We extend the Ståhl-Rubinstein alternating-offer bargaining procedure to allow players, prior to each bargaining round, to simultaneously and visibly commit to some share of the pie. If commitment costs are small but increasing in the committed share, then the unique outcome consistent with common belief in future rationality (Perea, 2010), or more restrictively subgame perfect Nash equilibrium, exhibits a second mover advantage. In particular, as the smallest share of the pie approaches zero, the horizon approaches infinity, and commitment costs approach zero, the unique bargaining outcome corresponds to the reversed Rubinstein outcome (d =(1 + d); 1=(1 + d)), where d is the common discount factor.
Most research in economics studies agents somehow motivated by outcomes. Here, we study agents motivated by procedures instead, where procedures are de ned independently of an outcome. To that end, we design procedures which yield the same expected outcomes or carry the same information on others' intentions while they have di erent outcome-invariant properties. Agents are experimentally con rmed to exhibit preferences over these which link to psychological attributes of their moral judgment.
Many commodities (including energy, agricultural products and metals) are sold both on spot markets and through long-term contracts which commit the parties to exchange the commodity in each of a number of spot market periods. This paper shows how the length of contracts affects the possibility of collusion in a repeated price-setting game. Contracts can both help and hinder collusion, because reducing the size of the spot market cuts both the immediate gain from defection and the punishment for deviation. Firms can always sustain some collusive price above marginal cost if they sell the right number of contracts, of any duration, whatever their discount factor. As the duration of contracts increases, however, collusion becomes harder to sustain.
Version of October 2007. Please check for updates http://www.sciencedirect.com/
Read more research publications at: https://www.hhs.se/site
Analysis of Co-operative game theory for SMEs in a competitive Environment.
If you walk down the streets of London and ask any anyone: How do SMEs operate? Some will say it is about offering the best services to customers. Others will say that SMEs are the survivors of a tough competitive market. Some will argue that it is all about good management. Some will also say it is about getting finance. However, very few will mention networking, cooperation, union, education or even the best strategy to win. SMEs contribute with a combine turnover of £3,100 million in 2012 and of all the businesses 62.7% were sole proprietorship, 28% were companies and 9.3% were partnership. (FSB, 2013) With the current UK Government invention to boost up SMEs funding, with an additional £300 million, one can assume the likelihood of an increase in SMEs in UK.
On the contrary, little research has been conducted on Game theory in SMEs (Tidd et al, 1997) In Business, Game theory aims to help organisation to understand situation in which decisions can be made. (Osborne, 2000) Game Theory has provide a methodology that has brought insight into many previously unexplained phenomena by allowing asymmetric information and strategic interaction to be incorporated into the analysis. (Chalterjee et al, 2001)
This research proposal will look into how game theory could help SMEs in different sectors to achieve a higher payoff by cooperating with competitors while there is excess demand in the market. In addition, this research will educate SMEs about the market, opting for opportunity cost, introducing SMEs networking in their particular sector. Moreover, this research could help SMEs to grow through Mergers and Acquisitions.
Most research in economics studies agents somehow motivated by outcomes. Here, we study agents motivated by procedures instead, where procedures are de ned independently of an outcome. To that end, we design procedures which yield the same expected outcomes or carry the same information on others' intentions while they have di erent outcome-invariant properties. Agents are experimentally con rmed to exhibit preferences over these which link to psychological attributes of their moral judgment.
Many commodities (including energy, agricultural products and metals) are sold both on spot markets and through long-term contracts which commit the parties to exchange the commodity in each of a number of spot market periods. This paper shows how the length of contracts affects the possibility of collusion in a repeated price-setting game. Contracts can both help and hinder collusion, because reducing the size of the spot market cuts both the immediate gain from defection and the punishment for deviation. Firms can always sustain some collusive price above marginal cost if they sell the right number of contracts, of any duration, whatever their discount factor. As the duration of contracts increases, however, collusion becomes harder to sustain.
Version of October 2007. Please check for updates http://www.sciencedirect.com/
Read more research publications at: https://www.hhs.se/site
Analysis of Co-operative game theory for SMEs in a competitive Environment.
If you walk down the streets of London and ask any anyone: How do SMEs operate? Some will say it is about offering the best services to customers. Others will say that SMEs are the survivors of a tough competitive market. Some will argue that it is all about good management. Some will also say it is about getting finance. However, very few will mention networking, cooperation, union, education or even the best strategy to win. SMEs contribute with a combine turnover of £3,100 million in 2012 and of all the businesses 62.7% were sole proprietorship, 28% were companies and 9.3% were partnership. (FSB, 2013) With the current UK Government invention to boost up SMEs funding, with an additional £300 million, one can assume the likelihood of an increase in SMEs in UK.
On the contrary, little research has been conducted on Game theory in SMEs (Tidd et al, 1997) In Business, Game theory aims to help organisation to understand situation in which decisions can be made. (Osborne, 2000) Game Theory has provide a methodology that has brought insight into many previously unexplained phenomena by allowing asymmetric information and strategic interaction to be incorporated into the analysis. (Chalterjee et al, 2001)
This research proposal will look into how game theory could help SMEs in different sectors to achieve a higher payoff by cooperating with competitors while there is excess demand in the market. In addition, this research will educate SMEs about the market, opting for opportunity cost, introducing SMEs networking in their particular sector. Moreover, this research could help SMEs to grow through Mergers and Acquisitions.
Disentangling the effect of private and public cash flows on firm valueFGV Brazil
This paper presents a simple model for dual-class stock shares, in which common shareholders receive both public and private cash flows (i.e. dividends and any private benefit of holding voting rights) and preferred shareholders only receive public cash flows (i.e. dividends). The dual-class premium is driven not only by the firm's ability to generate cash flows, but also by voting rights. We isolate these two effects in order to identify the role of voting rights on equity-holders' wealth. In particular, we employ a cointegrated VAR model to retrieve the impact of the voting rights value on cash flow rights. We finnd a negative relation between the value of the voting right and the preferred shareholders' wealth for Brazilian cross- listed firms. In addition, we examine the connection between the voting right value and market and firm specific risks.
Date: 2017-03
Authors:
Autor
Scherrer, Cristina Mabel
Fernandes, Marcelo
Moral Hazard Summary Microeconomics 2016Lisa Raffi
Moral Hazard Notes Summary of Theory of Incentives by Laffont and Martimort 2014. Exogeneous Endogenous First Best Second Best Contracts Asymmetric Information #economics #microeconomics #microeconomic analysis #economicpolicy #contracts #incentives #students #university #lagrangian #Lagrange #multipliers #optimization #optimum #pareto adverse selection wiki
adverse selection pdf
adverse selection and moral hazard
adverse selection definition
adverse selection definizione
selezione avversa economia
market of lemons
azzardo morale
This research investigates the determinants of the capital structure of firms listed service sector on BIST(Borsa Istanbul) and the adjustment process towards this target. The econometric analysis employs the Generalized Method of Moments estimators (GMM-Sys, GMM difference) techniques that controls for unobserved firm-specific effects and the endogeneity problem. The findings of the paper suggest that firms have target leverage ratios and they adjust to them relatively fast. Consistent with the predictions of capital structure theories and the findings of the empirical literature, the results of this paper suggest that size, assets tangibility, profitability, growth opportunity except earnings volatility have significant effects on the capital structure choice of hotels and restaurants.The capital structure or leverage is measured by total debt ratio. Analysis results indicates that firms with high profits, sizable, high fixed assets ratio and high total sales and more growth opportunities tend to have relatively less debt in their capital structures.
