Does the Cultural Context Really Shape Welfare? A Comparative Analysis - pape...University of York
Does the Cultural Context Really Shape Welfare? A Comparative Analysis
Presented to UK Social Policy Association Annual Conference 2013, Sheffield, July 9th
John Hudson*, Nam K. Jo* and Antonia Keung***
Abstract
Despite increasing attention recently paid to the role of culture within comparative welfare studies, empirical explorations of the impact of culture on social policy remain rare. One recent exception is Jo’s (2011) analysis of on an in-between level conception of culture based on the exploration of stable societal values using quantitative cross-national surveys of social values in high-income nations. In this paper we update and expand this framework by adding data from the most recent releases of the European Values Study and World Values Survey and by exploring a wider range of policy areas. In so doing, we address the underlining theoretical question of whether the cultural context really shapes welfare policies and conclude that there is strong evidence to support the ‘culture matters’ thesis.
Acknowledgements
This research is supported by ESRC award ES/J00460X/1
Author Contact Details
* Department of Social Policy and Social Work, University of York, UK. John Hudson: john.hudson@york.ac.uk.
** Department of Social Welfare, SungKongHoe University, South Korea. Nam K. Jo: namk.jo@skhu.ac.kr
*** Department of Social Policy and Social Work, University of York, UK. Antonia Keung: antonia.keung@york.ac.uk.
Analysis of a Planetary Scale Scientific Collaboration Dataset Reveals Novel ...Soumya Banerjee
This article looks at a scientific collaboration network mined from the Mendeley database and finds novel patterns and clusters in the
data that may reflect past foreign policies and contemporary geopolitics. It gives insights into how scientific development of developing countries can be guided.
Putting Children First: Session 2.2.C Ilze Plavgo - Inequality in education i...The Impact Initiative
Putting Children First: Identifying solutions and taking action to tackle poverty and inequality in Africa.
Addis Ababa, Ethiopia, 23-25 October 2017
This three-day international conference aimed to engage policy makers, practitioners and researchers in identifying solutions for fighting child poverty and inequality in Africa, and in inspiring action towards change. The conference offered a platform for bridging divides across sectors, disciplines and policy, practice and research.
Does the Cultural Context Really Shape Welfare? A Comparative Analysis - pape...University of York
Does the Cultural Context Really Shape Welfare? A Comparative Analysis
Presented to UK Social Policy Association Annual Conference 2013, Sheffield, July 9th
John Hudson*, Nam K. Jo* and Antonia Keung***
Abstract
Despite increasing attention recently paid to the role of culture within comparative welfare studies, empirical explorations of the impact of culture on social policy remain rare. One recent exception is Jo’s (2011) analysis of on an in-between level conception of culture based on the exploration of stable societal values using quantitative cross-national surveys of social values in high-income nations. In this paper we update and expand this framework by adding data from the most recent releases of the European Values Study and World Values Survey and by exploring a wider range of policy areas. In so doing, we address the underlining theoretical question of whether the cultural context really shapes welfare policies and conclude that there is strong evidence to support the ‘culture matters’ thesis.
Acknowledgements
This research is supported by ESRC award ES/J00460X/1
Author Contact Details
* Department of Social Policy and Social Work, University of York, UK. John Hudson: john.hudson@york.ac.uk.
** Department of Social Welfare, SungKongHoe University, South Korea. Nam K. Jo: namk.jo@skhu.ac.kr
*** Department of Social Policy and Social Work, University of York, UK. Antonia Keung: antonia.keung@york.ac.uk.
Analysis of a Planetary Scale Scientific Collaboration Dataset Reveals Novel ...Soumya Banerjee
This article looks at a scientific collaboration network mined from the Mendeley database and finds novel patterns and clusters in the
data that may reflect past foreign policies and contemporary geopolitics. It gives insights into how scientific development of developing countries can be guided.
Putting Children First: Session 2.2.C Ilze Plavgo - Inequality in education i...The Impact Initiative
Putting Children First: Identifying solutions and taking action to tackle poverty and inequality in Africa.
Addis Ababa, Ethiopia, 23-25 October 2017
This three-day international conference aimed to engage policy makers, practitioners and researchers in identifying solutions for fighting child poverty and inequality in Africa, and in inspiring action towards change. The conference offered a platform for bridging divides across sectors, disciplines and policy, practice and research.
What's the story?
