Research Topics

This paper provides an empirical analysis of nonfinancial corporate debt in six large Latin American countries (Argentina, Brazil, Chile, Colombia, Mexico, and Peru), distinguishing between bond-issuing and non-bond-issuing firms, and assessing the debt’s macroeconomic implications. The paper uses a sample of 2,241 firms listed on the stock markets of their respective countries, comprising 34 sectors of economic activity for the period 2009–16. On the basis of liquidity, leverage, and profitability indicators, it shows that bond-issuing firms are in a worse financial position relative to non-bond-issuing firms. Using Minsky’s hedge/speculative/Ponzi taxonomy for financial fragility, we argue that there is a larger share of firms that are in a speculative or Ponzi position relative to the hedge category. Also, the share of hedge bond-issuing firms declines over time. Finally, the paper presents the results of estimating a nonlinear threshold econometric model, which demonstrates that beyond a leverage threshold, firms’ investment contracts while they increase their liquidity positions. This has important macroeconomic implications, since the listed and, in particular, bond-issuing firms (which tend to operate under high leverage levels) represent a significant share of assets and investment. This finding could account, in part, for the retrenchment in investment that the sample of countries included in the paper have experienced in the period under study and highlights the need to incorporate the international bond market in analyses of monetary transmission mechanisms.

Why Time Deficits Matter for Poverty

We cannot adequately assess how much or how little progress we have made in addressing the condition of the most vulnerable in our societies, or provide accurate guidance to policymakers intent on improving each individual’s and household’s ability to reach a basic standard of living, if we do not have a reliable means of measuring who is being left behind. With the support of the United Nations Development Programme and the International Labour Organization, Senior Scholars Rania Antonopoulos and Ajit Zacharias and Research Scholar Thomas Masterson have constructed an alternative measure of poverty that, when applied to the cases of Argentina, Chile, and Mexico, reveals significant blind spots in the official numbers.

Implications for the Measurement of Poverty

Customarily, income poverty incidence is judged by the ability of individuals and households to gain access to some level of minimum income based on the premise that such access ensures the fulfillment of basic material needs. However, this approach neglects to take into account the necessary (unpaid) household production requirements without which basic needs cannot be fulfilled. In fact, the two are interdependent and evaluation of standards of living ought to consider both dimensions.

This report provides an analytical and empirical framework that includes unpaid household production work in the very conceptualization and calculations of poverty: the Levy Institute Measure of Time and Income Poverty (LIMTIP). Based on this new analytical framework, empirical estimates of poverty are presented and compared with those calculated according to the official income poverty lines for Argentina, Chile, and Mexico. In addition, an employment-generating poverty-reduction policy is simulated in each country, and the results are assessed using the official and LIMTIP poverty lines.

The undertaking of this work was initiated as a result of joint discussions and collaboration between the Levy Economics Institute and United Nations Development Programme Regional Service Centre for Latin America and the Caribbean, particularly the Gender Practice, Poverty, and Millennium Development Goals areas. It addresses an identified need to expand the knowledge base, conceptually, analytically, and empirically, on the links between (official) income poverty and the time allocation of households between paid and unpaid work.

Supporting documents:
Executive Summary
Appendices
Excel Tables for Chapters 2, 3, 4, and 5

The method for simulation of labor market participation used in the LIMTIP models for Argentina, Chile, and Mexico is described. In each case, all eligible adults not working full-time were assigned full-time jobs. In all households that included job recipients, the time spent on household production was imputed for everyone included in the time-use survey. The feasibility of assessing the quality of the simulations is discussed. For each simulation, the recipient group is compared to the donor group, both in terms of demographic similarity and in terms of the imputed usual hours, earnings, and household production produced in the simulation. In each case, the simulations are of reasonable quality, given the nature of the challenges in assessing their quality.

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.