Presentation by: Piotr Paradowski (Cross-National Data Center in Luxembourg)
OECD Conference on wealth inequalities: Measurement and policies
Paris, 26 April 2018.
This document summarizes economic and demographic trends in Teton County, Idaho. It finds that while the county grew faster than the state from 2010-2015, its population is aging more rapidly. The largest industries are accommodation/food, government, and construction, though health care and professional services are projected to see the most growth. To attract more workers, the document recommends focusing on amenities, infrastructure like broadband access, and developing talent pipelines within the community.
This document discusses economic development in Lemhi County, Idaho. It provides data on the county's current economic situation, including employment levels, wages, and industry composition. It then analyzes projections for future population and job growth in the county through 2025. The document concludes by outlining factors that influence economic development across regions and policies the county could adopt to attract more workers and businesses.
This document summarizes the 2015 Economic Report for Faulkner County. It provides statistics on employment, wages, sales tax receipts, property values, housing permits, banking, retail sales, tourism and more. Overall, Faulkner County saw increases in population, sales, tourism and jobs from 2014 to 2015 while experiencing declines in property tax assessments, natural gas production and crop income.
Saving Behaviour, Expectations and Future Financial HardshipEesti Pank
The document discusses research investigating how saving behaviors, including the amount saved and likelihood of saving, have changed over time in the UK. It uses data from the British Household Panel Survey and Understanding Society survey to analyze factors influencing individual saving rates among employed individuals aged 25-59 from 1991-2013/14. The research finds that financial optimism and income level impact the probability and amount of monthly saving, with those with lower incomes or who are not financially optimistic being less likely to save larger amounts.
Caterpillar Inc. is a manufacturer of construction and mining equipment. According to its financial statements from 2010:
- Revenue in 2010 was $42.6 billion, up from $32.4 billion in 2009.
- Net profit in 2010 was $2.76 billion, up from $827 million in 2009.
- Total assets in 2010 were $64.02 billion, up from $60.04 billion in 2009. Total liabilities were $52.7 billion in 2010.
OECD_Treatment of Multilateral Climate Related Flows and Consolidated Review ...AnnaDrutschinin
The document summarizes discussions from a meeting of experts on tracking climate finance provided through multilateral development banks and other organizations. Key points discussed include:
1) Several major multilateral development banks have not yet started reporting climate finance data to the OECD, complicating efforts to track total climate finance amounts.
2) A methodology was proposed to calculate coefficients for the share of various organizations' funding going to climate activities, to estimate members' imputed multilateral climate contributions.
3) A review of additional "green" funds identified over 100 that may provide climate-related finance. Priorities were established for improving tracking of contributions to top funds based on importance and availability of data.
This document summarizes economic and demographic trends in Teton County, Idaho. It finds that while the county grew faster than the state from 2010-2015, its population is aging more rapidly. The largest industries are accommodation/food, government, and construction, though health care and professional services are projected to see the most growth. To attract more workers, the document recommends focusing on amenities, infrastructure like broadband access, and developing talent pipelines within the community.
This document discusses economic development in Lemhi County, Idaho. It provides data on the county's current economic situation, including employment levels, wages, and industry composition. It then analyzes projections for future population and job growth in the county through 2025. The document concludes by outlining factors that influence economic development across regions and policies the county could adopt to attract more workers and businesses.
This document summarizes the 2015 Economic Report for Faulkner County. It provides statistics on employment, wages, sales tax receipts, property values, housing permits, banking, retail sales, tourism and more. Overall, Faulkner County saw increases in population, sales, tourism and jobs from 2014 to 2015 while experiencing declines in property tax assessments, natural gas production and crop income.
Saving Behaviour, Expectations and Future Financial HardshipEesti Pank
The document discusses research investigating how saving behaviors, including the amount saved and likelihood of saving, have changed over time in the UK. It uses data from the British Household Panel Survey and Understanding Society survey to analyze factors influencing individual saving rates among employed individuals aged 25-59 from 1991-2013/14. The research finds that financial optimism and income level impact the probability and amount of monthly saving, with those with lower incomes or who are not financially optimistic being less likely to save larger amounts.
Caterpillar Inc. is a manufacturer of construction and mining equipment. According to its financial statements from 2010:
- Revenue in 2010 was $42.6 billion, up from $32.4 billion in 2009.
- Net profit in 2010 was $2.76 billion, up from $827 million in 2009.
- Total assets in 2010 were $64.02 billion, up from $60.04 billion in 2009. Total liabilities were $52.7 billion in 2010.
OECD_Treatment of Multilateral Climate Related Flows and Consolidated Review ...AnnaDrutschinin
The document summarizes discussions from a meeting of experts on tracking climate finance provided through multilateral development banks and other organizations. Key points discussed include:
1) Several major multilateral development banks have not yet started reporting climate finance data to the OECD, complicating efforts to track total climate finance amounts.
