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.

Calls for a more people-focused approach to statistics on economic performance, and concerns about inequality, environmental impacts, and effects of digitalization have put welfare at the top of the measurement agenda. This paper argues that economic welfare is a narrower concept than well-being. The new focus implies a need to prioritize filling data gaps involving the economic welfare indicators of the System of National Accounts 2008 (SNA) and improving their quality, including the quality of the consumption price indexes. Development of distributional indicators of income, consumption, and wealth should also be a priority. Definitions and assumptions can have big effects on these indicators and should be documented. Concerns have also arisen over potentially overlooked welfare growth from the emergence of the digital economy. However, the concern that free online platforms are missing from nominal GDP is incorrect. Also, many of the welfare effects of digitalization require complementary indicators, either because they are conceptually outside the boundary of GDP or impossible to quantify without making uncertain assumptions.

Today's leading economists weigh in with a new "dashboard" of metrics for measuring our economic and social health "What we measure affects what we do. If we focus only on material well-being—on, say, the production of goods, rather than on health, education, and the environment—we become distorted in the same way that these measures are distorted." —Joseph E. Stiglitz A consensus has emerged among key experts that our conventional economic measures are out of sync with how most people live their lives. GDP, they argue, is a poor and outmoded measure of our well-being. The global movement to move beyond GDP has attracted some of the world's leading economists, statisticians, and social thinkers who have worked collectively to articulate new approaches to measuring economic well-being and social progress. In the decade since the 2008 economic crisis, these experts have come together to determine what indicators can actually tell us about people's lives. In the first book of its kind, leading economists from around the world, including Thomas Piketty, Emmanuel Saez, Elizabeth Beasely, Jacob Hacker, François Bourguignon, Nora Lustig, Alan B. Krueger, and Joseph E. Stiglitz, describe a range of fascinating metrics—from economic insecurity and environmental sustainability to inequality of opportunity and levels of trust and resilience—that can be used to supplement the simplistic measure of gross domestic product, providing a far more nuanced and accurate account of societal health and well-being. This groundbreaking volume is sure to provide a major source of ideas and inspiration for one of the most important intellectual movements of our time.

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.

In September 2001, staff from the World Bank and the International Monetary Fund met with the objective of strengthening collaboration between the two organizations in projects of civil service reform. This strengthened collaboration will have key benefits in ensuring consistency between the conflicting goals of the two organizations, establishing realistic objectives within the reform process, and maintaining a core set of wage and employment data. The principal conclusion arrived at was that World Bank and IMF staff should be engaging in collaboration earlier in the reform process. To guide the collaboration, six foundations were identified. These include: develop a medium-term fiscal framework; foster national ownership by making reforms politically feasible; focus and streamline conditionality; agree on sequencing and timing of reforms; and strengthen data collection. These principals will be tested for effectiveness in several focus countries.

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.

This edited volume seeks to provide a critical and technical look at international political economic indices (PEIs). It examines measurement issues, relates PEIs to economic theory, and suggests better measures than those currently used.