This isn't a tale to be proud of. In the UK, the link between low socio-economic background and poor educational attainment is greater than in almost any other developed country. Nearly 50% of children claiming free school meals achieve no GCSE passes above a D grade (Cassen and Kingdon)
Educational-related inequalities have an impact throughout a child’s life. Education is linked with happiness and wellbeing and also mental and physical health and life expectancy. The more you learn, the more you earn. You are more at risk of spending time ‘not in education, employment or training’ if you have no qualifications.
Education matters to society – it is linked to crime rates and to the economy.
What's our story?
It doesn’t have to be that way. Demography doesn’t have to be destiny. This attainment gap so entrenched in our society is not inevitable. Change is possible.
At Teach First we are working in partnership with others to ensure that no child’s educational success is limited by their socio-economic background. We believe that the scale of change needed will only be achieved through the collective effort of leaders in classrooms, in schools and throughout society. Each must challenge and change the status quo child by child, classroom by classroom, school by school, community by community until educational disadvantage becomes a work of fiction, not fact.
We start by recruiting people with the potential to be inspirational teachers who embark on a rigorous two-year Leadership Development Programme. Through this they develop their teaching and leadership skills needed to raise the achievement, aspiration and access to opportunities of pupils from low-income communities. Beyond this they are motivated to tackle educational disadvantage in the long term as Teach First ambassadors.
What's your story?
Teach First cannot solve this problem alone. We work with individuals, schools, universities and businesses to achieve our aims. You too can play your role in creating a happy end to this story.
http://www.teachfirst.org.uk/tellingthestory
Family matters: The economics of the family and human capital in the United ...IPPR
What has happened to US families in terms of income and hours of paid employment?
What we know from the literature about how these trends affect human capital for development of human capital?
What do this all mean for policymakers?
By Heather Boushey, of the Center for American Progress (Washington DC) and IPPR (London).
Presentación expuesta durante el III Workshop Internacional sobre Equidad en la Educación Superior organizado por la Cátedra UNESCO de Inclusión en la Ed. Superior (Santiago de Chile, 6 noviembre 2010)
What does EdChoice do? Get a quick introduction to our organization, who we are and what we do in this Slideshare. Want to browse our research and more? Visit www.edchoice.org.
The Division of Student Life at the University of Tennessee, Knoxville welcomed Kevin Kruger, president and CEO for NASPA – Student Affairs Administrators in Higher Education on February 11. Kruger spoke during the 2019 Southeast Chief Student Affairs Officers (SECSAO) annual meeting on February 10-12, 2019.
Kevin Kruger, Ph.D. draws on more than 35 years of experience in higher education. As NASPA president, Dr. Kruger represents student affairs at a variety of national forums and is a frequent contributor to higher education news stories on the college student experience.
Education and Economic Growth in Uganda: A cointegration approachPremier Publishers
This study examines the impact of the quantity of education on economic growth using gross enrolment ratio of primary, secondary and tertiary education as a proxy for the quantity of education. The annual data over the period 1985 to 2017 was used. Unit root tests, cointegration and causality tests were conducted following the Johansen and Juselius cointegration approach. The results indicate that the higher the education level attained the more likely the contribution to Uganda’s economic growth. The study variables were found to be integrated of order one using the ADF test for unit root. The long run causality test detected the existence of long run causality at all levels of education with GDP. The paper contributes to the ongoing debate as to whether education contributes to economic growth, and if it does which level is likely to contribute more to a country’s growth and under what conditions. The paper recommends the need for policy makers to provide an enriched curriculum that trains learners to be creative and productive right from primary education. The government is urged to increase the budget allocation to education as a percentage of GDP to at least 5.4% to ensure acquisition of the necessary education infrastructure to promote quality education.
Assignment Task PART 2Read a selection of your colleagues’ pos.docxrobert345678
Assignment Task PART 2
Read a selection of your colleagues’ posts.
Respond to at least two or more of your colleagues in any of the following ways in a 150 word response each:
· Explain an additional target area that would apply to both your and a colleague’s program or specialization.
· Offer additional support or a reference to the data to support your colleague’s target area(s).
Katheryn Gonzales
Data collection can have a significant impact on making educational and social changes for a community. According to Gonzalez-Sancho & Vincent-Lancrin (2016), longitudinal data systems incorporating administrative records, learning management platforms, and analysis and reporting tools provide significant feedback to stakeholders and diagnostic tools to help create system change. The need for longitudinal data comes from the fragmented approach of data collection that makes it difficult for policymakers, school districts, and all stakeholders to analyze and utilize data that regularly comes from educational institutions.