2) A methodology was proposed to calculate coefficients for the share of various organizations' funding going to climate activities, to estimate members' imputed multilateral climate contributions.
3) A review of additional "green" funds identified over 100 that may provide climate-related finance. Priorities were established for improving tracking of contributions to top funds based on importance and availability of data.
OECD_Treatment of Multilateral Climate Related Flows and Consolidated Review ...AnnaDrutschinin
This is a presentation on the treatment of multilateral flows in OECD DAC statistics, a status report, and a summary of the review of multilateral funds within OECD DAC Statistics.
Trends Shaping Perth: Boom, Busts and BudgetsAmy Williams
Brian Haratsis, Executive Chairman - MacroPlan Dimasi, explores the impacts of the Federal budget on Western Australia and outlines what new opportunities are presented from the emergence of ‘mega’ trends.
McKinsey Global Institute's latest report shows how soaring flows of data and information now generate more economic value than the global goods trade. Here are the key charts and graphs that tell the story. For the full report, visit http://bit.ly/digiflows.
Nestle is a Swiss multinational food and beverage company. The document analyzes Nestle's cash flow for 2014 and 2015 based on its balance sheet and profit and loss statements. It finds that Nestle's operating cash flow decreased 8.48% from 2014 to 2015 while investing cash flow increased 2.10% and financing cash flow decreased 181.89%. The large decrease in financing cash flow was because Nestle paid off most of its unsecured loans during this period by selling assets, which is not ideal as it reduces assets. The document also notes Nestle faced reputation issues in 2015 due to a Maggi controversy.
Corporate Income Taxation and Firm EfficiencyGRAPE
This study tests empirically the hypothesis that corporate income taxes are neutral for firm efficiency. We exploit the fact that the tax definition of cost does not overlap fully with an accounting definition of cost and develop an instrument for taxation which relies on exogenous variation in this overlap. Our sample consists of firm-level data for roughly 20 million firms from over 40 countries over the period of two decades. We show that OLS estimates are strongly biased, yielding a positive correlation between taxation and output/efficiency. Accounting for the endogeneity via instrumenting yields robust negative estimates of the effects of taxation on firm output and efficiency. The results do not depend of firm characteristics, but are heterogeneous across countries: strong negative effects in some countries are accompanied by negligible or zero effects in others.
Corporate Income Taxation and Firm EfficiencyGRAPE
This study tests empirically the hypothesis that corporate income taxes are neutral for firm efficiency. We exploit the fact that the tax definition of cost does not overlap fully with an accounting definition of cost and develop an instrument for taxation which relies on exogenous variation in this overlap. Our sample consists of firm-level data for roughly 20 million firms from over 40 countries over the period of two decades. We show that OLS estimates are strongly biased, yielding a positive correlation between taxation and output/efficiency. Accounting for the endogeneity via instrumenting yields robust negative estimates of the effects of taxation on firm output and efficiency. The results do not depend of firm characteristics, but are heterogeneous across countries: strong negative effects in some countries are accompanied by negligible or zero effects in others.
BME Financial Results 4th. Quarter and year 2013BMEGroup
The document provides an overview of a company's business performance for the fourth quarter and full year of 2013. Key highlights include:
- Net profit increased 25% compared to Q4 2012 and 5.7% for the full year 2013.
- Revenues grew across most business areas, particularly in equity trading which saw a 45.4% increase in Q4 revenues.
- The company continues to maximize shareholder returns with proposed supplementary dividends of €0.65 per share.
So in summary, the company achieved strong financial results in Q4 and 2013 with increased revenues and profits across many business areas and continues its commitment to shareholder returns.
This document summarizes the evolution and current state of global pension systems. It discusses the rise of defined benefit (DB) pension schemes in the 20th century and their subsequent decline due to rising unfunded liabilities. More recently, defined contribution (DC) plans have grown in popularity as a way to pre-fund pensions and address issues with DB plans. However, pension coverage remains low in many developing countries. The document examines reforms like raising retirement ages and exploring social pensions or matching contributions to expand coverage to informal workers. Overall it presents an overview of pension trends over the last century and considerations for developing countries going forward.
RMB Morgan Stanley Big Five Investor Conference Presentation September 201871point4
The document discusses housing and household trends in South Africa based on census and survey data. Some key points:
- The number of households has grown significantly from 11.2 million in 2001 to 16.9 million in 2016, while the average household size has decreased.
- The number of households living in formal housing has increased by 5.7 million between 2001 and 2016 to 13.4 million.
- Housing makes up a large portion of household wealth in South Africa. However, SARB estimates of housing values may be understated.
- While many households live in formal structures, only 6.4 million properties are registered on the deeds registry, with most valued under R600,000.
