Research Topics

The Levy Institute Measure of Economic Well-Being (LIMEW) was designed to provide a more comprehensive understanding of the changes affecting household living standards. Ajit Zacharias, Thomas Masterson, and Fernando Rios-Avila summarize their latest research on the trends in economic well-being for US households. They reveal historic stagnation in LIMEW growth over the 2000–13 period, as well as a major shift in the composition of well-being. The post-2000 period can be characterized as one of a growing dependence on the government to sustain living standards, with rising net government expenditures offsetting a sharp drop in base income.

Post-2000 Trends in the United States

Ajit Zacharias, Thomas Masterson, and Fernando Rios-Avila update the Levy Institute Measure of Economic Well-Being (LIMEW) for US households for the period 2000–13. The LIMEW—which comprises base income, income from wealth, net government expenditures, and the value of household production—is aimed at achieving a more comprehensive understanding of trends in living standards. This policy brief analyzes developments during this period at all levels of the LIMEW distribution, with a particular focus on the significant role played by net government expenditures. The overall trend for 2000–13 was one of historic stagnation in the growth of economic well-being for US households, but an examination of the different components of the measure reveals significant shifts taking place behind this headline trend.
 
A companion document, the Supplemental Tables, features additional data referenced in the policy brief.

Details about the sources of data and methods used to construct the estimates in this policy brief are discussed in Levy Institute Working Paper No. 912.

Why Time Deficits Matter

We describe the production of estimates of the Levy Institute Measure of Time and Income Poverty (LIMTIP) for Buenos Aires, Argentina, and use it to analyze the incidence of time and income poverty. We find high numbers of hidden poor—those who are not poor according to the official measure but are found to be poor when using our time-adjusted poverty line. Large time deficits for those living just above the official poverty line are the reason for this hidden poverty. Time deficits are unevenly distributed by employment status, family type, and especially gender. Simulations of the impact of full-time employment on those households with nonworking (for pay) adults indicate that reductions in income poverty can be achieved, but at the cost of increased time poverty. Policy interventions that address the lack of both income and time are discussed.

Gauging the severity of poverty in a given country requires a reasonably comprehensive measurement of whether individuals and households are surpassing some basic threshold of material well-being. This would seem to be an obvious point, and yet, in most cases, our official poverty metrics fail that test, often due to a crucial omission. In this policy brief, Senior Scholar Ajit Zacharias, Research Scholar Thomas Masterson, and Research Associate Emel Memiş  present an alternative measure of poverty for Turkey and lay out the policy lessons that follow. Their research reveals that the number of people living in poverty and the severity of their deprivation have been significantly underestimated. This report is part of an ongoing Levy Institute project on time poverty (the Levy Institute Measure of Time and Income Poverty), which has produced research on Latin America, Korea, and now Turkey, with the aim of extending this approach to other countries.

The Levy Institute Measure of Time and Consumption Poverty for Turkey

Official poverty lines in Turkey and other countries often ignore the fact that unpaid household production activities that contribute to the fulfillment of material needs and wants are essential for the household to reproduce itself as a unit. This omission has consequences. Taking household production for granted when measuring poverty yields an unacceptably incomplete picture, and therefore estimates based on such an omission provide inadequate guidance to policymakers.

Standard measurements of poverty assume that all households and individuals have enough time to adequately attend to the needs of household members—including, for example, children. These tasks are absolutely necessary for attaining a minimum standard of living. But this assumption is false. For numerous reasons, some households may not have sufficient time, and they thus experience what are referred to as “time deficits.” If a household officially classified as nonpoor has a time deficit and cannot afford to cover it by buying market substitutes (e.g., hire a care provider), that household will encounter hardships not reflected in the official poverty measure. To get a more accurate calculus of poverty, we have developed the Levy Institute Measure of Time and Consumption Poverty (LIMTCP), a two-dimensional measure that takes into account both the necessary consumption expenditures and household production time needed to achieve a minimum living standard.

We use the Levy Institute Measure of Economic Well-being (LIMEW), the most comprehensive income measure available to date, to compare economic well-being in Canada and the United States in the first decade of the 21st century. This study represents the first international comparison based on LIMEW, which differs from the standard measure of gross money income (MI) in that it includes noncash government transfers, public consumption, income from wealth, and household production, and nets out all personal taxes.

We find that, relative to the United States, median equivalent LIMEW was 11 percent lower in Canada in 2000. By 2005, this gap had narrowed to 7 percent, while the difference in median equivalent MI was only 3 percent. Inequality was notably lower in Canada, with a Gini coefficient of 0.285 for equivalent LIMEW in 2005, compared to a US coefficient of 0.376—a  gap that primarily reflects the greater importance of income from wealth in the States. However, the difference in Gini coefficients declined between 2000 and 2005. We also find that the elderly were better off relative to the nonelderly in the United States, but that high school graduates did better relative to college graduates in Canada.

This report presents estimates of the Levy Institute Measure of Economic Well-Being (LIMEW) for a representative sample of Canadian households in 1999 and 2005. The results indicate that there was only modest growth in the average Canadian household’s total command over economic resources in the six years between 1999 and 2005. Although inequality in economic well-being increased slightly over the 1999–2005 period, the LIMEW was more equally distributed across Canadian households than more common income measures (such as after-tax income) in both 1999 and 2005. The median household’s economic well-being was lower in Canada than in the United States in both years.

We construct estimates of the Levy Institute Measure of Economic Well-Being for France for the years 1989 and 2000. We also estimate the standard measure of disposable cash income (DI) from the same data sources. We analyze overall trends in the level and distribution of household well-being using both measures for France as a whole and for subgroups of the French population. The average French household experienced a slower rate of growth in LIMEW than DI over the period. A substantial portion of the growth in well-being for the middle quintile was a result of increases in net government expenditures and income from wealth. We also found that the well-being of families headed by single females relative to married couples deteriorated much more, while the well-being of households headed by the elderly relative to households headed by the nonelderly improved much more than indicated by the standard measure of disposable income. The conventional measure indicates that a steep decline in economic inequality took place between 1989 and 2000, while our measure indicates no such change. We argue that these outcomes can be traced to the difference in the treatment of the role of wealth in shaping economic inequality. Our measure also indicates that, on balance, government expenditures and taxes did not have an inequality-reducing effect in France for both years. This is, again, contrary to conventional wisdom.

We construct estimates of the Levy Institute Measure of Economic Well-Being for Great Britain for the years 1995 and 2005. We also produce estimates of the official British measures HBAI (from the Department for Work and Pensions annual report titled “Households below Average Income”) and ROI (from the Office of National Statistics Redistribution of Income analysis). We analyze overall trends in the level and distribution of household well-being using all three measures for Great Britain as a whole and for subgroups of the British population. Gains in household economic well-being between 1995 and 2005 vary by the measure used, from 23 percent (HBAI) to 32 percent (LIMEW) and 35 percent (ROI). LIMEW shows that much of the middle class’s gain in well-being was as a result of increases in government expenditures. LIMEW also marks a greater increase in economic well-being among elderly households due to the increase in their net worth. The redistributive effect of net government expenditures decreased notably between 1995 and 2005 according to the official measures, primarily due to the change in the distributive impact of government expenditures.