Grand City has collected data over time and from many different platforms, including demographics, graduation rates, test results, family information, occupational information, educational information, and early childhood educational data. Using this data, the Grand City Task Force can look for trends, compare data, and aggregate data from many sources to address different areas of concern and questions presented to the task force (Gonzalez-Sancho & Vincent-Lancrin, 2016).
Based on my specialization, Early Childhood Education, I find that three areas that need improvement include: increasing the amount of children ages three to five years old who attend preschool, increasing the amount of subsidized preschool and daycare, and working with the community outreach center to advance early literacy to improve overall K-12 English Language Arts test scores.
The first area that needs improvement is increasing the number of incoming kindergarten students attending preschool. The current data from Grand City shows that only 43% of incoming kindergarten students have participated in preschool (Walden University, 2016b). Research suggests that phonological awareness at the preschool level is a predictor of early learning success (Callaghan & Medelaine, 2012). Students who lack quality literacy instruction are at risk for future academic struggles.
Grand City data indicates a low level of students who meet the academic benchmark in English Language Arts test scores. 3rd – 5th-grade students scored as meeting or exceeding the benchmark at 25.7%. The percentage of students who scored as meeting or exceeding the standard in grades 6th – 8th dropped to 19.7%, and the rate of 11th-grade students scoring as meeting or exceeding the benchmark dropped even further to 13.5% (Walden University, 2016b). To begin to make a positive change, the Early Childhood Center and the Early Childhood Program Association will need to work with Grand City’s Community.
Leopoldo Laborda Castillo, Daniel Sotelsek Salem & Leopold Remi Sarr (2014)
The Effect of Poverty, Gender Exclusion, and Child Labor on Out-of-School Rates for Female Children,
Journal of Research in Childhood Education, 28:2, 162-181
Seminar: Gender Board Diversity through Ownership NetworksGRAPE
Seminar on gender diversity spillovers through ownership networks at FAME|GRAPE. Presenting novel research. Studies in economics and management using econometrics methods.
The European Unemployment Puzzle: implications from population agingGRAPE
We study the link between the evolving age structure of the working population and unemployment. We build a large new Keynesian OLG model with a realistic age structure, labor market frictions, sticky prices, and aggregate shocks. Once calibrated to the European economy, we quantify the extent to which demographic changes over the last three decades have contributed to the decline of the unemployment rate. Our findings yield important implications for the future evolution of unemployment given the anticipated further aging of the working population in Europe. We also quantify the implications for optimal monetary policy: lowering inflation volatility becomes less costly in terms of GDP and unemployment volatility, which hints that optimal monetary policy may be more hawkish in an aging society. Finally, our results also propose a partial reversal of the European-US unemployment puzzle due to the fact that the share of young workers is expected to remain robust in the US.
What's the story?
This isn't a tale to be proud of. In the UK, the link between low socio-economic background and poor educational attainment is greater than in almost any other developed country. Nearly 50% of children claiming free school meals achieve no GCSE passes above a D grade (Cassen and Kingdon)
Educational-related inequalities have an impact throughout a child’s life. Education is linked with happiness and wellbeing and also mental and physical health and life expectancy. The more you learn, the more you earn. You are more at risk of spending time ‘not in education, employment or training’ if you have no qualifications.
Education matters to society – it is linked to crime rates and to the economy.
What's our story?
It doesn’t have to be that way. Demography doesn’t have to be destiny. This attainment gap so entrenched in our society is not inevitable. Change is possible.
At Teach First we are working in partnership with others to ensure that no child’s educational success is limited by their socio-economic background. We believe that the scale of change needed will only be achieved through the collective effort of leaders in classrooms, in schools and throughout society. Each must challenge and change the status quo child by child, classroom by classroom, school by school, community by community until educational disadvantage becomes a work of fiction, not fact.
We start by recruiting people with the potential to be inspirational teachers who embark on a rigorous two-year Leadership Development Programme. Through this they develop their teaching and leadership skills needed to raise the achievement, aspiration and access to opportunities of pupils from low-income communities. Beyond this they are motivated to tackle educational disadvantage in the long term as Teach First ambassadors.
What's your story?