William Tompson - What is regional development about and when does it work?GIZ Moldova
Regional development policy aims to address economic disparities between regions. It works through integrated regional strategies that focus on relatively immobile assets like infrastructure, human capital, innovation, and business environment. Good policy coordinates across sectors and governance levels to avoid unintended outcomes. It emphasizes competitiveness over temporary compensation. Regional funds are most effective when investments align with cross-sectoral growth strategies, rather than seen as substitutes for policy. Success requires a long-term vision at functional economic scales and participation of different actor levels.
Running Head The National Flood Insurance Program1The Natio.docxtoltonkendal
Running Head: The National Flood Insurance Program
1
The National Flood Insurance Program
3
The National Flood Insurance Program
Kevin Brown
American Public University
The National Flood Insurance Program (NFIP) was commenced voluntarily, which was set up in 1968 by Congress under the National Flood Insurance Act and was further supported by the Flood Insurance. NFIP was created because it can help make it affordable for homeowners or business
owners to pay for the damage to their property.
According to (Kiefer, 2013), I believe it is a good program at the federal level. It has contributed more than only paying individuals who have undergone damages as a result of floods. The NFIP is provided to a community the moment they want to contribute towards the flood reduction risk and the destruction caused by floods among the community members
. Within the communities impacted by floods and intended to provide insurance to their residents, they were required to establish different laws to control how the floodplains could have the potential to be developed.
The program was also established to address the raising taxpayer-funded costs of disaster relief and damage among victims of a flood. The NFIP program is meant to address issues that are affecting the long-term financial solvency; the report prepared by the program also has a number of approaches that can be used to manage and finance issues arising from the floods (Coppola, 2014). The program also describes unattended issues on legislation
. Some of the methods used to mitigate floods include elevation and relocation. In contrast, these strategies are impractical; thus, proofing of floods could just be the option
. From this point, flood proofing or construction of dwellings could not achieve federal standards. In addition, it is difficult for federal level emergency managers to overlook what is about to occur in local and state levels of government; therefore, in my personal opinion, the National Flood Insurance Program is not believed to be a good program at the federal level for emergency managers.
References
Haddow, G., Bullock, J. & Coppola, D. (2014). Introduction to emergency management. Waltham, MA: Butterworth-Heinemann, an imprint of Elsevier.
Jerolleman, A. & Kiefer, J. (2013). Natural hazard mitigation. Boca Raton: CRC Press
.
�Left justify
�What are you referring to?
�What is the definition of an “unattended legislative issue”?
�What does this mean?
�This paper is unclear. What is about to occur in local and state levels of government?
�Do not underline.
�I am extremely confused. These references are totally different from your citations.
StatementsWidgit Corporation's December 31 Balance SheetsAssets20122011Cash$ 72,000$ 65,000Accounts receivable439,000328,000Inventories894,000813,000 Total current assets$ 1,405,000$ 1,206,000Land and building238,000271,000Machinery132,000133,000Other fixed assets61,00057,000Total assets$ 1,836,000$ 1,667,000 ...
CIAT Asia is gathering to define its strategy and goals for the next 6 years. It will consider its past achievements, future priorities, and how to operationalize and fund its research goals. Goals and targets will be established based on socioeconomic indicators like poverty and hunger indexes. CIAT Asia will focus on 3 key development issues: livelihood improvement, land degradation, and climate change. It aims to define metrics and processes to monitor progress towards a potential funding goal of $12 million over the next 6 years.
HP is an American multinational information technology company founded by William Hewlett and David Packard. It provides hardware, software, and services to consumers, small and medium businesses, and large enterprises. The document includes HP's income statements from 2008 to 2014 which show trends in revenue, costs, expenses, profits, and other financial metrics over this period. It also compares some of HP's key financial ratios to IBM over the same time frame.
This document provides data on Mongolia's official development assistance from 2002-2014. It includes 14 pictures showing trends in total net ODA as a percentage of GNI and per capita, sources of funding by donor country, sectors funded, and progress toward achieving Millennium Development Goals. Key points include ODA increasing to over 10% of GNI in recent years, top donors being Japan, US, and Germany, and sectors funded including economic infrastructure, education, and health.
The current Bangladesh Economic Update reveals that fall in growth in collection of revenue, rising per capita debt burden and shrinking public sector investment may contract expansion of gross domestic product (GDP).
The financial audit of the City of Bangor for fiscal year 2014 received an unmodified opinion. The City reported no material weaknesses in internal controls. The presentation provides an overview of the City's general fund assets, liabilities, fund balance, revenues and expenditures for fiscal years 2012-2014. It also summarizes the financial results of the City's nonmajor and major enterprise funds over this period.
Effect on Different Economic Factors on NDP(National DomesticSubhodeep Mukherjee
The document discusses analyzing the effect of different economic factors on India's Net Domestic Product (NDP) over time. It outlines collecting annual data on factor incomes from 1980-2013 and representing the data in time series curves. Preliminary analysis found some factors like agriculture and manufacturing decreasing in impact while others like construction and services increased. The author proposes using time series techniques like ADF tests, ARMA/GARCH modeling to test for stationarity, fit appropriate models, check for volatility and predict future values of incomes and their impact on NDP. Notations are introduced for the different income variables to be analyzed.
