In this paper, we share our experience with merger simulations using a Random Coefficient Logit model on the demand side and assuming a static Bertrand game on the supply side. Drawing largely from our work in Knittel and Metaxoglou (2008), we show that different demand estimates obtained from different combinations of optimization algorithms and starting values lead to substantial differences in post-merger market outcomes using metrics such as industry profits, and change in consumer welfare and prices.

We reconsider the effect of very low birth weight classification on infant mortality. We demonstrate that the estimates are highly sensitive to the exclusion of observations in the immediate vicinity of the 1,500-g threshold, weakening the confidence in the results originally reported in Almond, Doyle, Kowalski, and Williams (2010).

This paper examines the role of women helping women in corporate America. Using a merged panel of directors and executives for large US corporations between 1997 and 2009, we find a positive association between the female share of the board of directors in the previous year and the female share among current top executives. The relationship's timing suggests that causality runs from boards to managers and not the reverse. This pattern of women helping women at the highest levels of firm leadership highlights the continued importance of a demand-side “glass ceiling” in explaining the slow progress of women in business.

A usual criticism of the theory of infinitely repeated games is that it does not provide sharp predictions since there may be a multiplicity of equilibria. To address this issue, we present experimental evidence on the evolution of cooperation in infinitely repeated prisoner's dilemma games as subjects gain experience. We show that cooperation may prevail in infinitely repeated games, but the conditions under which this occurs are more stringent than the subgame perfect conditions usually considered or even a condition based on risk dominance.

We propose a new, valuation-based measure of world equity market segmentation. While we observe decreased levels of segmentation in many countries, the level of segmentation remains significant in emerging markets. We characterize the factors that account for variation in market segmentation both through time as well as across countries. Both a country's regulation with respect to foreign capital flows and certain nonregulatory factors are important. In particular, we identify a country's political risk profile and its stock market development as two additional local segmentation factors as well as the U.S. corporate credit spread as a global segmentation factor.

Isoni, Loomes, and Sugden (2011) assert that Plott and Zeiler (2005) reported inaccurate results. Placing ILS's selective quotes into context demonstrates otherwise. Additionally, examining the data closely yields three conclusions. First, all mug data reject endowment effect theory. Second, lottery gaps are associated with unstable attitudes toward uncertainty, a finding consistent with PZ's (2005) lottery data description, explicit warnings about procedure limitations and the data supplement, which reports the lottery data and cautions. Third, lottery outcome beliefs are influenced by whether WTP or WTA is reported, suggesting that changing beliefs, as opposed to the shape of preferences, produce lottery gaps.

In Project STAR, 11,571 students in Tennessee and their teachers were randomly assigned to classrooms within their schools from kindergarten to third grade. This article evaluates the long-term impacts of STAR by linking the experimental data to administrative records. We first demonstrate that kindergarten test scores are highly correlated with outcomes such as earnings at age 27, college attendance, home ownership, and retirement savings. We then document four sets of experimental impacts. First, students in small classes are significantly more likely to attend college and exhibit improvements on other outcomes. Class size does not have a significant effect on earnings at age 27, but this effect is imprecisely estimated. Second, students who had a more experienced teacher in kindergarten have higher earnings. Third, an analysis of variance reveals significant classroom effects on earnings. Students who were randomly assigned to higher quality classrooms in grades K–3—as measured by classmates' end-of-class test scores—have higher earnings, college attendance rates, and other outcomes. Finally, the effects of class quality fade out on test scores in later grades, but gains in noncognitive measures persist.

We examine market behavior of the stock and option markets upon the arrival of noisy information in the form of CNBC’s Mad Money recommendations. If stock and option markets are not equally efficient, they should respond differently to noisy information, with the less efficient market more susceptible to noise. We find that the stock market is less efficient than the option market. The abnormal difference between option-implied and actual stock returns is negative and significant upon exposure to noisy information. This difference may yield an economically significant monthly trading profit of up to 5%. We conclude that the stock market is more susceptible to noisy information than the option market and is therefore less efficient.

We examine the effect of corporate social responsibility (CSR) on the cost of equity capital for a large sample of US firms. Using several approaches to estimate firms’ ex ante cost of equity, we find that firms with better CSR scores exhibit cheaper equity financing. In particular, our findings suggest that investment in improving responsible employee relations, environmental policies, and product strategies contributes substantially to reducing firms’ cost of equity. Our results also show that participation in two “sin” industries, namely, tobacco and nuclear power, increases firms’ cost of equity. These findings support arguments in the literature that firms with socially responsible practices have higher valuation and lower risk.