Teach First cannot solve this problem alone. We work with individuals, schools, universities and businesses to achieve our aims. You too can play your role in creating a happy end to this story.
http://www.teachfirst.org.uk/tellingthestory
Family matters: The economics of the family and human capital in the United ...IPPR
What has happened to US families in terms of income and hours of paid employment?
What we know from the literature about how these trends affect human capital for development of human capital?
What do this all mean for policymakers?
By Heather Boushey, of the Center for American Progress (Washington DC) and IPPR (London).
Presentación expuesta durante el III Workshop Internacional sobre Equidad en la Educación Superior organizado por la Cátedra UNESCO de Inclusión en la Ed. Superior (Santiago de Chile, 6 noviembre 2010)
What does EdChoice do? Get a quick introduction to our organization, who we are and what we do in this Slideshare. Want to browse our research and more? Visit www.edchoice.org.
The Division of Student Life at the University of Tennessee, Knoxville welcomed Kevin Kruger, president and CEO for NASPA – Student Affairs Administrators in Higher Education on February 11. Kruger spoke during the 2019 Southeast Chief Student Affairs Officers (SECSAO) annual meeting on February 10-12, 2019.
Kevin Kruger, Ph.D. draws on more than 35 years of experience in higher education. As NASPA president, Dr. Kruger represents student affairs at a variety of national forums and is a frequent contributor to higher education news stories on the college student experience.
Education and Economic Growth in Uganda: A cointegration approachPremier Publishers
This study examines the impact of the quantity of education on economic growth using gross enrolment ratio of primary, secondary and tertiary education as a proxy for the quantity of education. The annual data over the period 1985 to 2017 was used. Unit root tests, cointegration and causality tests were conducted following the Johansen and Juselius cointegration approach. The results indicate that the higher the education level attained the more likely the contribution to Uganda’s economic growth. The study variables were found to be integrated of order one using the ADF test for unit root. The long run causality test detected the existence of long run causality at all levels of education with GDP. The paper contributes to the ongoing debate as to whether education contributes to economic growth, and if it does which level is likely to contribute more to a country’s growth and under what conditions. The paper recommends the need for policy makers to provide an enriched curriculum that trains learners to be creative and productive right from primary education. The government is urged to increase the budget allocation to education as a percentage of GDP to at least 5.4% to ensure acquisition of the necessary education infrastructure to promote quality education.
Assignment Task PART 2Read a selection of your colleagues’ pos.docxrobert345678
Assignment Task PART 2
Read a selection of your colleagues’ posts.
Respond to at least two or more of your colleagues in any of the following ways in a 150 word response each:
· Explain an additional target area that would apply to both your and a colleague’s program or specialization.
· Offer additional support or a reference to the data to support your colleague’s target area(s).
Katheryn Gonzales
Data collection can have a significant impact on making educational and social changes for a community. According to Gonzalez-Sancho & Vincent-Lancrin (2016), longitudinal data systems incorporating administrative records, learning management platforms, and analysis and reporting tools provide significant feedback to stakeholders and diagnostic tools to help create system change. The need for longitudinal data comes from the fragmented approach of data collection that makes it difficult for policymakers, school districts, and all stakeholders to analyze and utilize data that regularly comes from educational institutions.
Grand City has collected data over time and from many different platforms, including demographics, graduation rates, test results, family information, occupational information, educational information, and early childhood educational data. Using this data, the Grand City Task Force can look for trends, compare data, and aggregate data from many sources to address different areas of concern and questions presented to the task force (Gonzalez-Sancho & Vincent-Lancrin, 2016).
Based on my specialization, Early Childhood Education, I find that three areas that need improvement include: increasing the amount of children ages three to five years old who attend preschool, increasing the amount of subsidized preschool and daycare, and working with the community outreach center to advance early literacy to improve overall K-12 English Language Arts test scores.
The first area that needs improvement is increasing the number of incoming kindergarten students attending preschool. The current data from Grand City shows that only 43% of incoming kindergarten students have participated in preschool (Walden University, 2016b). Research suggests that phonological awareness at the preschool level is a predictor of early learning success (Callaghan & Medelaine, 2012). Students who lack quality literacy instruction are at risk for future academic struggles.