Globally inclusive approaches to measurement_Shigehiro Oishi.pdfStatsCommunications
This document discusses measurement issues in comparing well-being and culture across countries. It covers 5 main issues: 1) Response styles may not fully explain differences in life satisfaction scores between countries. 2) Well-being items do not always function the same way across cultures, though lack of measurement equivalence only partly explains score differences. 3) Self-presentation and 4) judgmental/memory biases may also contribute to differences to a small-moderate degree. 5) The meaning and desirability of happiness differs across cultures, which can further impact scores. The document also advocates developing indigenous well-being measures that are meaningful within each local context.
Globally inclusive approaches to measurement_Erhabor Idemudia.pdfStatsCommunications
This document discusses considerations for developing quality of life measures from an African perspective. It notes that many existing QoL instruments were developed for Western populations and do not account for cultural differences. In Africa, concepts like happiness are more closely tied to collective well-being and social harmony rather than individualism. The document also outlines some key African beliefs, like Ubuntu, which emphasizes interconnectedness. It argues that QoL measures for Africa must assess both objective and subjective domains, and be grounded in cultural values like family, community, and spirituality rather than only Western individualistic norms. Developing culturally appropriate QoL measures is important for capturing well-being in a meaningful way.
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This is a presentation on the treatment of multilateral flows in OECD DAC statistics, a status report, and a summary of the review of multilateral funds within OECD DAC Statistics.
Trends Shaping Perth: Boom, Busts and BudgetsAmy Williams
Brian Haratsis, Executive Chairman - MacroPlan Dimasi, explores the impacts of the Federal budget on Western Australia and outlines what new opportunities are presented from the emergence of ‘mega’ trends.
McKinsey Global Institute's latest report shows how soaring flows of data and information now generate more economic value than the global goods trade. Here are the key charts and graphs that tell the story. For the full report, visit http://bit.ly/digiflows.
Nestle is a Swiss multinational food and beverage company. The document analyzes Nestle's cash flow for 2014 and 2015 based on its balance sheet and profit and loss statements. It finds that Nestle's operating cash flow decreased 8.48% from 2014 to 2015 while investing cash flow increased 2.10% and financing cash flow decreased 181.89%. The large decrease in financing cash flow was because Nestle paid off most of its unsecured loans during this period by selling assets, which is not ideal as it reduces assets. The document also notes Nestle faced reputation issues in 2015 due to a Maggi controversy.
Corporate Income Taxation and Firm EfficiencyGRAPE
This study tests empirically the hypothesis that corporate income taxes are neutral for firm efficiency. We exploit the fact that the tax definition of cost does not overlap fully with an accounting definition of cost and develop an instrument for taxation which relies on exogenous variation in this overlap. Our sample consists of firm-level data for roughly 20 million firms from over 40 countries over the period of two decades. We show that OLS estimates are strongly biased, yielding a positive correlation between taxation and output/efficiency. Accounting for the endogeneity via instrumenting yields robust negative estimates of the effects of taxation on firm output and efficiency. The results do not depend of firm characteristics, but are heterogeneous across countries: strong negative effects in some countries are accompanied by negligible or zero effects in others.
Corporate Income Taxation and Firm EfficiencyGRAPE
This study tests empirically the hypothesis that corporate income taxes are neutral for firm efficiency. We exploit the fact that the tax definition of cost does not overlap fully with an accounting definition of cost and develop an instrument for taxation which relies on exogenous variation in this overlap. Our sample consists of firm-level data for roughly 20 million firms from over 40 countries over the period of two decades. We show that OLS estimates are strongly biased, yielding a positive correlation between taxation and output/efficiency. Accounting for the endogeneity via instrumenting yields robust negative estimates of the effects of taxation on firm output and efficiency. The results do not depend of firm characteristics, but are heterogeneous across countries: strong negative effects in some countries are accompanied by negligible or zero effects in others.
BME Financial Results 4th. Quarter and year 2013BMEGroup
The document provides an overview of a company's business performance for the fourth quarter and full year of 2013. Key highlights include:
- Net profit increased 25% compared to Q4 2012 and 5.7% for the full year 2013.
- Revenues grew across most business areas, particularly in equity trading which saw a 45.4% increase in Q4 revenues.
- The company continues to maximize shareholder returns with proposed supplementary dividends of €0.65 per share.
So in summary, the company achieved strong financial results in Q4 and 2013 with increased revenues and profits across many business areas and continues its commitment to shareholder returns.
This document summarizes the evolution and current state of global pension systems. It discusses the rise of defined benefit (DB) pension schemes in the 20th century and their subsequent decline due to rising unfunded liabilities. More recently, defined contribution (DC) plans have grown in popularity as a way to pre-fund pensions and address issues with DB plans. However, pension coverage remains low in many developing countries. The document examines reforms like raising retirement ages and exploring social pensions or matching contributions to expand coverage to informal workers. Overall it presents an overview of pension trends over the last century and considerations for developing countries going forward.
