Knowledge that Transforms

We estimate the aggregate long-run elasticity of substitution between more educated workers and less educated workers (the slope of the inverse demand curve for more relative to less educated workers) at the U.S. state level. Our data come from the (five) 1950–1990 decennial censuses. Our empirical approach allows for state and time fixed effects and relies on time- and state-dependent child labor and compulsory school attendance laws as instruments for (endogenous) changes in the relative supply of more educated workers. We find the aggregate long-run elasticity of substitution between more and less educated workers to be around 1.5.

February 01 2005 “Measuring Poverty”: Discussion Michael Kremer Michael Kremer Harvard University Search for other works by this author on: This Site Google Scholar Author and Article Information Michael Kremer Harvard University Received: May 26 2004 Accepted: July 28 2004 Online ISSN: 1530-9142 Print ISSN: 0034-6535 © 2005 President and Fellows of Harvard College and the Massachusetts Institute of Technology2005 The Review of Economics and Statistics (2005) 87 (1): 23–25. https://doi.org/10.1162/0034653053327630 Article history Received: May 26 2004 Accepted: July 28 2004 Cite Icon Cite Permissions Share Icon Share Facebook Twitter LinkedIn Email Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Search Site Citation Michael Kremer; “Measuring Poverty”: Discussion. The Review of Economics and Statistics 2005; 87 (1): 23–25. doi: https://doi.org/10.1162/0034653053327630 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll JournalsThe Review of Economics and Statistics Search Advanced Search This content is only available as a PDF. © 2005 President and Fellows of Harvard College and the Massachusetts Institute of Technology2005 Article PDF first page preview Close Modal You do not currently have access to this content.

We estimate returns to human capital during communism and the transition using data on 2,284 men in the Czech Republic. We show: (a) extremely low and constant rates of return to education under the communist wage grid and dramatic increases in transition, which do not differ by firm ownership, (b) radical changes in returns to several fields of study and “sheepskin effects” in both regimes, (c) identical wage experience profile in both regimes, (d) similar 1996 returns to human capital obtained in communism and in transition, and (e) changes in the interindustry wage structure. A decomposition of the variance of wages finds individuals' unobservable effects from communism to persist into transition, but most of the variance is due to unobservable effects introduced in the transition.

We analyze the technology shocks identified by two different structural VAR models and compare them with classical and refined Solow residuals. The measures of technology are reasonably highly correlated. Alternative identifying restrictions in the VARs, however, have different theoretical as well as empirical consequences for the technology shocks. King et al.'s (1991) model and the classical Solow residual capture a mixture of technology and labor supply shocks, whereas the technology shocks from Galí's model and the refined Solow residuals are robust to the latter phenomenon. Moreover, we find that the two robust measures of technology are negatively correlated with hours worked.

Why have some countries done so much better than others over the recent past? This paper sheds light on this issue by providing a decomposition of the change in the distribution of output per worker across countries over the period 1960–1998. We find that most of the change in shape of the world distribution of income can be accounted for by a very substantial increase in the social returns to capital accumulation. In contrast, we do not find significant effects coming through changes in the effect of initial conditions or through increases in the importance of education.

Recent research documents the importance of uncertainty in determining macroeconomic outcomes, but little is known about the transmission of uncertainty across such outcomes. This paper examines the response of uncertainty about inflation and output growth to shocks documenting statistically significant size and sign bias and spillover effects. Uncertainty about inflation is a determinant of output uncertainty, whereas higher growth volatility tends to raise inflation volatility. Both inflation and growth volatility respond asymmetrically to positive and negative shocks. Negative growth and inflation shocks lead to higher and more persistent uncertainty than shocks of equal magnitude but opposite sign.

We provide cross-country and time series evidence on the extent of exchange rate pass-through into the import prices of 23 OECD countries. We find compelling evidence of partial pass-through in the short run, especially within manufacturing industries. Over the long run, producer-currency pricing is more prevalent for many types of imported goods. Countries with higher rates of exchange rate volatility have higher pass-through elasticities, although macroeconomic variables have played a minor role in the evolution of pass-through elasticities over time. Far more important for pass-through changes in these countries have been the dramatic shifts in the composition of country import bundles.

Is there a shortage of critical foreign language skills in the United States? Recent concerns about national security and economic globalization suggest increased demand and wage premia for foreign language speakers. The use of English as the international language, however, suggests a decrease in demand for foreign language skills in the United States. To address this question, we study a representative sample of U.S. college graduates. Ordinary least squares regressions with controls for cognitive ability, nonparametric methods based on the propensity score, and panel data methods suggest a 2%–3% wage premium for college graduates who can speak a second language.

The extent to which growth reduces global poverty has been disputed for 30 years. Although there is better data than ever before, controversies are not resolved. A major problem is that consumption measured from household surveys, which is used to measure poverty, grows less rapidly than consumption measured in national accounts, in the world as a whole, and in large countries, particularly India, China, and the US. In consequence, measured poverty has fallen less rapidly than appears warranted by measured growth in poor countries. One plausible cause is that richer households are less likely to participate in surveys. But growth in the national accounts is also upwardly biased, and consumption in the national accounts contains large and rapidly growing items that are not consumed by the poor and not included in surveys. So it is possible for consumption of the poor to grow less rapidly than national consumption, without any increase in measured inequality. Current statistical procedures in poor countries understate the rate of global poverty reduction, and overstate growth in the world.

This paper analyzes the stability over time of the econometric process for euro-area inflation since 1970, focusing in particular on the behavior of the so-called persistence parameter (the sum of the coefficients on the lagged dependent variables). Perhaps surprisingly, in light of the Lucas critique, our principal finding is that there appears to be relatively little instability in the parameters of the euro-area inflation process. Full-sample estimates of the persistence parameter are generally close to 1, and we fail to reject the hypothesis that this parameter has been stable over time. We discuss how these results provide some indirect evidence against rational expectations models with strong forward-looking elements, such as the New Keynesian Phillips curve.