David H. Romer

Bio: David H. Romer is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Monetary policy & Inflation. The author has an hindex of 61, co-authored 150 publications receiving 37591 citations. Previous affiliations of David H. Romer include National Bureau of Economic Research & Massachusetts Institute of Technology.

A Contribution to the Empirics of Economic Growth

Abstract: This paper examines whether the Solow growth model is consistent with the international variation in the standard of living. It shows that an augmented Solow model that includes accumulation of human as well as physical capital provides an excellent description of the cross-country data. The paper also examines the implications of the Solow model for convergence in standards of living, that is, for whether poor countries tend to grow faster than rich countries. The evidence indicates that, holding population growth and capital accumulation constant, countries converge at about the rate the augmented Solow model predicts. This paper takes Robert Solow seriously. In his classic 1956 article Solow proposed that we begin the study of economic growth by assuming a standard neoclassical production function with decreasing returns to capital. Taking the rates of saving and population growth as exogenous, he showed that these two vari- ables determine the steady-state level of income per capita. Be- cause saving and population growth rates vary across countries, different countries reach different steady states. Solow's model gives simple testable predictions about how these variables influ- ence the steady-state level of income. The higher the rate of saving, the richer the country. The higher the rate of population growth, the poorer the country. This paper argues that the predictions of the Solow model are, to a first approximation, consistent with the evidence. Examining recently available data for a large set of countries, we find that saving and population growth affect income in the directions that Solow predicted. Moreover, more than half of the cross-country variation in income per capita can be explained by these two variables alone. Yet all is not right for the Solow model. Although the model correctly predicts the directions of the effects of saving and

Does Trade Cause Growth

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)

The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks

Abstract: This paper investigates the impact of tax changes on economic activity. We use the narrative record, such as presidential speeches and Congressional reports, to identify the size, timing, and principal motivation for all major post war tax policy actions. This analysis allows us to separate legislated changes into those taken for reasons related to prospective economic conditions and those taken for more exogenous reasons. The behavior of output following these more exogenous changes indicates that tax increases are highly contractionary. The effects are strongly significant, highly robust, and much larger than those obtained using broader measures of tax changes. (JEL E32, E62, H20, N12) Tax changes have been a major public policy issue in recent years. The tax cuts of 2001 and 2003 were passed amid firestorms of debate about their likely effects. Some policymakers claimed that the cuts would both stimulate the economy in the short run and increase normal output in the long run. Others argued that they would raise interest rates and lower confidence and thereby reduce output in both the short run and the long run. That views of the effects of tax changes vary so radically largely reflects the fact that measuring these effects is very difficult. Tax changes occur for many reasons. Some legislated tax changes are passed for philosophical reasons or to reduce an inherited budget deficit. Others are passed because the economy is weak and predicted to fall further, or because a war is in progress and government spending is rising. And many tax changes are not legislated at all, but occur automatically because the tax base varies with the overall level of income, or because of changes in stock prices, inflation, and other nonpolicy forces. Because the factors that give rise to tax changes are often correlated with other developments in the economy, disentangling the effects of the tax changes from the effects of these underlying factors is inherently difficult. There is pervasive omitted variable bias in any regression of output on an aggregate measure of tax changes. This paper suggests one way of dealing with this omitted variable bias. There exists a vast narrative record describing the history and motivation of tax policy changes. We first use this narrative history to separate legislated tax changes from those arising from nonpolicy develop ments. We then use the information on motivation to separate the legislated tax changes into those that are likely to be contaminated by other developments affecting output, and those that can legitimately be used to measure the macroeconomic effects of tax changes. Finally, we use the legitimate observations to derive estimates of the effects of tax changes on output that are likely to be less biased than previous estimates. Section I of the paper elaborates on the conceptual framework for this study. It emphasizes that what we seek to identify from the narrative record are tax changes that are not systematically

Does Monetary Policy Matter? a New Test in the Spirit of Friedman and Schwartz

Abstract: This paper uses the historical record to isolate episodes in which there were large monetary disturbances not caused by output fluctuations. It then tests whether these monetary changes have important real effects. The central part of the paper is a study of postwar U.S. monetary history. We identify six episodes in which the Federal Reserve in effect decided to attempt to create a recession to reduce inflation. We find that a shift to anti-inflationary policy led, on average, to a rise in the unemployment rate of two percentage points, and that this effect is highly statistically significant and robust to a variety of changes in specification. We reach three other major conclusions. First, the real effects of these monetary disturbances are highly persistent. Second, the six shocks that we identify account for a considerable fraction of postwar economic fluctuations. And third, evidence from the interwar era also suggests that monetary disturbances have large real effects.