RMB Morgan Stanley Big Five Investor Conference Presentation September 201871point4
The document discusses housing and household trends in South Africa based on census and survey data. Some key points:
- The number of households has grown significantly from 11.2 million in 2001 to 16.9 million in 2016, while the average household size has decreased.
- The number of households living in formal housing has increased by 5.7 million between 2001 and 2016 to 13.4 million.
- Housing makes up a large portion of household wealth in South Africa. However, SARB estimates of housing values may be understated.
- While many households live in formal structures, only 6.4 million properties are registered on the deeds registry, with most valued under R600,000.
William Tompson - What is regional development about and when does it work?GIZ Moldova
Regional development policy aims to address economic disparities between regions. It works through integrated regional strategies that focus on relatively immobile assets like infrastructure, human capital, innovation, and business environment. Good policy coordinates across sectors and governance levels to avoid unintended outcomes. It emphasizes competitiveness over temporary compensation. Regional funds are most effective when investments align with cross-sectoral growth strategies, rather than seen as substitutes for policy. Success requires a long-term vision at functional economic scales and participation of different actor levels.
Running Head The National Flood Insurance Program1The Natio.docxtoltonkendal
Running Head: The National Flood Insurance Program
1
The National Flood Insurance Program
3
The National Flood Insurance Program
Kevin Brown
American Public University
The National Flood Insurance Program (NFIP) was commenced voluntarily, which was set up in 1968 by Congress under the National Flood Insurance Act and was further supported by the Flood Insurance. NFIP was created because it can help make it affordable for homeowners or business
owners to pay for the damage to their property.
According to (Kiefer, 2013), I believe it is a good program at the federal level. It has contributed more than only paying individuals who have undergone damages as a result of floods. The NFIP is provided to a community the moment they want to contribute towards the flood reduction risk and the destruction caused by floods among the community members
. Within the communities impacted by floods and intended to provide insurance to their residents, they were required to establish different laws to control how the floodplains could have the potential to be developed.
The program was also established to address the raising taxpayer-funded costs of disaster relief and damage among victims of a flood. The NFIP program is meant to address issues that are affecting the long-term financial solvency; the report prepared by the program also has a number of approaches that can be used to manage and finance issues arising from the floods (Coppola, 2014). The program also describes unattended issues on legislation
. Some of the methods used to mitigate floods include elevation and relocation. In contrast, these strategies are impractical; thus, proofing of floods could just be the option
. From this point, flood proofing or construction of dwellings could not achieve federal standards. In addition, it is difficult for federal level emergency managers to overlook what is about to occur in local and state levels of government; therefore, in my personal opinion, the National Flood Insurance Program is not believed to be a good program at the federal level for emergency managers.
References
Haddow, G., Bullock, J. & Coppola, D. (2014). Introduction to emergency management. Waltham, MA: Butterworth-Heinemann, an imprint of Elsevier.
Jerolleman, A. & Kiefer, J. (2013). Natural hazard mitigation. Boca Raton: CRC Press
.
�Left justify
�What are you referring to?
�What is the definition of an “unattended legislative issue”?
�What does this mean?
�This paper is unclear. What is about to occur in local and state levels of government?
�Do not underline.
�I am extremely confused. These references are totally different from your citations.
StatementsWidgit Corporation's December 31 Balance SheetsAssets20122011Cash$ 72,000$ 65,000Accounts receivable439,000328,000Inventories894,000813,000 Total current assets$ 1,405,000$ 1,206,000Land and building238,000271,000Machinery132,000133,000Other fixed assets61,00057,000Total assets$ 1,836,000$ 1,667,000 ...
CIAT Asia is gathering to define its strategy and goals for the next 6 years. It will consider its past achievements, future priorities, and how to operationalize and fund its research goals. Goals and targets will be established based on socioeconomic indicators like poverty and hunger indexes. CIAT Asia will focus on 3 key development issues: livelihood improvement, land degradation, and climate change. It aims to define metrics and processes to monitor progress towards a potential funding goal of $12 million over the next 6 years.
HP is an American multinational information technology company founded by William Hewlett and David Packard. It provides hardware, software, and services to consumers, small and medium businesses, and large enterprises. The document includes HP's income statements from 2008 to 2014 which show trends in revenue, costs, expenses, profits, and other financial metrics over this period. It also compares some of HP's key financial ratios to IBM over the same time frame.
This document provides data on Mongolia's official development assistance from 2002-2014. It includes 14 pictures showing trends in total net ODA as a percentage of GNI and per capita, sources of funding by donor country, sectors funded, and progress toward achieving Millennium Development Goals. Key points include ODA increasing to over 10% of GNI in recent years, top donors being Japan, US, and Germany, and sectors funded including economic infrastructure, education, and health.