Grand City data indicates a low level of students who meet the academic benchmark in English Language Arts test scores. 3rd – 5th-grade students scored as meeting or exceeding the benchmark at 25.7%. The percentage of students who scored as meeting or exceeding the standard in grades 6th – 8th dropped to 19.7%, and the rate of 11th-grade students scoring as meeting or exceeding the benchmark dropped even further to 13.5% (Walden University, 2016b). To begin to make a positive change, the Early Childhood Center and the Early Childhood Program Association will need to work with Grand City’s Community.
Leopoldo Laborda Castillo, Daniel Sotelsek Salem & Leopold Remi Sarr (2014)
The Effect of Poverty, Gender Exclusion, and Child Labor on Out-of-School Rates for Female Children,
Journal of Research in Childhood Education, 28:2, 162-181
Seminar: Gender Board Diversity through Ownership NetworksGRAPE
Seminar on gender diversity spillovers through ownership networks at FAME|GRAPE. Presenting novel research. Studies in economics and management using econometrics methods.
The European Unemployment Puzzle: implications from population agingGRAPE
We study the link between the evolving age structure of the working population and unemployment. We build a large new Keynesian OLG model with a realistic age structure, labor market frictions, sticky prices, and aggregate shocks. Once calibrated to the European economy, we quantify the extent to which demographic changes over the last three decades have contributed to the decline of the unemployment rate. Our findings yield important implications for the future evolution of unemployment given the anticipated further aging of the working population in Europe. We also quantify the implications for optimal monetary policy: lowering inflation volatility becomes less costly in terms of GDP and unemployment volatility, which hints that optimal monetary policy may be more hawkish in an aging society. Finally, our results also propose a partial reversal of the European-US unemployment puzzle due to the fact that the share of young workers is expected to remain robust in the US.
Revisiting gender board diversity and firm performanceGRAPE
Cel: oszacować wpływ inkluzywności władz spółek na ich wyniki.
Co wiemy?
• Większość firm nie ma równosci płci w organach (ILO, 2015)
• Większość firm nie ma w ogóle kobiet we władzach
Demographic transition and the rise of wealth inequalityGRAPE
We study the contribution of rising longevity to the rise of wealth inequality in the U.S. over the last seventy years. We construct an OLG model with multiple sources of inequality, closely calibrated to the data. Our main finding is that improvements in old-age longevity explain about 30% of the observed rise in wealth inequality. This magnitude is similar to previously emphasized channels associated with income inequality and the tax system. The contribution of demographics is bound to raise wealth inequality further in the decades to come.
(Gender) tone at the top: the effect of board diversity on gender inequalityGRAPE
The research explores to what extent the presence of women on board affects gender inequality downstream. We find that increasing presence reduces gender inequality. To avoid reverse causality, we propose a new instrument: the share of household consumption in total output. We extend the analysis to recover the effect of a single woman on board (tokenism(
Gender board diversity spillovers and the public eyeGRAPE
A range of policy recommendations mandating gender board quotas is based on the idea that "women help women". We analyze potential gender diversity spillovers from supervisory to top managerial positions over three decades in Europe. Contrary to previous studies which worked with stock listed firms or were region locked, we use a large data base of roughly 2 000 000 firms. We find evidence that women do not help women in corporate Europe, unless the firm is stock listed. Only within public firms, going from no woman to at least one woman on supervisory position is associated with a 10-15% higher probability of appointing at least one woman to the executive position. This pattern aligns with various managerial theories, suggesting that external visibility influences corporate gender diversity practices. The study implies that diversity policies, while impactful in public firms, have limited
effectiveness in promoting gender diversity in corporate Europe.
Tone at the top: the effects of gender board diversity on gender wage inequal...GRAPE
We address the gender wage gap in Europe, focusing on the impact of female representation in executive and non-executive boards. We use a novel dataset to identify gender board diversity across European firms, which covers a comprehensive sample of private firms in addition to publicly listed ones. Our study spans three waves of the Structure of Earnings Survey, covering 26 countries and multiple industries. Despite low prevalence of female representation and the complex nature of gender wage inequality, our findings reveal a robust causal link: increased gender diversity significantly decreases the adjusted gender wage gap. We also demonstrate that to meaningfully impact gender wage gaps, the presence of a single female representative in leadership is insufficient.