Blog post from Mary M. Collins of MFMA commenting on Wendi Lazar's "Lessons from Conan" article published in the Financial Manager Magazine. This post appears at http://www.rbr.com/features/ideas-working-now/23858.html
Disentangling the effect of private and public cash flows on firm valueFGV Brazil
This paper presents a simple model for dual-class stock shares, in which common shareholders receive both public and private cash flows (i.e. dividends and any private benefit of holding voting rights) and preferred shareholders only receive public cash flows (i.e. dividends). The dual-class premium is driven not only by the firm's ability to generate cash flows, but also by voting rights. We isolate these two effects in order to identify the role of voting rights on equity-holders' wealth. In particular, we employ a cointegrated VAR model to retrieve the impact of the voting rights value on cash flow rights. We finnd a negative relation between the value of the voting right and the preferred shareholders' wealth for Brazilian cross- listed firms. In addition, we examine the connection between the voting right value and market and firm specific risks.
Date: 2017-03
Authors:
Autor
Scherrer, Cristina Mabel
Fernandes, Marcelo
Moral Hazard Summary Microeconomics 2016Lisa Raffi
Moral Hazard Notes Summary of Theory of Incentives by Laffont and Martimort 2014. Exogeneous Endogenous First Best Second Best Contracts Asymmetric Information #economics #microeconomics #microeconomic analysis #economicpolicy #contracts #incentives #students #university #lagrangian #Lagrange #multipliers #optimization #optimum #pareto adverse selection wiki
adverse selection pdf
adverse selection and moral hazard
adverse selection definition
adverse selection definizione
selezione avversa economia
market of lemons
azzardo morale
This research investigates the determinants of the capital structure of firms listed service sector on BIST(Borsa Istanbul) and the adjustment process towards this target. The econometric analysis employs the Generalized Method of Moments estimators (GMM-Sys, GMM difference) techniques that controls for unobserved firm-specific effects and the endogeneity problem. The findings of the paper suggest that firms have target leverage ratios and they adjust to them relatively fast. Consistent with the predictions of capital structure theories and the findings of the empirical literature, the results of this paper suggest that size, assets tangibility, profitability, growth opportunity except earnings volatility have significant effects on the capital structure choice of hotels and restaurants.The capital structure or leverage is measured by total debt ratio. Analysis results indicates that firms with high profits, sizable, high fixed assets ratio and high total sales and more growth opportunities tend to have relatively less debt in their capital structures.
Blog post from Mary M. Collins of MFMA commenting on Wendi Lazar's "Lessons from Conan" article published in the Financial Manager Magazine. This post appears at http://www.rbr.com/features/ideas-working-now/23858.html
As famous investor Marc Andreessen said, “Software is eating the world.” In other words, software is and will remain relevant, making software startups popular and attractive. For aspiring and current entrepreneurs, this talk will focus on the practical aspects of creating and running a software startup. Topics will include: managing a software project, hiring tech people, hosting and operations, security, intellectual property, which programming language to use, and social media, with a dual emphasis on what to do and why to do it that way.
Although there exists a vast literature on aid efficiency (the effect of aid on GDP), and that aid allocation determinants have been estimated, little is known about the minute details of aid allocation. This article investigates empirically a claim repeatedly made in the past that aid donors herd. Building upon a methodology applied to financial markets, this article finds that aid donors herd similarly to portfolio funds on financial markets. It also estimates the causes of herding and finds that political transitions towards more autocratic regimes repel donors, but that transitions towards democracy have no effect. Finally, identified causes of herding explain little of its overall level, suggesting strategic motives play an important role.
We use newly compiled top income share data and structural breaks techniques to estimate common trends and breaks in inequality across countries over the twentieth century. Our results both confirm earlier findings and offer new insights. In particular, the division into an Anglo-Saxon and a Continental European experience is not as clear cut as previously suggested. Some Continental European countries seem to have experienced increases in top income shares, just as Anglo-Saxon countries, but typically with a lag. Most notably, Nordic countries display a marked “Anglo-Saxon” pattern, with sharply increased top income shares especially when including realized capital gains. Our results help inform theories about the causes of the recent rise in inequality.
The invention of information, communication, and computing technology (ICT) has made it possible to use automated processes to replace labor in certain ”routine” tasks, which require following exact, well-defined procedures. We study the implications of this for the labor income share as well as the allocation of labor across routine and non-routine occupations. We document a substantial decline in the routine labor income share since 1979 as well as a simultaneous rise in the the non-routine labor income share. At the same time, the ICT capital income share nearly doubled while the non-ICT capital income share remained at its historical levels. We use these trends to calibrate a neoclassical growth model, in which ICT capital and routine labor are imperfect substitutes. We further allow for exogenous changes in the production intensity of non-routine labor. Our calibration suggests that the decline in the aggregate labor income share is a result of the automation of routine tasks. However, the reallocation of labor toward non-routine occupations is due primarily to the increase in the production intensity of non-routine labor as opposed to the accumulation of ICT.
Arrangements by which politically connected firms receive economic favors are a common feature around the world, but little is known of the form or effects of influence in business-
government relationships. We present a simple model in which influence requires firms to provide goods of political value in exchange for economic privileges. We argue that political influence improves the business environment for selected firms, but restricts their ability to fire workers. Under these conditions, if political influence primarily lowers fixed costs over variable costs, then favored firms will be less likely to invest and their productivity will suffer, even if they earn higher profits than non-influential firms. We rely on the World Bank's Enterprise Surveys of approximately 8,000 firms in 40 developing countries, and control for a number of biases present in the data. We find that influential firms benefit from lower administrative and regulatory barriers (including bribe taxes), greater pricing power, and easier access to credit. But these firms also provide politically valuable benefits to incumbents through bloated payrolls and greater tax payments. Finally, these firms are worse-performing than their non-influential counterparts. Our results highlight a potential channel by which cronyism leads to persistent underdevelopment.