The current Bangladesh Economic Update reveals that fall in growth in collection of revenue, rising per capita debt burden and shrinking public sector investment may contract expansion of gross domestic product (GDP).
The financial audit of the City of Bangor for fiscal year 2014 received an unmodified opinion. The City reported no material weaknesses in internal controls. The presentation provides an overview of the City's general fund assets, liabilities, fund balance, revenues and expenditures for fiscal years 2012-2014. It also summarizes the financial results of the City's nonmajor and major enterprise funds over this period.
Effect on Different Economic Factors on NDP(National DomesticSubhodeep Mukherjee
The document discusses analyzing the effect of different economic factors on India's Net Domestic Product (NDP) over time. It outlines collecting annual data on factor incomes from 1980-2013 and representing the data in time series curves. Preliminary analysis found some factors like agriculture and manufacturing decreasing in impact while others like construction and services increased. The author proposes using time series techniques like ADF tests, ARMA/GARCH modeling to test for stationarity, fit appropriate models, check for volatility and predict future values of incomes and their impact on NDP. Notations are introduced for the different income variables to be analyzed.
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This document discusses measurement issues in comparing well-being and culture across countries. It covers 5 main issues: 1) Response styles may not fully explain differences in life satisfaction scores between countries. 2) Well-being items do not always function the same way across cultures, though lack of measurement equivalence only partly explains score differences. 3) Self-presentation and 4) judgmental/memory biases may also contribute to differences to a small-moderate degree. 5) The meaning and desirability of happiness differs across cultures, which can further impact scores. The document also advocates developing indigenous well-being measures that are meaningful within each local context.
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This document discusses considerations for developing quality of life measures from an African perspective. It notes that many existing QoL instruments were developed for Western populations and do not account for cultural differences. In Africa, concepts like happiness are more closely tied to collective well-being and social harmony rather than individualism. The document also outlines some key African beliefs, like Ubuntu, which emphasizes interconnectedness. It argues that QoL measures for Africa must assess both objective and subjective domains, and be grounded in cultural values like family, community, and spirituality rather than only Western individualistic norms. Developing culturally appropriate QoL measures is important for capturing well-being in a meaningful way.
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The document discusses Italy's inclusion of domain satisfaction indicators in its framework for measuring well-being (BES). It provides background on Italy's system of social surveys and outlines the development of the BES project, which aims to measure equitable and sustainable well-being. The BES framework includes 12 domains of well-being and over 150 indicators, including subjective well-being indicators and indicators measuring satisfaction within other domains like health, work, relationships, safety, environment and more. The document presents examples of domain satisfaction indicators and trends over time in areas like friends relations and landscape satisfaction.
A better understanding of domain satisfaction: Validity and policy use_Anthon...StatsCommunications
Domain satisfaction measures provide valid and useful information about people's lives beyond overall life satisfaction. Research has found that domain satisfaction captures different aspects of well-being than objective indicators alone, and that different life domains contribute differently to individual happiness. While domain satisfaction may be socially constructed and culturally variable, current policy efforts can still benefit from considering subjective experiences of satisfaction across life domains. Future research opportunities include exploring the multidimensional relationships between domain satisfaction and broader concepts of well-being.
A better understanding of domain satisfaction: Validity and policy use_Marian...StatsCommunications
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2) Domains of life represent different areas that people spend their time and where they make decisions, such as family, health, work, community.
3) Considering domains of life can provide insight into life satisfaction and help create more effective policies in areas like health, education, and social programs.
4) Current government institutions and policies can be better aligned to impact the domains of life that influence overall life satisfaction.
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- People in their late 60s and early 70s report the highest sense of worthwhile, while people over 85 and those aged 18-24 report the lowest.
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1) The document discusses measuring hope as a distinct dimension of well-being, in addition to evaluative, hedonic, and eudaimonic measures. Hope is strongly linked to future-oriented behavior and investing in one's future.
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Missing wealth components - should we care? An evidence from the LWS databse
1. Missing wealth components – should we care?
An evidence from the LWS database
Piotr Paradowski
Presentation prepared for
OECD Conference on wealth inequalities: measurement and policies
Paris, 26 April 2018
2. Motivation
• OECD guidelines for Micro Statistics on Household
Wealth (2013)
• The Household Finance and Consumption Network
(2006-
• Luxembourg Wealth Study (2003-
• Wealth inequality becomes a major concern for policy-
making
• So, we need to evaluate the sources of wealth
inequality as well as the effectives of policies
• We need to understand the distributional impact of
wealth components
• Concerns about wealth distribution should not only be
about the top part of this distribution
3. Questions
• Do we have all subcomponents of wealth
to understand the wealth distribution? If
not, what is missing?
• Do we still need to enlarge the range of
assets and liabilities?
• How much inequality indicators change if
we broaden the wealth components?
• Does broadening the range of assets
matter for the policy-making process?
