Knowledge that Transforms

The short-run effects of fiscal policy depend not only on current tax and spending choices, but also on expectations about future policy adjustment. While general equilibrium models typically restrict medium-term adjustment to taxation, we highlight the importance of government spending dynamics. First, we provide time series evidence for the United States suggesting that an exogenous increase in government spending prompts a rise in public debt, followed over time by a reduction in spending below trend. Second, we show how expected spending reversals alter the short-run impact of fiscal policy in a new Keynesian model, bringing it closer in line with the evidence.

The capital structure of lending institutions has become an increasingly prominent issue in the world of finance. Contemporaneously, microfinance institutions (MFIs) have risen to the forefront as invaluable lending institutions in the development process. Since capital constraints have hindered the expansion of microfinance programs and microfinance organizations have had various degrees of sustainability, the question of how best to finance these organizations is a key issue. This paper explores how changes in capital structure could improve MFI efficiency and financial sustainability. I find causal evidence supporting the assertion that increased use of grants by large MFIs decreases operational self-sufficiency.

This paper examines the determinants of the choice of the college major when the length of studies and future earnings are uncertain. We estimate a three-stage schooling decision model, focusing on the effect of expected earnings on major choice. We control for dynamic selection through the use of mixture distributions. Exploiting variations across the French business cycle in the relative returns to the majors, our results yield a very low, though significant, elasticity of major choice to expected earnings. This suggests that at least for the French university context, nonpecuniary factors are a key determinant of schooling choices.

We develop a framework to empirically examine how politicians with electoral pressures control bureaucrats with career concerns and the consequent implications for bureaucrats' career investments. Unique microlevel data on Indian bureaucrats support our key predictions. Politicians use frequent reassignments (transfers) across posts of varying importance to control bureaucrats. High-skilled bureaucrats face less frequent political transfers and lower variability in the importance of their posts. We find evidence of two alternative paths to career success: officers of higher initial ability are more likely to invest in skill, but caste affinity to the politician's party base also helps secure important positions.

Model uncertainty hampers consensus on the key determinants of economic growth. Some recent cross-country cross-sectional analyses have employed Bayesian model averaging to tackle the issue of model uncertainty. This paper extends that approach to panel data models with country-specific fixed effects in order to simultaneously address model uncertainty and endogeneity issues. The empirical findings suggest that in a panel setting, the most robust growth determinants are the price of investment goods, distance to major world cities, and political rights.

The business cycle is a fundamental yet elusive concept in macroeconomics. In this paper, we consider the problem of measuring the business cycle. First, we argue for the output-gap view that the business cycle corresponds to transitory deviations in economic activity away from a permanent, or trend, level. Then we investigate the extent to which a general model-based approach to estimating trend and cycle for the U.S. economy leads to measures of the business cycle that reflect models versus the data. We find empirical support for a nonlinear time series model that produces a business cycle measure with an asymmetric shape across NBER expansion and recession phases. Specifically, this business cycle measure suggests that recessions are periods of relatively large and negative transitory fluctuations in output. However, several close competitors to the nonlinear model produce business cycle measures of widely differing shapes and magnitudes. Given this model-based uncertainty, we construct a model-averaged measure of the business cycle. This measure also displays an asymmetric shape and is closely related to other measures of economic slack such as the unemployment rate and capacity utilization.

The Panzar-Rosse test has been widely applied to assess competitive conduct, often in specifications controlling for firm scale or using a price equation. We show that neither a price equation nor a scaled revenue function yields a valid measure for competitive conduct. Moreover, even an unscaled revenue function generally requires additional information about costs and market equilibrium to infer the degree of competition. Our theoretical findings are confirmed by an empirical analysis of competition in banking, using a sample containing more than 100,000 bank-year observations on more than 17,000 banks in 63 countries during the years 1994 to 2004.

This study presents evidence suggesting that attracting foreign direct investment (FDI) offers potential for raising the quality of exports in developing countries. Our analysis relates unit values of exports at the four-digit SITC level to data on sectors treated by investment promotion agencies as a priority in their efforts to attract FDI. The sample covers 105 countries from 1984 to 2000. The findings are consistent with a positive effect of FDI on unit values of exports in developing countries. The evidence for high-income economies is ambiguous. There is no indication that FDI increases the similarity of export structure of developing and developed economies.

I estimate the effects of affirmative action bans on college enrollment, educational attainment, and college demographic composition by exploiting time and state variation in bans. I find that bans have no effect on the typical student and the typical college, but they decrease underrepresented minority enrollment and increase white enrollment at selective colleges. In addition, I use the case study methods of Abadie and Gardeazabal (2003) and Abadie, Diamond, and Hainmueller (2010) and find that the affirmative action ban in California shifted underrepresented minority students from more selective campuses to less selective ones at the University of California.

Dealing with endogenous regressors is a central challenge of applied research. The standard solution is to use instrumental variables that are assumed to be uncorrelated with unobservables. We instead assume (i) the correlation between the instrument and the error term has the same sign as the correlation between the endogenous regressor and the error term, and (ii) that the instrument is less correlated with the error term than is the endogenous regressor. Using these assumptions, we derive analytic bounds for the parameters. We demonstrate the method in two applications.