Intergenerational mobility, intergenerational effects, the role of family background, and equality of opportunity: a comparison of four approaches
Anders Björklund
SOFI, Stockholm University
SITE, Stockholm, September 2, 2014
How did the introduction of oral contraception (the Pill) alter teenage childbearing in Sweden? Teen fertility was halved in the decade following the Pills introduction. New data on oral contraceptive sales reveals that the largest declines occurred in communities with high take-up of the Pill. Di¤erences-in-di¤erences-in-di¤erences (DDD) comparisons, exploiting time variation across localities and age groups, point to a strong negative relationship between Pill use and fertility. Illegitimacy patterns from a century earlier are used as instruments to isolate that part of Pill use which is predetermined. IV estimates imply that the Pills di¤usion could account for the entire decline in teenage childbearing observed in the data. The estimated e¤ect on non-marital childbearing is large and negative; the data do not support the predictions of Akerlof et al (1996) but are consistent with the female empowerment model of Chiappori and Orre ce (2008).
Check the latest research publications and presentations on our website http://www.hhs.se/site
IOSR Journal of Economics and Finance (IOSR-JEF) discourages theoretical articles that are limited to axiomatics or that discuss minor variations of familiar models. Similarly, IOSR-JEF has little interest in empirical papers that do not explain the model's theoretical foundations or that exhausts themselves in applying a new or established technique (such as cointegration) to another data set without providing very good reasons why this research is important.
I provide a (very) brief introduction to game theory. I have developed these notes to
provide quick access to some of the basics of game theory; mainly as an aid for students
in courses in which I assumed familiarity with game theory but did not require it as a
prerequisite
When a government creates an agency to gather information relevant to policymaking, it faces two critical organizational questions: whether the agency should be given authority to
decide on policy or merely supply advice, and what should the policy goals of the agency be. Existing literature on the first question is unable to address the second, because the question
of authority becomes moot if the government can simply replicate its preferences within the agency. In contrast, this paper examines both questions within a model of policymaking under time inconsistency, a setting in which the government has a well-known incentive to create an agency with preferences that differ from its own. Thus, our framework permits a meaningful analysis of delegation versus communication with an endogenously chosen agent. The first main finding of the paper is that the government can do equally well with a strategic choice of agent, from which it solicits advice, instead of delegating authority, as long as the time inconsistency problem is not too severe. The second main finding is that the government may strictly prefer seeking advice to delegating authority if there is prior uncertainty with respect to what is the optimal policy.
By Anders Olofsgård (with R. Luma), published in Journal of Public Economics.
A Nash equilibrium is a pair of strategies, one for each player, i.docxevonnehoggarth79783
A Nash equilibrium is a pair of strategies, one for each player, in which each strategy is a best response against the other.
When players act rationally, optimally, and in their own self-interest, it’s possible to compute the likely outcomes of games. By studying games, we learn where the pitfalls are and how to avoid them.
Sequential games include a potential first-mover advantage, or disadvantage, and players can change the outcome by committing to a future course of action.. Credible commitments are difficult to make because they require that players threaten to act in an unprofitable way—against their self-interest.
In simultaneous-move games, players move at the same time.
In the prisoners’ dilemma, conflict and cooperation are in tension—self-interest leads to outcomes that no one likes. Studying the games can help you figure a way to avoid these bad outcomes.
In repeated games, it is much easier to get out of bad situations. Here are some general rules of thumb:
Be nice: No first strikes.
Be easily provoked: Respond immediately to rivals.
Be forgiving: Don’t try to punish competitors too much.
Don’t be envious: Focus on your own slice of the profit pie, not on your competitor’s.
Be clear: Make sure your competitors can easily interpret your actions.
A significant portion of our studies so far have revolved around situations in which the firm making the decision does not need to consider the effects of the decisions of other competitors in the market. In some markets, the firm we were examining was the only firm. In other markets, the firm was one of many firms and any individual firm’s decision would not affect the market significantly. In this chapter, we begin our study of situations in which there are a relatively small (but more than one!) number of actors in the market, and one actor’s decision will affect the outcomes of the other actors. A new tool is developed, the Nash Equilibrium, which will be used to study such situations.
Definition of a Game
A game (in the Game Theory sense) is any situation that has participants, a set of rules, and payoffs that depend on the actions chosen by all participants. The rules include such things as what actions are available to the participants, what information is available to each participant when they make their decisions, and the order in which participants make their decisions. The definition of a game is quite broad, and intentionally so. Chess, poker, checkers, baseball, football, Jeopardy!, Go, auctions, negotiations, competition in business, behavior in cartels, how to monitor employees, what to do when serving or receiving in tennis, which way to shoot when taking a penalty shot in soccer, and what to do when approaching a stoplight either are games or can be modeled using Game Theory.
Nash Equilibrium
The idea behind Nash Equilibrium is that if and when all the participant’s actions are revealed, no participant wishes to change their action. In other words, every participant’s .
Similar to Commitment in Alternating Offers Bargaining (20)
Presented by Anastasia Luzgina during the conference "Belarus at the crossroads: The complex role of sanctions in the context of totalitarian backsliding" on April 23, 2024.
Presented by Erlend Bollman Bjørtvedt during the conference "Belarus at the crossroads: The complex role of sanctions in the context of totalitarian backsliding" on April 23, 2024.
Presented by Dzimtry Kruk during the conference "Belarus at the crossroads: The complex role of sanctions in the context of totalitarian backsliding" on April 23, 2024.
Presented by Lev Lvovskiy during the conference "Belarus at the crossroads: The complex role of sanctions in the context of totalitarian backsliding" on April 23, 2024.
Presented by Chloé Le Coq, Professor of Economics, University of Paris-Panthéon-Assas, Economics and Law Research Center (CRED), during SITE 2023 Development Day conference.
This year’s SITE Development Day conference will focus on the Russian war on Ukraine. We will discuss the situation in Ukraine and neighbouring countries, how to finance and organize financial support within the EU and within Sweden, and how to deal with the current energy crisis.
This year’s SITE Development Day conference will focus on the Russian war on Ukraine. We will discuss the situation in Ukraine and neighbouring countries, how to finance and organize financial support within the EU and within Sweden, and how to deal with the current energy crisis.
The (Ce)² Workshop is organised as an initiative of the FREE Network by one of its members, the Centre for Economic Analysis (CenEA, Poland) together with the Centre for Microdata Methods and Practice (CeMMAP, UK). This will be the seventh edition of the workshop which will be held in Warsaw on 27-28 June 2022.
The (Ce)2 workshop is organised as an initiative of the FREE Network by one of its members, the Centre for Economic Analysis (CenEA, Poland) together with the Centre for Microdata Methods and Practice (CeMMAP, UK). This will be the seventh edition of the workshop which will be held in Warsaw on 27-28 June 2022.
The (Ce)2 workshop is organised as an initiative of the FREE Network by one of its members, the Centre for Economic Analysis (CenEA, Poland) together with the Centre for Microdata Methods and Practice (CeMMAP, UK). This will be the seventh edition of the workshop which will be held in Warsaw on 27-28 June 2022.
The (Ce)2 workshop is organised as an initiative of the FREE Network by one of its members, the Centre for Economic Analysis (CenEA, Poland) together with the Centre for Microdata Methods and Practice (CeMMAP, UK). This will be the seventh edition of the workshop which will be held in Warsaw on 27-28 June 2022.
