The Measurement Of Household Welfare

The measurement of household welfare is one of the most compelling yet demanding areas in economics. To place the analysis of inequality and poverty within an economic framework where individuals are making decisions about current and lifetime incomes and expenditures is a difficult task, made all the more challenging by the complexity of the decision-making process in which households are involved and the variety of constraints they face. This 1994 book examines the conceptual and practical difficulties of making inferences from observed behaviour. It addresses the problems of making comparisons across a range of very different households and discusses how data for such comparisons should be collected. The contributions, from experts from Europe, North America and Australia, have the unifying theme that there is a strong relationship between theoretical concepts from microeconomics and the appropriate use of micro data in evaluating household welfare.

A group of scholars converging on a common and socially relevant economic theme of research, that of households' welfare and poverty, met several times in the last two years to discuss the research progress and the opportunity to bring to gether for publication the research so far accomplished. They shared a research project supported by a grant from the former Italian Ministero dell'Universita e della Ricerca Scientifica e Tecnologica (MURST) now Ministero dell'Istruzione, dell'Universita e della Ricerca (MIUR): The Equiva lence Scales in the Measurement of Households' Welfare: Statistical, Economic and Demographic Analysis. The decisive meeting, an international seminar on the topics, was hosted by the University of Florence, siege of the national coordinator of this project. When one think of Florence, it is inevitable to think of the unfolding of Ren aissance, and reciprocally. th To the eyes of a traveller who had arrived to Florence in the 15 century, the city would have appeared as a sort of El Dorado, similarly to what would have occurred to the first conquerors of the South America's lands, so much astonishing were the richness of arts and the opulence of life. The flourishing of painting and sculpture had not equal all over the world and was reaching tops never made equal before. Masaccio, Brunelleschi, Donatello and later on Leonardo and Michelangelo, were the artistic and intellectual genius that enlightened beauty lovers princes.....

To predict the effect of economic policies on household welfare, one should first understand which characteristics of households and of the localities in which they live, enable them to raise their welfare levels. This paper outlines a simple procedure for investigating the determinants of household welfare and demonstrates its use with recent data from Cote d'Ivoire. Despite the relative simplicity, much information is obtained from its use on cross-sectional survey data. Results specific to Cote d'Ivoire include : high (low) returns to education in urban (rural) areas; high benefits from cocoa land relative to coffee land; a significant impact on economic welfare from the availability of medical services, and no apparent benefits from agricultural extension services.

Using data from several countries, including Cote d'Ivoire, India, Pakistan, Taiwan, and Thailand, this book analyzes household survey data from developing countries and illustrates how such data can be used to cast light on a range of short-term and long-term policy issues.

This volume presents an approach to the evaluation of economic policies through the econometric modeling of aggregate consumer behavior. While the preferences of individual consumers are revealed by their market choices, these preferences can be recovered only by econometric methods, not through the index numbers used in the official statistics. The richer and more robust methodology presented in this volume provides a fruitful point of departure for future policy evaluations. The econometric approach replaces ordinal measures of individual welfare that cannot be compared among individuals with cardinal measures that can. These are combined into an indicator of social welfare that reflects principles of horizontal and vertical equity. This approach unifies the measurement of poverty, inequality, and cost and standard of living. It extends the scope of normative economics to a broader range of issues in the evaluation of economic and social policies.

This paper surveys three alternative approaches to the measurement and analysis of welfare, reflective of the thinking that has been ongoing in the Bank's Living Standards Measurement Study. The first approach advocates the derivation of true indexes of welfare from the preference paramaters estimated in an integrated model of household expenditures deflated by a price index and an adult equivalence scale as a measure of welfare. The third approach consists of the calculation of full income for households. These last two approaces are in a sense shortcut versions of the first, requiring less data. The choice of approach must be based on careful investigation of the trade-off between conceptual rigor and practical constraints on data collection and use. Welfare is a multidimensional concept; attention is given to short-term stochastic variations, asset accumulation, and vulnerability of the household. The paper also discusses the multipurpose household survey needed to gather data and some principles about data presentation.

This paper is an account of the World Bank's effort to collect household-level data on poverty in developing countries and what that data says about the effects of government policies on living conditions of the poor. The main objective of the Living Standards Measurement Study (LSMS) surveys is to provide household-level data for evaluating the population's living conditions. This paper gives a history of LSMS and shows general trends that emerged in studies for which LSMS data are available: (a) most of the poor are in rural areas; (b) most of the poor are in households in which the head works in agriculture; and (c) the heads of poor households have low levels of education. Selected results of studies on the persistence of poverty, the effects on the poor, structural adjustment, food stamps and food subsidies, and raising user fees for health care and education are presented.