Gender board diversity spillovers and the public eyeGRAPE
A range of policy recommendations mandating gender board quotas is based on the idea that "women help women". We analyze potential gender diversity spillovers from supervisory to top managerial positions over three decades in Europe. Contrary to previous studies which worked with stock listed firms or were region locked, we use a large data base of roughly 2 000 000 firms. We find evidence that women do not help women in corporate Europe, unless the firm is stock listed. Only within public firms, going from no woman to at least one woman on supervisory position is associated with a 10-15\% higher probability of appointing at least one woman to the executive position. This pattern aligns with the Public Eye Managerial Theory, suggesting that external visibility influences corporate gender diversity practices. The study implies that diversity policies, while impactful in public firms, have limited effectiveness in promoting gender diversity in corporate Europe.
The European Unemployment Puzzle: implications from population agingGRAPE
We study the link between the evolving age structure of the working population and unemployment. We build a large New Keynesian OLG model with a realistic age structure, labor market frictions, sticky prices, and aggregate shocks. Once calibrated to the European economies, we use this model to provide comparative statics across past and contemporaneous age structures of the working population. Thus, we quantify the extent to which the response of labor markets to adverse TFP shocks and monetary policy shocks becomes muted with the aging of the working population. Our findings have important policy implications for European labor markets and beyond. For example, the working population is expected to further age in Europe, whereas the share of young workers will remain robust in the US. Our results suggest a partial reversal of the European-US unemployment puzzle. Furthermore, with the aging population, lowering inflation volatility is less costly in terms of higher unemployment volatility. It suggests that optimal monetary policy should be more hawkish in the older society.
Evidence concerning inequality in ability to realize aspirations is prevalent: overall, in specialized segments of the labor market, in self-employment and high-aspirations environments. Empirical literature and public debate are full of case studies and comprehensive empirical studies documenting the paramount gap between successful individuals (typically ethnic majority men) and those who are less likely to “make it” (typically ethnic minority and women). So far the drivers of these disparities and their consequences have been studied much less intensively, due to methodological constraints and shortage of appropriate data. This project proposes significant innovations to overcome both types of barriers and push the frontier of the research agenda on equality in reaching aspirations.
Overall, project is interdisciplinary, combining four fields: management, economics, quantitative methods and psychology. An important feature of this project is that it offers a diversified methodological perspective, combining applied microeconometrics, as well as experimental methods.
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
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.
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.
Currently pi network is not tradable on binance or any other exchange because we are still in the enclosed mainnet.
Right now the only way to sell pi coins is by trading with a verified merchant.
What is a pi merchant?
A pi merchant is someone verified by pi network team and allowed to barter pi coins for goods and services.
Since pi network is not doing any pre-sale The only way exchanges like binance/huobi or crypto whales can get pi is by buying from miners. And a merchant stands in between the exchanges and the miners.
I will leave the telegram contact of my personal pi merchant. I and my friends has traded more than 6000pi coins successfully
Tele-gram
@Pi_vendor_247
what is the best method to sell pi coins in 2024DOT TECH
The best way to sell your pi coins safely is trading with an exchange..but since pi is not launched in any exchange, and second option is through a VERIFIED pi merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and pioneers and resell them to Investors looking forward to hold massive amounts before mainnet launch in 2026.
I will leave the telegram contact of my personal pi merchant to trade pi coins with.
@Pi_vendor_247
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.
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 sell pi coins effectively (from 50 - 100k pi)DOT TECH
Anywhere in the world, including Africa, America, and Europe, you can sell Pi Network Coins online and receive cash through online payment options.
Pi has not yet been launched on any exchange because we are currently using the confined Mainnet. The planned launch date for Pi is June 28, 2026.
Reselling to investors who want to hold until the mainnet launch in 2026 is currently the sole way to sell.
Consequently, right now. All you need to do is select the right pi network provider.
Who is a pi merchant?
An individual who buys coins from miners on the pi network and resells them to investors hoping to hang onto them until the mainnet is launched is known as a pi merchant.
debuts.
I'll provide you the Telegram username
@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.
BYD SWOT Analysis and In-Depth Insights 2024.pptxmikemetalprod
Indepth analysis of the BYD 2024
BYD (Build Your Dreams) is a Chinese automaker and battery manufacturer that has snowballed over the past two decades to become a significant player in electric vehicles and global clean energy technology.
This SWOT analysis examines BYD's strengths, weaknesses, opportunities, and threats as it competes in the fast-changing automotive and energy storage industries.
Founded in 1995 and headquartered in Shenzhen, BYD started as a battery company before expanding into automobiles in the early 2000s.
Initially manufacturing gasoline-powered vehicles, BYD focused on plug-in hybrid and fully electric vehicles, leveraging its expertise in battery technology.
