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This study identifies the determinants of growth for male and female business ownership in a subset of U.S. counties. The results indicate that there are important characteristic and behavioral differences between the male and female populations in each county that affect regional changes in business ownership for each gender. In particular, the education level of males and females as well as the local family structure impact the propensity for firms owned by each gender differently. A Blinder-Oaxaca type decomposition, a novel approach in the context of regional outcomes, demonstrates that although the effect of characteristic differences is larger, the behavioral differences are key to narrowing the gender disparity in business ownership. ( JEL L26, R2, R3) [ABSTRACT FROM AUTHOR]

Has the progress of output convergence changed within the United States? This article examines the output convergence among U.S. states for the last five decades by making several improvements over the extant literature. By applying a battery of convergence tests designed to capture nonlinear transitional dynamics to real output per worker data (i.e., nominal values deflated by state-level price), we find that output convergence has not been a feature of the continental United States since the 1970s. Instead, output convergence has proceeded among four subgroups within which constituent states have certain characteristics in common. Our regression analysis suggests that state-level characteristics related to technology and human capital play a crucial role in accounting for the formation and composition of convergence clubs, in agreement with the recent theoretical models of growth and development (e.g., Aghion et al. 2009; Gennaioli et al. 2013b). The level of technology, proxied by patents, turns out to be a consistently significant determinant even after controlling for endogeneity, suggesting that frictions in the diffusion of technology and human capital may have led to clustering of states with different levels of productivity. Our results therefore cast doubt on the common view that diffusion of knowledge and technology across state borders is frictionless. ( JEL O47, O51) [ABSTRACT FROM AUTHOR]

Increased turnover among legislators can make them short-sighted, affecting fiscal policy and economic growth. We exploit the exogenous variation in legislative turnover induced by term limit laws and by redistricting in the 50 U.S. states, finding that increased turnover increases capital spending by state governments, which may be designed to constrain future governments. The changes may cause long-run distortions in the economy, reducing long-term economic growth. ( JEL H72, H73, H76) [ABSTRACT FROM AUTHOR]

Few studies explore the linkages between health behaviors and macroeconomic outcomes. This study uses 1971-2007 state-level data from the United States to estimate the impact of beer consumption on economic growth. We document that beer consumption has negative effects on economic growth measures once the endogeneity of beer consumption is addressed. Our estimates are robust to a range of specification checks. These findings run parallel to a large body of literature documenting substantial social and economic costs stemming from alcohol use. ( JEL I1, O4) [ABSTRACT FROM AUTHOR]

We argue that financial market development contributed to the rise in the skill premium and residual wage inequality in the United States since the 1980s. We present an endogenous growth model with imperfect credit markets and establish how improving the efficiency of these markets affects modes of production, innovation, and wage dispersion between skilled and unskilled workers. The experience of U.S. states following banking deregulation provides empirical support for our hypothesis. We find that wages of skilled workers increased by between 0.5% and 6.3% following deregulation while those of unskilled workers fell by between 3.5% and 8.7%. Similarly, residual (or within-group) inequality increased; the 90-50 percentile ratio of residuals from a Mincerian wage regression and their standard deviation increased by 4.2% and 1.7%, respectively. [ABSTRACT FROM AUTHOR]

We reconsider the out-of-sample forecasting ability of a large number of financial variables with respect to real output growth over the 1985:1-1999:4 period We show that models including financial variables display almost no forecasting ability relative to an autoregressive benchmark model over this period according to a mean squared forecast error metric. However, tests based on forecast encompassing indicate that many financial variables do, in fact, contain information that is useful for forecasting real output growth over the 1985:1-1999:4 out-of-sample period. Our results suggest that the extant literature exaggerates the demise of the forecasting power of financial variables with respect to real activity since the mid-1980s. [ABSTRACT FROM AUTHOR]