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Peter J. Klenow

Bio: Peter J. Klenow is an academic researcher from Stanford University. The author has contributed to research in topics: Relative price & Human capital. The author has an hindex of 50, co-authored 109 publications receiving 18546 citations. Previous affiliations of Peter J. Klenow include University of Chicago & National Bureau of Economic Research.


Papers
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TL;DR: This paper measured sizable gaps in marginal products of labor and capital across plants within narrowly defined industries in China and India compared with the United States, and calculated manufacturing TFP gains of 30%-50% in China, and 40%-60% in India.
Abstract: Resource misallocation can lower aggregate total factor productivity (TFP).We use microdata on manufacturing establishments to quantify the potential extent of misallocation in China and India versus the United States. We measure sizable gaps in marginal products of labor and capital across plants within narrowly defined industries in China and India compared with the United States. When capital and labor are hypothetically reallocated to equalize marginal products to the extent observed in the United States, we calculate manufacturing TFP gains of 30%–50% in China and 40%–60% in India.

1,995 citations

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TL;DR: In this paper, a model is examined in which the ability to build on the human capital of one's elders plays an important role in linking growth to schooling, and it is shown that the impact of schooling on growth explains less than one third of the empirical cross-country relationship.
Abstract: A number of economists find that growth and schooling are highly correlated across countries. A model is examined in which the ability to build on the human capital of one's elders plays an important role in linking growth to schooling. The model is calibrated to quantify the strength of the effect of schooling on growth by using evidence from the labor literature on Mincerian returns to education. The upshot is that the impact of schooling on growth explains less than one-third of the empirical cross-country relationship. The ability of reverse causality to explain this empirical relationship is also investigated.

1,910 citations

Journal ArticleDOI
TL;DR: The authors found that the extensive margin accounts for around 60 percent of the greater exports of larger economies and that richer countries export higher quantities at modestly higher prices, while small economies export more in absolute terms than do small economies.
Abstract: Large economies export more in absolute terms than do small economies. We use data on shipments by 126 exporting countries to 59 importing countries in 5,000 product categories to answer the question: How? Do big economies export larger quantities of each good (the intensive margin), a wider set of goods (the extensive margin), or higher-quality goods? We find that the extensive margin accounts for around 60 percent of the greater exports of larger economies. Within categories, richer countries export higher quantities at modestly higher prices. We compare these findings to some workhorse trade models. Models with Armington national product differentiation have no extensive margin, and incorrectly predict lower prices for the exports of larger economies. Models with Krugman firm-level product differentiation do feature a prominent extensive margin, but overpredict the rate at which variety responds to exporter size. Models with quality differentiation, meanwhile, can match the price facts. Finally, models with fixed costs of exporting to a given market might explain the tendency of larger economies to export a given product to more countries.

1,735 citations

Journal ArticleDOI
TL;DR: The authors find that productivity differences are the dominant source of the large international dispersion in levels and growth rates of output per worker, and conclude that although models that focus on physical and human capital are clearly important, research needs to be re-focused on explaining the causes of productivity differences across countries.
Abstract: In our view there has been a "Neoclassical Revival" in growth economics spurred by the empirical findings of Mankiw, Romer, and Weil (1992), Barro and Sala-i-Martin (1995), and Young (1994 and 1995). By this we mean a revival of the neoclassical growth model-which features a common level of productivity but different levels of human and physical capital across countries-as a viable candidate for explaining the major part of country differences in levels and growth rates of output per worker. Marshaling existing evidence from the labor literature on the returns to schooling and experience, we construct new measures of human capital across countries. We find that productivity differences are the dominant source of the large international dispersion in levels and growth rates of output per worker. We conclude that, although models that focus on physical and human capital are clearly important, research needs to be re-focused on explaining the causes of productivity differences across countries.

1,576 citations

ReportDOI
TL;DR: This article examined the frequency of price changes for 350 categories of goods and services covering about 70 percent of consumer spending, on the basis of unpublished data from the Bureau of Labor Statisti...
Abstract: We examine the frequency of price changes for 350 categories of goods and services covering about 70 percent of consumer spending, on the basis of unpublished data from the Bureau of Labor Statisti...

1,417 citations


Cited by
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TL;DR: This paper showed that differences in physical capital and educational attainment can only partially explain the variation in output per worker, and that a large amount of variation in the level of the Solow residual across countries is driven by differences in institutions and government policies.
Abstract: Output per worker varies enormously across countries. Why? On an accounting basis, our analysis shows that differences in physical capital and educational attainment can only partially explain the variation in output per worker--we find a large amount of variation in the level of the Solow residual across countries. At a deeper level, we document that the differences in capital accumulation, productivity, and therefore output per worker are driven by differences in institutions and government policies, which we call social infrastructure. We treat social infrastructure as endogenous, determined historically by location and other factors captured in part by language.