A New Measure of Monetary Shocks: Derivation and Implications

Abstract: Conventional measures of monetary policy, such as the federal funds rate, are surely influenced by forces other than monetary policy. More importantly, central banks adjust policy in response to a wide range of information about future economic developments. As a result, estimates of the effects of monetary policy derived using conventional measures will tend to be biased. To address this problem, we develop a new measure of monetary policy shocks in the United States for the period 1969 to 1996 that is relatively free of endogenous and anticipatory movements. The derivation of the new measure has two key elements. First, to address the problem of forward-looking behavior, we control for the Federal Reserve's forecasts of output and inflation prepared for scheduled FOMC meetings. We remove from our measure policy actions that are a systematic response to the Federal Reserve's anticipations of future developments. Second, to address the problem of endogeneity and to ensure that the forecasts capture the main information the Federal Reserve had at the times decisions were made, we consider only changes in the Federal Reserve's intentions for the federal funds rate around scheduled FOMC meetings. This series on intended changes is derived using information on the expected funds rate from the records of the Open Market Manager and information on intentions from the narrative records of FOMC meetings. The series covers the entire period for which forecasts are available, including times when the Federal Reserve was not exclusively targeting the funds rate. Estimates of the effects of monetary policy obtained using the new measure indicate that policy has large, relatively rapid, and statistically significant effects on both output and inflation. We find that the effects using the new measure are substantially stronger and quicker than those using prior measures. This suggests that previous measures of policy shocks are significantly contaminated by forward-looking Federal Reserve behavior and endogeneity.

Social Capital in the Creation of Human Capital

Abstract: In this paper, the concept of social capital is introduced and illustrated, its forms are described, the social structural conditions under which it arises are examined, and it is used in an analys...

Econometric Analysis of Cross Section and Panel Data

Abstract: The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

Finance and Growth: Schumpeter Might Be Right

Abstract: Joseph Schumpeter argued in 1911 that the services provided by financial intermediaries - mobilizing savings, evaluating projects, managing risk, monitoring managers, and facilitating transactions -stimulate technological innovation and economic development. The authors present evidence that supports this view. Examining a cross-section of about 80 countries for the period 1960-89, they find that various measures of financial development are strongly associated with both current and later rates of economic growth. Each measure has shortcomings but all tell the same story: finance matters. They present three main findings, which are robust to many specification tests: The average level of financial development for 1960-89 is very strongly associated with growth for the period. Financial development precedes growth. For example, financial depth in 1960 (the ratio of broad money to GDP) is positively and significantly related to real per capita GDP growth over the next 30 years even after controlling for a variety of country-specific characteristics and policy indicators. Financial development is positively associated with both investment rate and the efficiency with which economies use capital. Much work remains to be done, but the data are consistent with Schumpeter's view that the services provided by financial intermediaries stimulate long-run growth.

Financial Intermediation and Delegated Monitoring

Abstract: This paper develops a theory of financial intermediation based on minimizing the cost of monitoring information which is useful for resolving incentive problems between borrowers and lenders. It presents a characterization of the costs of providing incentives for delegated monitoring by a financial intermediary. Diversification within an intermediary serves to reduce these costs, even in a risk neutral economy. The paper presents some more general analysis of the effect of diversification on resolving incentive problems. In the environment assumed in the model, debt contracts with costly bankruptcy are shown to be optimal. The analysis has implications for the portfolio structure and capital structure of intermediaries.

Why Do Some Countries Produce so Much More Output Per Worker than Others

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.