Today, BYD is the world’s largest electric vehicle manufacturer, delivering over 1.2 million electric cars globally. The company also produces electric buses, trucks, forklifts, and rail transit.
On the energy side, BYD is a major supplier of rechargeable batteries for cell phones, laptops, electric vehicles, and energy storage systems.
how to sell pi coins on Bitmart crypto exchangeDOT TECH
Yes. Pi network coins can be exchanged but not on bitmart exchange. Because pi network is still in the enclosed mainnet. The only way pioneers are able to trade pi coins is by reselling the pi coins to pi verified merchants.
A verified merchant is someone who buys pi network coins and resell it to exchanges looking forward to hold till mainnet launch.
I will leave the telegram contact of my personal pi merchant to trade with.
@Pi_vendor_247
Introduction to Indian Financial System ()Avanish Goel
The financial system of a country is an important tool for economic development of the country, as it helps in creation of wealth by linking savings with investments.
It facilitates the flow of funds form the households (savers) to business firms (investors) to aid in wealth creation and development of both the parties
What website can I sell pi coins securely.DOT TECH
Currently there are no website or exchange that allow buying or selling of pi coins..
But you can still easily sell pi coins, by reselling it to exchanges/crypto whales interested in holding thousands of pi coins before the mainnet launch.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and resell to these crypto whales and holders of pi..
This is because pi network is not doing any pre-sale. The only way exchanges can get pi is by buying from miners and pi merchants stands in between the miners and the exchanges.
How can I sell my pi coins?
Selling pi coins is really easy, but first you need to migrate to mainnet wallet before you can do that. I will leave the telegram contact of my personal pi merchant to trade with.
Tele-gram.
@Pi_vendor_247
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
how to sell pi coins at high rate quickly.DOT TECH
Where can I sell my pi coins at a high rate.
Pi is not launched yet on any exchange. But one can easily sell his or her pi coins to investors who want to hold pi till mainnet launch.
This means crypto whales want to hold pi. And you can get a good rate for selling pi to them. I will leave the telegram contact of my personal pi vendor below.
A vendor is someone who buys from a miner and resell it to a holder or crypto whale.
Here is the telegram contact of my vendor:
@Pi_vendor_247
how to sell pi coins in South Korea profitably.DOT TECH
Yes. You can sell your pi network coins in South Korea or any other country, by finding a verified pi merchant
What is a verified pi merchant?
Since pi network is not launched yet on any exchange, the only way you can sell pi coins is by selling to a verified pi merchant, and this is because pi network is not launched yet on any exchange and no pre-sale or ico offerings Is done on pi.
Since there is no pre-sale, the only way exchanges can get pi is by buying from miners. So a pi merchant facilitates these transactions by acting as a bridge for both transactions.
How can i find a pi vendor/merchant?
Well for those who haven't traded with a pi merchant or who don't already have one. I will leave the telegram id of my personal pi merchant who i trade pi with.
Tele gram: @Pi_vendor_247
#pi #sell #nigeria #pinetwork #picoins #sellpi #Nigerian #tradepi #pinetworkcoins #sellmypi
1. Paid or free tertiary education?
Investment in human capital and the role of family
Sylwia Radomska
GRAPE, University of Warsaw
2. Motivation
2
Source: W Lutz, A Goujon, S K.C., W Sanderson. Reconstruction of population by age, sex and level of educational
attainment of 120 countries for 1970-2000. Vienna Yearbook of Population Research, vol. 2007
0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
France Germany Japan Poland Republic of Korea United Kingdom United States of
America
1970
1975
1980
1985
1990
1995
2000
2005
2010
2015
2020
2025
2030
2035
2040
2045
2050
Young people (age 25-30) with higher education
3. Motivation
o Education is a public/merit good: prone to inefficiencies:
o Externalities
o Imperfet informations about future benefits
o ”Einsteins lost”
o Overinvestment in people with low ability
o Investment in human capital important for economy
o Macroeconomic perspective
o Education -> labor productivity -> income & output
o Increase GDP, technology progress
o Microeconomic perspective
o Earnings, status
3
4. Family funding vs. Public funding
4
Source: OECD (2020), Spending on tertiary education (indicator)
0
10
20
30
40
50
60
70
80
90
HH PUB HH PUB HH PUB
DEU POL USA
2000
2005
2008
2009
2010
2011
2012
2013
2014
2015
2016
5. Research question
How to finance the investment in human capital in an optimal and
socially (politically) acceptable way?