What price will pi network be listed on exchangesDOT TECH
The rate at which pi will be listed is practically unknown. But due to speculations surrounding it the predicted rate is tends to be from 30$ — 50$.
So if you are interested in selling your pi network coins at a high rate tho. Or you can't wait till the mainnet launch in 2026. You can easily trade your pi coins with a merchant.
A merchant is someone who buys pi coins from miners and resell them to Investors looking forward to hold massive quantities till mainnet launch.
I will leave the telegram contact of my personal pi vendor to trade with.
@Pi_vendor_247
Poonawalla Fincorp and IndusInd Bank Introduce New Co-Branded Credit Cardnickysharmasucks
The unveiling of the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card marks a notable milestone in the Indian financial landscape, showcasing a successful partnership between two leading institutions, Poonawalla Fincorp and IndusInd Bank. This co-branded credit card not only offers users a plethora of benefits but also reflects a commitment to innovation and adaptation. With a focus on providing value-driven and customer-centric solutions, this launch represents more than just a new product—it signifies a step towards redefining the banking experience for millions. Promising convenience, rewards, and a touch of luxury in everyday financial transactions, this collaboration aims to cater to the evolving needs of customers and set new standards in the industry.
Exploring Abhay Bhutada’s Views After Poonawalla Fincorp’s Collaboration With...beulahfernandes8
The financial landscape in India has witnessed a significant development with the recent collaboration between Poonawalla Fincorp and IndusInd Bank.
The launch of the co-branded credit card, the IndusInd Bank Poonawalla Fincorp eLITE RuPay Platinum Credit Card, marks a major milestone for both entities.
This strategic move aims to redefine and elevate the banking experience for customers.
US Economic Outlook - Being Decided - M Capital Group August 2021.pdfpchutichetpong
The U.S. economy is continuing its impressive recovery from the COVID-19 pandemic and not slowing down despite re-occurring bumps. The U.S. savings rate reached its highest ever recorded level at 34% in April 2020 and Americans seem ready to spend. The sectors that had been hurt the most by the pandemic specifically reduced consumer spending, like retail, leisure, hospitality, and travel, are now experiencing massive growth in revenue and job openings.
Could this growth lead to a “Roaring Twenties”? As quickly as the U.S. economy contracted, experiencing a 9.1% drop in economic output relative to the business cycle in Q2 2020, the largest in recorded history, it has rebounded beyond expectations. This surprising growth seems to be fueled by the U.S. government’s aggressive fiscal and monetary policies, and an increase in consumer spending as mobility restrictions are lifted. Unemployment rates between June 2020 and June 2021 decreased by 5.2%, while the demand for labor is increasing, coupled with increasing wages to incentivize Americans to rejoin the labor force. Schools and businesses are expected to fully reopen soon. In parallel, vaccination rates across the country and the world continue to rise, with full vaccination rates of 50% and 14.8% respectively.
However, it is not completely smooth sailing from here. According to M Capital Group, the main risks that threaten the continued growth of the U.S. economy are inflation, unsettled trade relations, and another wave of Covid-19 mutations that could shut down the world again. Have we learned from the past year of COVID-19 and adapted our economy accordingly?
“In order for the U.S. economy to continue growing, whether there is another wave or not, the U.S. needs to focus on diversifying supply chains, supporting business investment, and maintaining consumer spending,” says Grace Feeley, a research analyst at M Capital Group.
While the economic indicators are positive, the risks are coming closer to manifesting and threatening such growth. The new variants spreading throughout the world, Delta, Lambda, and Gamma, are vaccine-resistant and muddy the predictions made about the economy and health of the country. These variants bring back the feeling of uncertainty that has wreaked havoc not only on the stock market but the mindset of people around the world. MCG provides unique insight on how to mitigate these risks to possibly ensure a bright economic future.
when will pi network coin be available on crypto exchange.DOT TECH
There is no set date for when Pi coins will enter the market.
However, the developers are working hard to get them released as soon as possible.
Once they are available, users will be able to exchange other cryptocurrencies for Pi coins on designated exchanges.
But for now the only way to sell your pi coins is through verified pi vendor.
Here is the telegram contact of my personal pi vendor
@Pi_vendor_247
Empowering the Unbanked: The Vital Role of NBFCs in Promoting Financial Inclu...Vighnesh Shashtri
In India, financial inclusion remains a critical challenge, with a significant portion of the population still unbanked. Non-Banking Financial Companies (NBFCs) have emerged as key players in bridging this gap by providing financial services to those often overlooked by traditional banking institutions. This article delves into how NBFCs are fostering financial inclusion and empowering the unbanked.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
where can I find a legit pi merchant onlineDOT TECH
Yes. This is very easy what you need is a recommendation from someone who has successfully traded pi coins before with a merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi network coins and resell them to Investors looking forward to hold thousands of pi coins before the open mainnet.
I will leave the telegram contact of my personal pi merchant to trade with
@Pi_vendor_247
If you are looking for a pi coin investor. Then look no further because I have the right one he is a pi vendor (he buy and resell to whales in China). I met him on a crypto conference and ever since I and my friends have sold more than 10k pi coins to him And he bought all and still want more. I will drop his telegram handle below just send him a message.
@Pi_vendor_247
How to get verified on Coinbase Account?_.docxBuy bitget
t's important to note that buying verified Coinbase accounts is not recommended and may violate Coinbase's terms of service. Instead of searching to "buy verified Coinbase accounts," follow the proper steps to verify your own account to ensure compliance and security.
Even tho Pi network is not listed on any exchange yet.
Buying/Selling or investing in pi network coins is highly possible through the help of vendors. You can buy from vendors[ buy directly from the pi network miners and resell it]. I will leave the telegram contact of my personal vendor.
@Pi_vendor_247
The secret way to sell pi coins effortlessly.DOT TECH
Well as we all know pi isn't launched yet. But you can still sell your pi coins effortlessly because some whales in China are interested in holding massive pi coins. And they are willing to pay good money for it. If you are interested in selling I will leave a contact for you. Just telegram this number below. I sold about 3000 pi coins to him and he paid me immediately.
Telegram: @Pi_vendor_247
1. Commitment in Alternating O¤ers Bargaining
Topi Miettinen
Stockholm School of Economics
Andrés Perea
Maastricht University
This version: September 2010
Abstract
We extend the Ståhl-Rubinstein alternating-o¤er bargaining procedure to allow players,
prior to each bargaining round, to simultaneously and visibly commit to some share of the
pie. If commitment costs are small but increasing in the committed share, then the unique
outcome consistent with common belief in future rationality (Perea, 2010), or more restric-
tively subgame perfect Nash equilibrium, exhibits a second mover advantage. In particular,
as the smallest share of the pie approaches zero, the horizon approaches in…nity, and com-
mitment costs approach zero, the unique bargaining outcome corresponds to the reversed
Rubinstein outcome ( =(1 + ); 1=(1 + )), where is the common discount factor.