7,208 citations

ReportDOI
TL;DR: This paper examined whether financial development facilitates economic growth by scrutinizing one rationale for such a relationship; that financial development reduces the costs of external finance to firms, and found that industrial sectors that are relatively more in need of foreign finance develop disproportionately faster in countries with more developed financial markets.
Abstract: Does finance affect economic growth? A number of studies have identified a positive correlation between the level of development of a country's financial sector and the rate of growth of its per capita income. As has been noted elsewhere, the observed correlation does not necessarily imply a causal relationship. This paper examines whether financial development facilitates economic growth by scrutinizing one rationale for such a relationship; that financial development reduces the costs of external finance to firms. Specifically, we ask whether industrial sectors that are relatively more in need of external finance develop disproportionately faster in countries with more developed financial markets. We find this to be true in a large sample of countries over the 1980s. We show this result is unlikely to be driven by omitted variables, outliers, or reverse causality.

6,815 citations

Journal ArticleDOI
TL;DR: This article showed that the differences in capital accumulation, productivity, and therefore output per worker are driven by differences in institutions and government policies, which are referred to as social infrastructure and called social infrastructure as endogenous, determined historically by location and other factors captured by language.
Abstract: Output per worker varies enormously across countries. Why? On an accounting basis our analysis shows that differences in physical capital and educational attainment can only partially explain the variation in output per worker—we find a large amount of variation in the level of the Solow residual across countries. At a deeper level, we document that the differences in capital accumulation, productivity, and therefore output per worker are driven by differences in institutions and government policies, which we call social infrastructure. We treat social infrastructure as endogenous, determined historically by location and other factors captured in part by language. In 1988 output per worker in the United States was more than 35 times higher than output per worker in Niger. In just over ten days the average worker in the United States produced as much as an average worker in Niger produced in an entire year. Explaining such vast differences in economic performance is one of the fundamental challenges of economics. Analysis based on an aggregate production function provides some insight into these differences, an approach taken by Mankiw, Romer, and Weil [1992] and Dougherty and Jorgenson [1996], among others. Differences among countries can be attributed to differences in human capital, physical capital, and productivity. Building on their analysis, our results suggest that differences in each element of the production function are important. In particular, however, our results emphasize the key role played by productivity. For example, consider the 35-fold difference in output per worker between the United States and Niger. Different capital intensities in the two countries contributed a factor of 1.5 to the income differences, while different levels of educational attainment contributed a factor of 3.1. The remaining difference—a factor of 7.7—remains as the productivity residual. * A previous version of this paper was circulated under the title ‘‘The Productivity of Nations.’’ This research was supported by the Center for Economic Policy Research at Stanford and by the National Science Foundation under grants SBR-9410039 (Hall) and SBR-9510916 (Jones) and is part of the National Bureau of Economic Research’s program on Economic Fluctuations and Growth. We thank Bobby Sinclair for excellent research assistance and colleagues too numerous to list for an outpouring of helpful commentary. Data used in the paper are available online from http://www.stanford.edu/,chadj.

6,454 citations

Journal ArticleDOI
TL;DR: This paper found that trade has a quantitatively large and robust, though only moderately statistically significant, positive effect on income and that countries' geographic characteristics have important effects on trade, and are plausibly uncorrelated with other determinants of income.
Abstract: Examining the correlation between trade and income cannot identify the direction of causation between the two. Countries’ geographic characteristics, however, have important effects on trade, and are plausibly uncorrelated with other determinants of income. This paper therefore constructs measures of the geographic component of countries’ trade, and uses those measures to obtain instrumental variables estimates of the effect of trade on income. The results provide no evidence that ordinary least-squares estimates overstate the effects of trade. Further, they suggest that trade has a quantitatively large and robust, though only moderately statistically significant, positive effect on income. (JEL F43, 040)

5,537 citations

Journal ArticleDOI
TL;DR: In this article, the authors present a model embodying moderate amounts of nominal rigidities that accounts for the observed inertia in inflation and persistence in output, and the key features of their model are those that prevent a sharp rise in marginal costs after an expansionary shock to monetary policy.
Abstract: We present a model embodying moderate amounts of nominal rigidities that accounts for the observed inertia in inflation and persistence in output. The key features of our model are those that prevent a sharp rise in marginal costs after an expansionary shock to monetary policy. Of these features, the most important are staggered wage contracts that have an average duration of three quarters and variable capital utilization.

4,250 citations