4. Luxembourg Income Study (LIS)
Mission
To enable, facilitate, promote, and conduct cross-national
comparative research on socio-economic outcomes and on the
institutional factors that shape those outcomes.
5. The LIS Databases: LIS and LWS
1983 2018
20 datasets
12 high-income countries
1994 - 2007
LWS Database
LIS Database
Pilot LWS project
New LWS
database
37 datasets
13 high-income countries
1995 - 2016
312 datasets
Wave II around 1985
Wave I around 1980
Historical database
Wave V around 2000
Wave IV around 1995
Wave III around 1990
Wave VI around 2004
Wave VII around 2007
Wave VIII around 2010
Asia: 4 East, 1 South , 3 West
America: 2 North, 3 Central, 1
Caribbean, 6 South
Europe: 23 EU and 6 non EU
Oceania: 1 country
Africa: 2 countries
Time coverage Geographical
coverage
Wave IX around 2013
Wave X around 2016
6. LWS Coverage
Number of datasets included in LIS for each country
(7,15]
(4,7]
(2,4]
(1,2]
[.5,1]
not in LIS
Number of datasets included in
LWS
8 and more
5 to 7
3 to 4
2
1
Not in LWS
11. Changes in Gini index:
disposable wealth and adjusted wealth
Country Gini_dnw Gini_anw Gini_anw1 Gini_tnw Gini_d_a
(%)
Gini_d_a1
(%)
Gini_d_t
(%)
Rank_d_a
(%)
DE12 0.7836 0.7582 0.747 3.24145 4.67075 1
US16 0.8859 0.8675 0.8605 2.07698 2.86715 2
CA12 0.7131 0.7036 0.6714 0.671 1.33221 5.84771 5.9038 3
UK09 0.6127 0.6102 0.6083 0.6365 0.40803 0.718135 -3.88445 4
UK11 0.6281 0.6265 0.6239 0.6323 0.254731 0.66868 -0.66869 5
FI13 0.6498 0.6484 0.5477 0.21545 15.7125 6
GR14 0.5988 0.5986 0.033406 7
IT14 0.5896 0.5901 0.595 -0.0848 -0.91588 8
AU10 0.6113 0.6018 1.55406
Gini_dnw = Gini of disposable net worth
Gini_anw = Gini of adjusted net worth
Gini_d_a = % change in Gini (from disposable to adjusted)
Rank_d_a = country’s ranking based on % change in Gini (from disposable to adjusted)
12. Changes in Gini index:
disposable wealth and adjusted wealth
(with occupational pensions)
Country Gini_dnw Gini_anw Gini_anw1 Gini_tnw Gini_d_a
(%)
Gini_d_a1
(%)
Gini_d_t
(%)
Rank_d_a1
(%)
FI13 0.6498 0.6484 0.5477 0.21545 15.7125 1
CA12 0.7131 0.7036 0.6714 0.671 1.33221 5.84771 5.9038 2
US16 0.8859 0.8675 0.8605 2.07698 2.86715 3
UK09 0.6127 0.6102 0.6083 0.6365 0.40803 0.718135 -3.88445 4
UK11 0.6281 0.6265 0.6239 0.6323 0.254731 0.66868 -0.66869 5
IT14 0.5896 0.5901 0.595 -0.0848 -0.91588 6
DE12 0.7836 0.7582 0.747 3.24145 4.67075
AU10 0.6113 0.6018 1.55406
GR14 0.5988 0.5986 0.033406
Gini_dnw = Gini of disposable net worth
Gini_anw1 = Gini of adjusted net worth with occupational pensions
Gini_d_a1 = % change in Gini (from disposable to adjusted with occupational pensions)
Rank_d_a1 = country’s ranking based on % change in Gini (from disposable to adjusted with
occupational pensions)
13. Changes in Gini index:
disposable wealth and total wealth
Country Gini_dnw Gini_anw Gini_anw1 Gini_tnw Gini_d_a
(%)
Gini_d_a1
(%)
Gini_d_t
(%)
Rank_d_t
(%)
CA12 0.7131 0.7036 0.6714 0.671 1.33221 5.84771 5.9038 1
DE12 0.7836 0.7582 0.747 3.24145 4.67075 2
AU10 0.6113 0.6018 1.55406 3
UK11 0.6281 0.6265 0.6239 0.6323 0.254731 0.66868 -0.66869 4
UK09 0.6127 0.6102 0.6083 0.6365 0.40803 0.718135 -3.88445 5
IT14 0.5896 0.5901 0.595 -0.0848 -0.91588
US16 0.8859 0.8675 0.8605 2.07698 2.86715
FI13 0.6498 0.6484 0.5477 0.21545 15.7125
GR14 0.5988 0.5986 0.033406
Gini_dnw = Gini of disposable net worth
Gini_tnw = Gini of total net worth
Gini_d_t = % change in Gini (from disposable to total)
Rank_d_t = country’s ranking based on % change in Gini (from disposable to adjusted)