KEYWORDS: alternating o¤er bargaining, bargaining power, commitment, epistemic
game theory, patience
JEL CODES: C73, C78, D84
Topi Miettinen: Stockholm School of Economics
P.O. Box 6501, Sveavägen 65, SE-113 83 Stockholm, Sweden.
topi.miettinen@hhs.se
Web: http://www2.hhs.se/SITE/homepages/topi.html
Andrés Perea: Maastricht University, Department of Quantitative Economics
P.O. Box 616, 6200 MD Maastricht, The Netherlands.
a.perea@maastrichtuniversity.nl
Web: http://www.personeel.unimaas.nl/a.perea/
We would like to thank Tore Ellingsen and Jörgen Weibull for insightful comments.
2. 1. Introduction
"...it has not been uncommon for union o¢ cials to stir up excitement and determination on the
part of the membership during or prior to a wage negotiation. If the union is going to insist
on $2 and expects the management to counter with $1.60, an e¤ort is made to persuade the
membership not only that the management could pay $2 but even perhaps that the negotiators
themselves are incompetent if they fail to obtain close to $2. The purpose ... is to make clear to
the management that the negotiators could not accept less than $2 even if they wished to because
they no longer control the members or because they would lose their own positions if they tried."
In this quotation from his classic book, Schelling (1960) vividly illustrates that strategic
commitment is often an essential feature of bargaining tactics and that parties of negotiations
often have access to actions that commit them to some strategically chosen bargaining position.
During the 50 years that have followed, however, there has been fairly little progress in game
theoretic analysis of such commitments. Notable exceptions are Crawford (1982), Muthoo (1992,
1996), and more recently Ellingsen and Miettinen (2008, 2010) and Li (2010).
In this paper, we follow Muthoo (1992), Li (2010) and Ellingsen and Miettinen (2010) and
consider the e¤ect of commitment strategies in a dynamic complete information bargaining
framework. We limit attention to the …nite horizon alternating o¤er game (Ståhl, 1972; Ru-
binstein, 1982) although we do study the in…nite horizon limit. We model parties who can,
simultaneously and prior to each alternating o¤er, commit not to agree on any share smaller
than speci…ed in the commitment. Strategic commitment is assumed to incur small costs. These
costs are increasing in the share to which the party commits re‡ecting the idea that more re-
sources must be invested to build a credible commitment when the opportunity cost of turning
down a deal is larger. After each round of bargaining, any prior commitments are relaxed and
players may again choose a commitment to any share they wish.
Our work builds heavily upon the work of Rubinstein (1982) and Ellingsen and Miettinen
(2008). The main insight of Rubinstein’s pioneering work on bargaining is that, under complete
information, equilibrium strategies are determined by the relative impatience of the bargaining
parties. In equilibrium, the proposer makes an o¤er so that the responder is indi¤erent between
accepting the o¤er and rejecting it, given the cost of waiting; and the responder accepts the
o¤er. Thus there is an e¢ cient immediate agreement with a …rst-mover advantage. Ellingsen
and Miettinen (2008) recently illustrated how mutual attempts of aggressive incompatible com-
mitment may be unavoidable in bilateral bargaining, if commitments can only be attempted
prior to the negotiations and they are not certain to succeed. With certain commitments, it
is better to remain ‡exible and sign on the other’s o¤er than to commit oneself, especially if
commitment incurs a small cost. Yet, a very aggressive commitment is the best-response to not
committing at all. The opponent’s aggressive commitment leaves little room of manoeuvre and
thus even small loopholes in the opponent’s commitment invite betting on being the only one
to succeed in an aggressive commitment attempt despite the risk of an impasse.
2
3. In the present context we show that, in line with Rubinstein (1982) and contrary to Ellingsen
and Miettinen (2008), the deal is always stroke immediately. However, contrary to Rubinstein’s
outcome, there is a second-mover advantage rather than a …rst-mover advantage! This is sur-
prising, as both parties commit simultaneously at the beginning of every round and there are no
exogenous asymmetries in the commitment technology. The intuition for the result is the fol-
lowing: commitments are short-lasting and there is no uncertainty about who has the initiative
(pre-determined alternating o¤ers structure). Thus, the …rst one to propose does not have to
worry about committing before her proposal; whatever share the second-mover commits to, it
is best for the …rst-mover to avoid any costs by refraining from committing. In equilibrium she
proposes the second-mover the share he commits to and takes the residual share herself, provided
that the residual makes her better o¤ than waiting for the follow-up round. Knowing this, the
second-mover will commit up to the share that makes the …rst-mover indi¤erent between having
the residual share and waiting. Thus, the presence of symmetric commitment strategies entirely
reverses the bargaining power of the parties! In the limit, where the cost of commitment and the
smallest indivisible share of the pie approach zero, and where the number of rounds approaches
in…nity, the outcome approaches the reversed Rubinstein (1982) outcome, ( =(1 + ); 1=(1 + )),
where is the common discount factor.
We analyze the game using the concept of common belief in future rationality (Perea, 2010),
meaning that both players always believe that the opponent will choose rationally now and in
the future, that both players always believe that both players always believe that the opponent
will choose rationally now and in the future, and so on. This concept is a typical backward
induction concept as it assumes that players, throughout the game, only reason about the
future, and not about the past. In fact, in generic games with perfect information, common
belief in future rationality leads to the unique backward induction strategy for every player.
The concept is weaker, but at the same time more basic, than subgame perfect equilibrium as
no equilibrium condition is being imposed1. As Perea (2010) has shown, the strategies that
may be chosen under common belief in future rationality can be computed by the algorithm
of backward dominance. Since every subgame perfect equilibrium of the game survives the
backward dominance procedure, it follows that the outcome of the bargaining game described
above is also the unique subgame perfect equilibrium outcome of the game.
Our analysis contributes to the agenda, initiated by Schelling (1956), of carefully analyzing
and understanding commitment institutions and mechanisms and their implications on the bar-
gaining outcomes. Among the related works, Crawford (1982) and Muthoo (1992, 1996) have
studied the e¤ects of revocable commitments; in our model in contrast, commitments auto-
1
Another non-equilibrium concept which has been developed for dynamic games is extensive form rationalizabil-
ity (Pearce (1984), Battigalli (1997), Battigalli and Siniscalchi (2002)). However, extensive form rationalizability
is a typical forward induction concept, which requires players also to critically reason about the opponents’past
choices, and not only about the opponents’ present and future choices, as common belief in future rationality
does. In many dynamic games, extensive form rationalizability and common belief in future rationality lead to
di¤erent strategy choices for the players .
