By documenting the evolution of Tobin's q before, during, and after firms internationalize, this paper provides evidence on the bonding, segmentation, and market-timing theories of internationalization. We find that Tobin's q does not rise after internationalization, even relative to domestic firms. Instead, q rises significantly before and during the internationalization year, but then falls sharply in the following year, quickly relinquishing the increases of the previous years. In decomposing these dynamics, we find that market capitalization rises before internationalization and remains high, while corporate assets increase during internationalization. The evidence supports the theory that financial internationalization facilitates corporate expansion, but challenges the theory that internationalization produces an enduring effect on q by bonding firms to a better corporate governance system.

Using the longest event window, we find that public target shareholders receive a 63% (14%) higher premium when the acquirer is a public firm rather than a private equity firm (private operating firm). The premium difference holds with the usual controls for deal and target characteristics, and it is highest (lowest) when acquisitions by private bidders are compared to acquisitions by public companies with low (high) managerial ownership. Further, the premium paid by public bidders (not private bidders) increases with target managerial and institutional ownership.

This paper investigates and compares the determinants of fund flows for socially responsible investment (SRI) funds and conventional funds. We consider the impact of current and past measures of monthly and annual return on fund flow. The results suggest SRI fund flows are less sensitive to returns than conventional funds. Our model also shows that flow is persistent and SRI investors are more likely to invest in a fund they already own relative to conventional investors. These results reflect the difficulty SRI investors face in finding alternative investments that meet their non-financial goals.

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We have developed Bayesian Markov chain Monte Carlo (MCMC) methods for inferences of continuous-time models with stochastic volatility and infinite-activity Lévy jumps using discretely sampled data. Simulation studies show that (i) our methods provide accurate joint identification of diffusion, stochastic volatility, and Lévy jumps, and (ii) the affine jump-diffusion (AJD) models fail to adequately approximate the behavior of infinite-activity jumps. In particular, the AJD models fail to capture the “infinitely many” small Lévy jumps, which are too big for Brownian motion to model and too small for compound Poisson process to capture. Empirical studies show that infinite-activity Lévy jumps are essential for modeling the S&P 500 index returns.

Researchers have increasingly realized the need to account for within-group dependence in estimating standard errors of regression parameter estimates. The usual solution is to calculate cluster-robust standard errors that permit heteroskedasticity and within-cluster error correlation, but presume that the number of clusters is large. Standard asymptotic tests can over-reject, however, with few (five to thirty) clusters. We investigate inference using cluster bootstrap-t procedures that provide asymptotic refinement. These procedures are evaluated using Monte Carlos, including the example of Bertrand, Duflo, and Mullainathan (2004). Rejection rates of 10% using standard methods can be reduced to the nominal size of 5% using our methods.

We report 28 new experiment sessions consisting of up to three experience levels to examine the robustness of learning and “error” elimination among participants in a laboratory asset market and its effect on price bubbles. Our answer to the title question is: “yes.” We impose a large increase in liquidity and dividend uncertainty to shock the environment of experienced subjects who have converged to equilibrium, and this treatment rekindles a bubble. However, in replications of that same challenging environment across three experience levels, we discover that the environment yields a rare residual tendency to bubble even in the third experience session. Therefore, a caveat must be placed on the effect of twice-experienced subjects in asset markets: in order for price bubbles to be extinguished, the environment in which the participants engage in exchange must be stationary and bounded by a range of parameters. Experience, including possible “error” elimination, is not robust to major new environment changes in determining the characteristics of a price bubble. (JEL C91, D83)

This paper presents a theory in which increases in female labor force participation and reductions in the gender‐wage gap are generated as part of a single process of demographic transition, initially characterized by reductions in mortality and fertility. The paper suggests a relationship between gains in life expectancy and changes in the role of women in society that has not been identified before in the literature. Mortality reductions affect the incentives of individuals to invest in human capital and to have children, with implications for female labor force participation and the wage differential between men and women. The paper also presents some empirical evidence to support the predictions of the theory.

Two separate streams of research find evidence that firms decrease R&D spending to meet earnings benchmarks and that the R&D tax credit increases R&D spending. However, these studies do not consider stock option exercises by R&D employees that likely influence R&D spending decisions because they increase R&D tax credits without reducing reported earnings. This study extends both areas of research by incorporating R&D tax credits from stock option exercises into the R&D spending decision. We find evidence that firms reduce R&D spending by 0.46 percent of total assets to avoid earnings decreases, but R&D tax credits generated by stock option exercises offset this decrease by 16 percent on average and up to 42 percent for a fully taxable firm. The results of this study suggest that the tax benefits of R&D-related stock option exercises are important considerations in studies that investigate myopic R&D investment and in studies that investigate the effect of the R&D tax credit on R&D spending.

We use a novel research design to empirically detect the effect of social interactions on labor market outcomes. Using Census data on residential and employment locations, we examine whether individuals residing in the same city block are more likely to work together than those in nearby blocks. We find evidence of significant social interactions. The estimated referral effect is stronger when individuals are similar in sociodemographic characteristics. These findings are robust across specifications intended to address sorting and reverse causation. Further, the increased availability of neighborhood referrals has a significant impact on a wide range of labor market outcomes. (c) 2008 by The University of Chicago. All rights reserved.