Issues with Representing the Welfare of Agents U(x) is fundamentally Unobservable, proxies are needed, here we deal with some of the issues.

Slides:



Advertisements
Similar presentations
Justice & Economic Distribution (2)
Advertisements

Conference on Indicators, February 2010 Hans Steiner Federal Ministry of Labour, Social Affairs and Consumer Protection Political Relevance of EU-Social.
Amartya Kumar Sen ….…….Freedom as Progress
The Optimal Allocation of Risk James Mirrlees Chinese University of Hong Kong At Academia Sinica, Taipei 8 October 2010.
Theodore Mitrakos Bank of Greece & Panos Tsakloglou Athens University of Economics and Business & IZA INEQUALITY, POVERY AND WELFARE IN GREECE: FROM THE.
Chapter 6 Economic Inequality.
(Hierarchical) Log-Linear Models Friday 18 th March 2011.
McGraw-Hill/Irwin Copyright © 2008 by The McGraw-Hill Companies, Inc. All rights reserved. CHAPTER 12 INCOME REDISTRIBUTION: CONCEPTUAL ISSUES.
Chapter 10. Lorenz Curve and Gini Coefficient Measure distribution of thing your interested in. E.g.   Share of largest firms in an oligopolistic industry,
Has Economic Well-being improved in Western Nations? Lars Osberg Department of Economics, Dalhousie University Halifax, Nova Scotia Presentation at Wuhan.
New Estimates of the Index of Economic Well- Being for Canada Lars Osberg - Dalhousie University Andrew Sharpe - Center for the Study of Living Standards.
Reinert/Windows on the World Economy, 2005 Development Concepts CHAPTER 19.
Poverty, Undernutrition, and Famines In the first part of this course we have been dealing with poverty, growth, institutions, and microfinance But we.
25 Sept 07 FF8 - Discrete Choice Data Introduction Tony O’Hagan.
Chapter 14 Inequality in Earnings. Copyright © 2003 by Pearson Education, Inc.14-2 Figure 14.1 Earnings Distribution with Perfect Equality.
Exploring Poverty Indicators 5th - 9th December 2011, Rome.
UNECE Conference on poverty measurement December 2-4, 2013 Poverty and Equity Measurement at the World Bank and the ECA context.
Poverty measures: Properties and Robustness
Constructing the Welfare Aggregate Part 2: Adjusting for Differences Across Individuals Bosnia and Herzegovina Poverty Analysis Workshop September 17-21,
Comments on Measuring Inequality in Human Development Second Conference on Measuring Human Progress NY, March 4-5, 2013 Carmen Herrero.
Lecture 2 : Inequality. Today’s Topic’s Schiller’s major points Introduction to Census data.
Mobility Examining the Transition between states..
Dominance Relationships The empirical examination of partial orderings via various forms of dominance relationships.
Economic Resources Data Collection and Measurement South Africa case Study UN EXPERT GROUP MEETING 9 TH September 2008 Kefiloe Masiteng.
Measurement of Living Standards in Latin America : Challenges and Research Agenda Jaime Saavedra The World Bank.
INCOME REDISTRIBUTION: CONCEPTUAL ISSUES
5.1 Household Behavior and Consumer Choice We have studied the basics of markets: how demand and supply determine prices and how changes in demand and.
International Health Policy Program -Thailand Using STATA 10.0 for Health Equity Analysis Rachid Janta Vuthiphan Wongmongkol 4/12/2008 IHPP Meeting Room.
DFID: STATISTICS TRAINING DAY LONDON, NOVEMBER 11, 2013 JONATHAN HAUGHTON Measuring.
CHAPTER 6, INDEXES, SCALES, AND TYPOLOGIES
PART TWO: Distribution and Human Resources
ECON Poverty and Inequality. Measuring poverty To measure poverty, we first need to decide on a poverty line, such that those below it are considered.
Poverty measurement: experience of the Republic of Moldova UNECE, Measuring poverty, 4 May 2015.
CHAPTER 12 Income Redistribution: Conceptual Issues Copyright © 2010 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
Income Assistance Programs and the Labour Market - Relevant Canadian Experiences & Worker Well Being Lars Osberg Economics Department, Dalhousie University.
Well-being and multidimensional deprivation: some results from the OECD Better Life Initiative Nicolas Ruiz.
Adjusting for Family Composition and Size Module 4: Poverty Measurement and Analysis February, 2008.
Who are the Poor? Partial Identification of Poverty Status. Gordon Anderson Teng Wah Leo.
Income Benchmark Applied Inclusive Growth Analytics Course June 29, 2009 Leonardo Garrido.
Copyright 2011 The McGraw-Hill Companies 11-1 Facts About Income Inequality Causes of Income Inequality Equality Versus Efficiency The Economics of Poverty.
The Nature and Method of Economics 1 C H A P T E R.
Distribution of Income Who has all the Money?. Income Distribution Free markets focus on EFFICIENCY not EQUALITY United States has enormous wealth but.
ECONOMIC SYSTEMS OF GOVERNMENT CAPITALISM, SOCIALISM, AND COMMUNISM (OBJ.7)
Household Economic Resources Discussant Comments UN EXPERT GROUP MEETING 9 September 2008 Garth Bode, Australian Bureau of Statistics.
The Average Propensity to Consume Out of Full Wealth: Testing a New Measure Laurie Pounder.
Poverty measurement Michael Lokshin, DECRG-PO The World Bank.
Statistics Division Beijing, China 25 October, 2007 EC-FAO Food Security Information for Action Programme Side Event Food Security Statistics and Information.
Data Weighting Issues Adult Equivalent Scales, Stratified Sampling and general Population Weighting Issues.
Food Security As Resilience: Reconciling Definition and Measurement
Forecasting Parameters of a firm (input, output and products)
IGCSE ECONOMICS Section C 1/9/14. OUTPUT  The output of an economy is also known as National income. This measures the total value of goods and services.
Constructing the Welfare Aggregate Part 2: Adjusting for Differences Across Individuals Salman Zaidi Washington DC, January 19th,
CHAPTER 12 Income Redistribution: Conceptual Issues Copyright © 2010 by the McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
Chapter 14 Consumer’s Surplus How to estimate preferences or utility from demand A discrete good with quasilinear utility u(x,y)=v(x)+y where y is money.
Session 2 Review Today Elements of the course (info cards)
1 Measuring Poverty: Inequality Measures Charting Inequality Share of Expenditure of Poor Dispersion Ratios Lorenz Curve Gini Coefficient Theil Index Comparisons.
Adam Smith “The Wealth of Nations”. His Times Born in 1723, in Scotland Born in 1723, in Scotland The Industrial Revolution was just beginning The Industrial.
King Faisal University جامعة الملك فيصل Deanship of E-Learning and Distance Education عمادة التعلم الإلكتروني والتعليم عن بعد [ ] 1 جامعة الملك فيصل عمادة.
Poverty measures: Properties and Robustness Michael Lokshin DECRG-PO The World Bank.
Virtual University of Pakistan Lecture No. 11 Statistics and Probability by Miss Saleha Naghmi Habibullah.
Chapter 4: Measuring Welfare. Introduction: This chapter has been much focused on the problems of measurement. The aim of this chapter is to clarify some.
Multidimensional Poverty Measurement
Measurement 12 Inequality.
What properties would we expect preferences to exhibit?
Module 1 Measuring Poverty
What is development? Domains of development
Bank of Greece Conference on
Chapter 4: Designing Studies
INCOME REDISTRIBUTION: CONCEPTUAL ISSUES
DEV 501: THE THEORY OF CONSUMER CHOICE
Presentation transcript:

Issues with Representing the Welfare of Agents U(x) is fundamentally Unobservable, proxies are needed, here we deal with some of the issues.

There are many issues, suppose U(x) is monotonic increasing in x why not just use the elements of x? Many dimensions or few dimensions for x? Current or Lifetime individual wellbeing? Individuals or households? What should x contain, goods, “functionings and capabilities”? Consumption or Income measures? Complete Orderings or Partial orderings?

Many Factors versus One Factor While we do not observe U(x) we frequently observe some or all of the x. Problems with multivariate analysis are mainly technical and practical rather than logical. Essentially we have to decide a form for U i ( ), what x should contain and who the “i’s” should be. The problem of defining a poverty cutoff in multivariate states.-Poverty Boundaries and multivariate distances The problem of defining inequality in multivariate states - the Multivariate Gini Multivariate versions of other inequality measures.

Current Versus Lifetime Happiness Depends upon the questions being asked, typically welfare measurement is “current” cross sectional using the income of an individual without regard to their position in the lifecycle. Child Poverty, Pensioner Poverty – the same “sort” of poverty? The Example of Africa – Looking at income and life expectancy. Life chances and Intergenerational Effects – mobility analysis and The Dynastic Poor.

What Inequality?

Households or Individuals Usually data is obtained by household utility is experienced by individuals – really a reprise of the problem of aggregating utilities but a bit worse because we have no information on the sharing rules (i.e. who gets what share of the x). If some notion of a sharing rule is established the problem basically becomes an issue of how we weight the data at the household level. Equivalence scales - the identification problem in budget studies - essentially we cannot elicit who gets what from knowing prices household income and expenditures. Square Root and other rules.

Goods versus Functionings and Capabilities Sen (Inequality Reexamined) argues that what people actually consume is less relevant than what they are capable of consuming Similar sentiment to the equal opportunity imperative – inequality not bad if it is a matter of choice, but bad if it is a matter of circumstance. The wellbeing of a person seen in terms of the quality of his being, living is seen as consisting of a collection of beings and doings and his achievement in this respect viewed as a vector of functionings. Functionings: adequate nourishment, good health, avoiding premature mortality, being happy, gaining self respect, being “socialized”.

Consumption Versus Income PIH arguments, that consumption is less variable than income and more closely related to lifetime wealth argue for various consumption variates. Perhaps this ignores the notion of household risk and its relationship to the extent to which income smoothing takes place. Also related to the extent to which current versus lifetime wellbeing is the object of attention. Measurement considerations (income is usually more accurately measured than consumption data) militates in favour of income.

Complete Orderings of Indices versus Partial Orderings of Dominance Relationships. Complete orderings (based upon comparisons of indices) always yield an answer but they may well be ambiguous. Partial orderings (based upon comparisons of distributions) are never ambiguous but they do not always give us answers. Gini coefficient versus Lorenz Dominance. Poverty Indices versus Poverty Dominance.