3
4. matically vanish but parties can make a costly recommitment to any share they like after each
round. Ellingsen and Miettinen (2008, 2010) analyze costly and long-lasting precommitment to
o¤ers and thus they cannot be freely adjusted after each round. Also, unlike in Ellingsen and
Miettinen (2008, 2010), players do not commit directly to proposals in our model, but rather
to veto any deal where their share is smaller than their commitment. In this respect the model
resembles those of Muthoo (1992, 1996) and the endogenous commitment models analyzed in
Fershtman and Seidmann (1993), Li (2007), and Miettinen (2010), in which yet, the smallest
acceptable shares are determined by the bargaining history in some exogenously determined way
rather than freely chosen by players.
Schelling also mentions reputation as an important means of pre-commitment. Myerson
(1991) and Abreu and Gul (2000) analyze such reputation contexts where one party has in-
complete information about the opponent’s stubbornness not to accept anything less than an
exogenously given share of the pie. The opponent can then use commitment tactics that exploit
this incomplete information and strategically mimic stubbornness in order to force concessions
from the other party. This induces delay and in‡uences the …nal sharing.
Outside options bear a close relation to the current complete information alternating o¤er
bargaining model. Compte and Jehiel (2002) show that exogenous outside options may alto-
gether eliminate the strategic e¤ects of reputation for stubbornness. It has also been shown that,
when a party, by opting out, gets a payo¤ that is inferior to the equilibrium payo¤ he would
obtain in the game without outside options, then these latter have no e¤ect on the equilibrium
outcomes (Binmore et al. 1989). In our setting deliberately chosen commitment strategies in-
‡uence bargaining outcomes exactly because they are chosen so as to force concessions superior
to those in the Rubinstein outcome.
The results closest in spirit to ours are perhaps Dixit’s (1980) extension of the Spence-Dixit
excess capacity model and Ellingsen’s (1995) analysis of timing in oligopoly. Dixit shows that
an incumbent …rm, who nevertheless is presumed to play the role of the follower, can use the
commitment, provided by an excess capacity investment, in seizing limited initiative back from
the entrant. Ellingsen shows in a Cournot duopoly setting that, if one of the …rms alone can
choose to pile up investment later, that …rm will endogenously end up in the Stackelberg follower
position, whereas the …rm who can only invest at present will become the leader.2
The paper is organized as follows. In Section 2, we set up the model and the bargaining
procedure. In Section 3 we present the concept of common belief in future rationality, and the
associated algorithm of backward dominance. In Section 4 we analyze the model with one round
of bargaining. We will use it as a benchmark for our analysis of more than one round in Section
5. We also investigate the limit behavior of this outcome, when the commitment costs go to
zero and the number of rounds goes to in…nity. We conclude in Section 6.
2
These are the only strategies surviving iterated elimination of weakly dominated strategies.
4
5. 2. The Bargaining Procedure
There are two players, 1 and 2, who must reach an agreement about the division of one unit
of some good. We assume that the smallest amount is 1=K for some integer number K: Let
X := f0; 1=K; 2=K; :::; 1g: Hence, the set of possible divisions is given by
D := f(x1; x2) : x1; x2 2 X and x1 + x2 1g:
Players 1 and 2 use the following bargaining procedure, which can last for at most N rounds.
Round 1: At the beginning, both players simultaneously choose commitment levels c1; c2 2
X: The commitment levels become known to both players, and player 1 proposes a division
(x1; x2) 2 D with x1 c1: Subsequently, player 2 decides whether to accept or reject the
proposal under the condition that he can only accept o¤ers with x2 c2: If he accepts, (x1; x2)
is the …nal outcome. If he rejects, the game moves to round 2.
Round 2: At the beginning, both players simultaneously choose new commitment levels c1; c2 2
X: Afterwards, player 2 proposes a division (x1; x2) 2 D with x2 c2: Subsequently, player 1
decides whether to accept or reject (x1; x2); under the condition that he can only accept o¤ers
with x1 c1: If he accepts, (x1; x2) is the …nal outcome. If he rejects, the game moves to round
3.
Round 3: This is a repetition of round 1. And so on.
This bargaining procedure goes on until an agreement is reached, or the process enters round
N + 1: In round N + 1; a given division (y1; y2) 2 D is realized.
We assume that both players incur a cost for commitment, and that this cost is increasing
in the amount to which the player commits. The reason for the latter is that the higher the
amount to which the player commits, the more di¢ cult it will be to stick to this commitment.
More precisely, if player i commits to an amount ci; this will cost him ci; where is some small
positive number. For convenience, we assume that is the same for both players. We …nally
assume that both players discount future payo¤s by a common discount factor :
So, in view of all the above, the players’ utilities are as follows: If the players reach an
agreement on division (x1; x2) in round n; then the utility for player i is
n 1
xi c1
i + c2
i + ::: + n 1
cn
i ;
where ck
i is the commitment level chosen at round k: If the game reaches round N +1; his utility
would be
N
yi c1
i + c2
i + ::: + N 1
cN
i :
In order to avoid uninteresting indi¤erences, we assume that is such that a player is never
indi¤erent between two outcomes that are realized at two di¤erent rounds. Note that for every
open interval (a; b) in [0; 1]; we can always …nd such a that lies in (a; b); since there are only
5
6. …nitely many rounds, and …nitely many divisions and commitment levels at every round. By
choosing is this way, we guarantee that a player will never be indi¤erent between accepting
and rejecting an o¤er. This, eventually, will lead to a unique outcome in the bargaining game,
which makes our analysis more transparent.
Within our bargaining procedure above, the interpretation of the commitment levels is thus
that the proposer commits to never o¤er less than his commitment level for himself, whereas the
responder commits to reject any o¤er that would give him less than his commitment level. With
this interpretation in mind, it makes intuitive sense that the cost of commitment is assumed
to be increasing in the commitment level. A higher commitment level, namely, more heavily
restricts the subsequent choice set of the player, and for higher commitment levels, makes it
more tempting for this player to break his commitment. The higher cost of commitment for
larger shares should in this way re‡ect the larger opportunity cost.
3. Common Belief in Future Rationality
The concept we use to analyze the game is common belief in future rationality (Perea, 2010). In
this concept, we assume that a player always believes that his opponent will choose rationally
now and in the future, that a player always believes that his opponent always believes that he
will choose rationally now and in the future, and so on. It is thus a typical backward induction
concept, as a player is only required to reason about the opponents’choices in the future of
the game, and not about the opponents’ past choices. In that sense, is di¤ers considerably
from the notion of extensive form rationalizability (Pearce, 1984; Battigalli, 1997; Battigalli
and Siniscalchi, 2002), which is a typical forward induction concept, requiring players also to
think critically about opponents’past choices, and where possible try to draw conclusions from
these about possible future moves by this opponent. In many dynamic games, common belief
in future rationality and extensive form rationalizability select di¤erent strategy choices for the
players. In fact, in terms of strategy choices there is no general logical relationship between the
two concepts –in some games the former can be more restrictive, in other games the latter can
be more restrictive, and in yet some other games they may select completely opposed strategies
for a given player.