5
o Laissez-faire (US)
o Student credit defaults: 6% of GDP!
Alternatives to consider
o Education subsidy (Europe)
o All citizens pay, a small fraction benefits
Benabou, 2002; Krueger & Ludwig, 2016, Koeniger & Prat, 2018
o Smoothing the cost of financing (USA)
o Helps to accommodate e.g. job loss
Bobo & Trannoy, 2015; Findeisen & Sachs, 2016; Stancheva, 2017
6. Implications for MACRO – state of the art
6
smoothing the cost of financing + education subsidies
Authors Life cycle model Dynasties OLG Shocks Heterogeneity
Bobo &
Trannoy
Findeisen &
Sachs
Stancheva
Benabou
Bovenberg &
Jacobs
Kruger &
Ludwig
Koeniger &
Prat
7. How parents influence teenangers’ college decisions?
7
Source: Data The High School Longitudinal Study Of 2009 (HSLS:09)
8. How parents influence teenangers’ college decisions?
8
Source: Data The High School Longitudinal Study Of 2009 (HSLS:09)
9. How parents influence teenangers’ college decisions?
9
Source: Data The High School Longitudinal Study Of 2009 (HSLS:09)
10. How parents influence teenangers’ college decisions?
10
Source: Data The High School Longitudinal Study Of 2009 (HSLS:09)
11. Methodology – introduction of family in OLG
11
o Overlapping generations model (OLG) with
o ex ante heterogenous agents - differ in their abilities 𝜃
o family structure (parents may invest into the schooling of their
children and derive utility from the human capital of their children)
max 𝑙𝑛𝑐𝑡
𝑚
+ 𝜙 ln 1 − 𝑙 𝑡
𝑚
+ 𝝑𝒍𝒏𝒉 𝒕+𝟏
.
s.to. 𝑐𝑡
𝑚
+ 𝒆 𝒕 = (𝟏 − 𝜏)𝑤𝑡(𝜃𝑖,𝑡, ℎ𝑖,𝑡)𝑙 𝑡
𝑚
ℎ 𝑡+1 = (𝜃 + 𝑋𝑡 + 𝑏𝒆 𝒕) 𝜂
𝒉𝒕
𝝉 തℎ 𝑡
𝜅
(human capital accumulation)
12. Preliminary outcomes
Both higher public expenditures and parents altruisitc
motive increase the aggregated level of human capital
in society.
12
14. Summary
o Investment in human capital important from microeconomic and
macroeconomic perspective
o Parents influence the childrens’ college decisions
o Government intervension – the solution for market failures?
14
15. Bibliography
15
o Scott-Clayton, J. (2018). The Looming Student Loan Default Crisis Is Worse than We Thought. Evidence
Speaks Reports, Vol 2,# 34. Center on Children and Families at Brookings
o Mirrlees, J. A. (1971). An exploration in the theory of optimum income taxation. The review of economic
studies, 38(2), 175-208.
o Mirrlees, J. A. (1976). The optimal structure of incentives and authority within an organization. The Bell
Journal of Economics, 105-131.
o Mirrlees, J. A. (1986). The theory of optimal taxation. Handbook of mathematical economics, 3, 1197-
1249.
o Kocherlakota, N. R. (2010). The new dynamic public finance. Princeton University Press.
o Friedman, M. (1955). The role of government in education. In Economics and the Public Interest (pp.
123-144). New Brunswick, NJ: Rutgers University Press
o Findeisen, S., & Sachs, D. (2016). Education and optimal dynamic taxation: The role of income-
contingent student loans. Journal of Public Economics, 138, 1-21.
o Stantcheva, S. (2017). Optimal taxation and human capital policies over the life cycle. Journal of Political
Economy, 125(6), 1931-1990.
o Koeniger, W., & Prat, J. (2018).Human capital and optimal redistribution. Review of Economic Dynamics,
27, 1-26.
o Benabou, R. (2002). Tax and education policy in a heterogeneous‐agent economy: What levels of
redistribution maximize growth and efficiency? Econometrica, 70(2), 481-517.
o Krueger, D., & Ludwig, A. (2016). On the optimal provision of social insurance: Progressive taxation
versus education subsidies in general equilibrium. Journal of Monetary Economics, 77, 72-98.