14. Gini index decomposition (gross assets)*:
AU10
Variable Share Gini Elasticity
Real Estate 0.5972 0.5761 -0.0181
Other Non-Fin 0.1224 0.518 -0.037
Financial Assets 0.1424 0.8769 0.0477
Pensions 0.138 0.7537 0.0073
TOTAL 1 0.565 0
Variable Share Gini Elasticity
Principal Residence 0.4353 0.5286 -0.0784
Other Real Estate 0.1628 0.9057 0.0604
Business 0.0258 0.9897 0.0119
Consumer Goods 0.0969 0.4125 -0.049
Cash/Savings 0.0393 0.7868 -0.0079
Debt securities 0.0005 0.9974 0
Stocks 0.0965 0.9656 0.0552
Alternative Investm 0.0047 0.9861 0.0004
Pensions 0.1382 0.7537 0.0073
TOTAL 1 0.565 0
* Lerman and Yitzhaki (1985)
15. Gini index decomposition (gross assets)*:
CA12
Variable Share Gini Elasticity
Real Estate 0.4447 0.6305 -0.04
Other Non-Fin 0.1432 0.7985 0.0165
Financial Assets 0.1112 0.8473 0.0151
Pensions 0.301 0.7433 0.0085
TOTAL 1 0.6217 0
Variable Share Gini Elasticity
Principal Residence 0.3497 0.5975 -0.0634
Other Real Estate 0.0998 0.9311 0.0235
Business 0.0847 0.9749 0.0366
Consumer Goods 0.06 0.5898 -0.0199
Cash/Savings 0.0441 0.7995 -0.0047
Debt securities 0.0026 0.9872 0.0004
Stocks 0.0292 0.9797 0.0117
Alternative Investm 0.0256 0.9646 0.0065
Occupational Pens 0.2013 0.813 0.0034
Volunt. Indiv. Pens 0.099 0.8042 0.006
Social Sec. Pens 0.004 0.9823 -0.0001
TOTAL 1 0.6217 0
* Lerman and Yitzhaki (1985)
16. Gini index decomposition (gross assets)*:
US16
Variable Share Gini Elasticity
Real Estate 0.3515 0.7465 -0.0416
Other Non-Fin 0.2047 0.9204 0.0159
Finanacial Assets 0.2843 0.933 0.0316
Volunt. Pens/Life Ins 0.1331 0.8782 -0.0024
Occup. Pens (DC) 0.0265 0.9487 -0.0036
TOTAL 1 0.8082 0
Variable Share Gini Elasticity
Principal Residence 0.2437 0.6894 -0.0534
Other Real Estate 0.11 0.9597 0.0116
Business 0.1715 0.9878 0.0307
Cons Goods 0.033 0.6165 -0.015
Cash/Savings 0.0561 0.863 -0.0036
Debt securities 0.0129 0.9958 0.0021
Stocks 0.0818 0.9832 0.0138
Alternative Investm 0.1305 0.9744 0.0197
Life Insure 0.0092 0.9585 -0.0009
Volunt. Indiv. Pens 0.1247 0.8868 -0.0014
Occup. Pens (DC) 0.0266 0.9487 -0.0036
TOTAL 1 0.8082 1
* Lerman and Yitzhaki (1985)
17. Gini index decomposition (gross assets)*:
UK11
Variable Share Gini Elasticity
Real Estate 0.4366 0.5617 -0.0536
Other Non-Fin 0.1739 0.6185 -0.0169
Financial Assets 0.1316 0.8066 0.0255
Pensions 0.2579 0.7868 0.0449
TOTAL 1 0.584 0
Variable Share Gini Elasticity
Principal Residence 0.5036 0.5514 -0.0481
Other Real Estate 0.0359 0.9696 0.0139
Business 0.0717 0.9917 0.048
Cons Goods 0.1432 0.4463 -0.0593
Cash/Savings 0.0678 0.7695 0.0012
Debt securities 0.0268 0.9409 0.0079
Stocks 0.0251 0.9786 0.0138
Alternative Invest 0.0232 0.9549 0.0091
Other Finan. Assets 0.0062 0.9937 0.003
Volunt. Indiv. Pens 0.025 0.9403 0.0043
Occupational Pens 0.0148 0.9545 0.001
Social Sec. Pens 0.0565 0.9144 0.0052
TOTAL 1 0.584 0
* Lerman and Yitzhaki (1985)
18. Conclusions
• We need to have detailed components of
financial and non-financial assets,
specifically pension assets
• We can be misinformed if we have only
aggregated measures of assets
• All this is necessary for informed
governmental policies.
19. Thank you for your attention
Any questions are welcome !
“When you can measure what you are speaking about and express
it in numbers you know something about it. But when you cannot
measure it or express it in numbers, you knowledge is of a meager
and unsatisfactory kind.”
Sir William Thomson
British Mathematician and physician (Belfast, 1824 - Netherhall, 1907)