For a formal de…nition of common belief in future rationality within an epistemic model
the reader is referred to Perea (2010). In that paper, it is also shown that the strategies
that can rationally be chosen under common belief in future rationality are characterized by
an elimination procedure called backward dominance. For dynamic games with observed past
choices3, such as the game we consider in this paper, the backward dominance procedure works
as follows: We start at the ultimate subgames, that is, those subgames after which the game
is over. At each of those subgames, we restrict to strategies that reach this subgame, and
3
That is, games that may include simultaneous moves, but where the players always observe which choices
have been made by the opponents in the past.
6
7. apply iterated strict dominance (or, iterated elimination of strictly dominated strategies) to this
restricted game.
We then move to penultimate subgames, that is, subgames after which either the game is
over or an ultimate subgame starts. At each of those subgames, we restrict to strategies that
reach this subgame and that have not been eliminated yet by the procedure. We then apply
iterated strict dominance to these restricted games.
And so on, until we reach the beginning of the game. There, we restrict to strategies that
have not been eliminated yet, and apply iterated strict dominance to this restricted game. The
strategies that survive the …nal round of iterated strict dominance at the beginning of the game
are said to survive the backward dominance procedure.
For dynamic games with observed past choices, subgame perfect equilibrium is a strict re…ne-
ment of common belief in future rationality. That is, every strategy that is optimal in a subgame
perfect equilibrium can also be chosen rationally under common belief in future rationality, but
not vice versa (Perea, 2010). So, common belief in future rationality is weaker than subgame
perfect equilibrium. At the same time, we believe it is a more basic concept than subgame
perfect equilibrium, as no equilibrium condition is being imposed –we only require a player to
believe that his opponent chooses rationally now and in the future, that he believes that his
opponent reasons in this way as well, and so on. No other conditions are being imposed. If we
apply common belief in future rationality to generic games with perfect information, we obtain
the usual backward induction procedure, and hence the unique backward induction strategy for
every player. This con…rms the intuition that it is indeed a backward induction concept.
4. The Case of One Round
We start with the easiest case, namely when there is only one round of bargaining. For this
case, we already encounter a surprising result: Under common belief in future rationality (and
hence also under subgame perfect equilibrium) the proposer faces a …rst-mover disadvantage,
rather than a …rst-mover advantage. Actually, we can say a little more, namely the proposer
gets exactly what he would obtain as a responder in the procedure without commitment. So,
introducing the possibility to commit reverses the outcome completely! All this is obtained
under the assumption that the commitment costs are su¢ ciently small. More precisely, we
require < 1 :
Theorem 4.1. (Case of one round) Consider the procedure with only one round of bargaining,
and suppose that < 1 . Then, under common belief in future rationality, player 1 chooses
commitment level 0, player 2 chooses commitment level 1 y1; player 1 proposes ( y1; 1 y1)
and player 2 accepts.
Here, x denotes the smallest number in X larger than, or equal to, x: Remember that (y1; y2)
is the outcome if the proposal is rejected. So, player 1, the proposer, gets the minimal amount
7
8. he would still accept, whereas player 2, the responder, gets all the surplus! Notice that in the
classical bargaining procedure without commitment, this would be exactly the outcome when
player 2 would be the proposer and player 1 the responder.
Proof. For every pair (c1; c2) of commitment levels, the subgame that starts after (c1; c2) is
a game with perfect information. Hence, applying backward dominance to this subgame is the
same as using backward induction. After every (c1; c2); the backward induction outcome is as
follows:
1. If c1 + c2 > 1; or c1 > 1 y2; then player 2 will reject any proposal by player 1. Hence,
the outcome will be (y1; y2); with utility y1 c1 for player 1, and utility y2 c2 for
player 2.
2. If c2 > 1 y1; then player 1 does not want to make any o¤er that player 2 would accept.
Hence, the outcome will be (y1; y2); with utility y1 c1 for player 1, and utility y2 c2
for player 2.
3. Suppose that c1 + c2 1 and y2 < c2 < 1 y1: Then, the best that player 1 can do
is to o¤er player 2 precisely c2; which player 2 would accept. So, the outcome would be
(1 c2; c2); with utility 1 c2 c1 for player 1, and utility c2 c2 for player 2.
4. Suppose that c1 < 1 y2 and c2 < y2: Then, the best that player 1 can do is to o¤er
player 2 exactly y2; which player 2 would accept. So, the outcome would be (1 y2;
y2); with utility 1 y2 c1 for player 1, and utility y2 c2 for player 2.
It can easily be seen that this covers all possible cases. In Figure 1 we have depicted the
backwards induction utilities for both players after every possible pair (c1; c2): So, Figure 1
represents exactly the restricted game that the backward dominance procedure would consider
at the beginning of the game. In order to …nish the backward dominance procedure, we must
apply iterated strict dominance to the game in Figure 1.
From player 1’s utilities in Figure 1 it is easily veri…ed that, for every c2; player 1’s utility
is decreasing in his commitment level c1: This means, however, that c1 = 0 strictly dominates
every other c1 for player 1. So, we eliminate all c1 > 0 for player 1, which leaves only c1 = 0:
But then, in the reduced game that remains, player 2’s best choice is c2 = 1 y1: Here, we use
the assumption that < 1 : As we have seen above, the best that player 1 can do in this
case is to propose ( y1; 1 y1); which player 2 would accept. So, by applying the backward
dominance procedure, we obtain that player 1 chooses commitment level c1 = 0; player 2 chooses
c2 = 1 y1; player 1 proposes ( y1; 1 y1) and player 2 accepts. This completes the proof.
Theorem 4.1 illustrates two points. First, by setting y1 = y2 = 0, one can see that in a
single round ultimatum bargaining game, the second mover will reap the entire pie. Second,
by setting y1 = =(1 + ) and y2 = 1=(1 + ); we would e¤ectively add a simultaneous move
8
9. @
@
@
@
@
@
@@
y1 c1; y2 c2
1 c2 c1; c2 c2
1 y2 c1; y2 c2
1 y2
y2
1 y1
c1
c2
Figure 1: The case of one round: Backward induction utilities after every pair (c1; c1)
9
10. commitment stage to the alternating-o¤er protocol such that precommitments are valid only in
the …rst round of bargaining. Our result shows that this would in fact put the recipient of the
…rst o¤er in an even more advantageous position than where the proposer in the game without
commitments is: the recipient of the …rst proposal commits to 1 2
=(1+ ) = 1+ 2
1+ and leaves
only 2
=(1 + ) to the …rst mover.
5. The Case of More Rounds
We now turn to the case of more than one round. Also in this case, common belief in future
rationality leads to a unique outcome, where the proposer at round 1 faces a …rst-mover dis-
advantage, rather than a …rst-mover advantage. Actually, when the commitment cost tends
to zero, then the …rst proposer gets exactly what he would obtain as the …rst responder in the
procedure without commitment, and vice versa. So, again, introducing the possibility to com-
mit completely reverses the outcome as tends to zero! As every subgame perfect equilibrium
satis…es common belief in future rationality (Perea, 2010), it follows that this outcome is also
the unique subgame perfect equilibrium outcome in the game.
Theorem 5.1. (Case of more than one round) Suppose that the bargaining procedure consists
of N potential rounds, and that < 1 . Let p denote the proposer at round 1, and r the
responder at round 1. Then, common belief in future rationality leads to a unique outcome,
namely at round 1 proposer p commits to cp = 0, responder r commits to cr = xN
r ; proposer p
proposes the division (xN
p ; xN
r ) and responder r accepts, where xN
p ; xN
r are recursively given by
x1
p = yp; x1
r = 1 yp;
xN
p = (1 )xN 1
r ; and xN
r = 1 (1 )xN 1
r ;
for every N 2:
If we let tend to zero, then the recursive equations above would exactly yield the outcomes
for the players in the procedure without commitment, but with the roles of the proposer and
responder reversed! If the size of the smallest slice 1=K is small, then the amounts xN
p and xN
r
are approximately equal to
xN
p
(1 ) + ( 1)n n
(1 )n
1 + (1 )
+ ( 1)n 1 n
(1 )n 1
yp
and
xN
r
1 ( 1)n n
(1 )n
1 + (1 )
( 1)n 1 n
(1 )n 1
yp:
10
11. Recall that yp is the amount that player p would get at the end of the game, when all proposals
have been rejected. These approximations are obtained by setting x = x in the recursive
equations above, and solving them. If the number of rounds N becomes very large, then
xN
p
(1 )
1 + (1 )
and xN
r
1
1 + (1 )
which shows that there is a clear …rst-mover disadvantage. If in addition the commitment cost
would tend to zero, then in the limit we would obtain the reversed Rubinstein outcome
xN
p
1 +
and xN
r
1
1 +
:
Proof of Theorem 5.1. We prove the statement by induction on the number of rounds. If
N = 1; then the statement follows immediately from Theorem 4.1.
Now, assume that N 2; and that the statement holds for the procedure with N 1 rounds.
Let p be the proposer at round 1, and r the responder at round 1. Suppose that the proposal
at round 1 would be rejected. Then, the subgame that starts at round 2 is a procedure with
N 1 rounds, where r is the …rst proposer and p is the …rst responder. The commitment costs
incurred at round 1 are sunk costs, and therefore do not a¤ect the analysis in this subgame. By
our induction assumption we know that in this subgame, common belief in future rationality (or,
equivalently, the backward dominance procedure) leads to a unique outcome: player r chooses
commitment level cr = 0; player p chooses commitment level cp = xN 1
r ; player r proposes xN 1
p
for himself and xN 1
r for player p; and player p accepts. The corresponding utilities would be
xN 1
r xN 1
r = (1 )xN 1
r for player p and xN 1
p for player r:
Let us now move to round 1, the beginning of the game. If we apply the backward dominance
procedure, then we restrict to strategies that have not been eliminated yet, and perform iterated
strict dominance within this restricted game. By our induction assumption, the strategies that
have not been eliminated yet are such that, whenever the proposal at round 1 is rejected, then
the discounted utility for p is (1 )xN 1
r ; and the discounted utility for r is xN 1
p : By a
similar argument as in the proof of Theorem 4.1, we can then conclude that the restricted game
at round 1 is given by Figure 2. The only change compared to the proof in Theorem 4.1 is that
we substitute (1 )xN 1
r for y1; and substitute xN 1
p for y2: In Figure 2, the …rst utility always
corresponds to player p; and the second utility to player r:
From Figure 2, it can easily be concluded that proposer p’s utility is strictly decreasing in
his commitment level cp: Hence, all choices but cp = 0 are strictly dominated for player p: So, we
obtain a reduced game in which player p only chooses cp = 0: But then, using the assumption that
< 1 ; we see that player r’s best choice is cr = 1 (1 )xN 1
r : So, the backward dominance
procedure (and hence also common belief in future rationality) leads to a unique outcome, in
which at round 1 player p commits to cp = 0; player r commits to cr = 1 (1 )xN 1
r ; player
11
12. @
@
@
@
@
@
@
@
@@
(1 )xN 1
r cp; xN 1
p cr
1 cr cp; cr cr
1 xN 1
p cp; xN 1
p cr
1 xN 1
p
xN 1
p
1 (1 )xN 1
r
cp
cr
Figure 2: The restricted game at round 1
12
13. p proposes (1 )xN 1
r for himself, player p proposes 1 (1 )xN 1
r for player r; and player
r accepts. Since xN
p = (1 )xN 1
r and xN
r = 1 (1 )xN 1
r ; the statement of the theorem
follows for N rounds. By induction on N; the statement holds for every N; and hence the proof
is complete.
6. Concluding Remarks
6.1. Commitment Costs
In our model we have assumed that the commitment costs for both players are given by c;
where c is the amount committed to, and is some …xed number less than 1 : In fact, we
do not really need this speci…c functional form for the commitment costs. Instead, we could
assume that the commitment costs are given by a more general function (c); where (0) = 0;
the function is strictly increasing in the commitment level c; and (1) 1 : The reader
may verify that under these assumptions, common belief in future rationality would again lead
to a unique outcome, in which the proposer at round 1 faces a …rst-mover disadvantage. The
outcome can be computed by a recursive formula similar to the one used in Theorem 5.1. Also
under these assumptions we would obtain the reversed Rubinstein outcome ( =(1+ ); 1=(1+ ))
if we let the number of rounds go to in…nity, let the size of the smallest slice go to zero, and let
the commitment costs go to zero. However, in the paper we have chosen the speci…c functional
form c for the commitment costs as to keep the presentation and the analysis as simple as
possible.
6.2. Common Belief in Future Rationality
The reader may wonder why we have not chosen the more traditional concept of subgame perfect
equilibrium, instead of common belief in future rationality, to analyze the game. There are two
reasons.
First, common belief in future rationality is a more basic concept than subgame perfect
equilibrium, as it does not impose any equilibrium condition. It only requires that a player
always believes that his opponent will choose rationally now and in the future, that he always
believes that his opponent always believes that he will choose rationally now and in the future,
and so on. The concept of subgame perfect equilibrium also imposes these conditions, but
in addition requires some equilibrium conditions that are harder to justify, and which are not
assumed by common belief in future rationality.
Second, using common belief in future rationality as a concept makes our Theorem 5.1
stronger. Namely, common belief in future rationality is a weaker concept than subgame perfect
equilibrium. In fact, every subgame perfect equilibrium satis…es common belief in future ratio-
nality, but not vice versa. Therefore, our Theorem 5.1 implies that the outcome described there
is also the unique subgame perfect equilibrium outcome. However, the statement is stronger
13
14. than this: We do not need the equilibrium condition to arrive at this outcome. Imposing only
common belief in future rationality is already enough.
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