Risk Arbitrage in Takeovers

This article studies the role of risk arbitrageurs in takeoversand the source of their advantage. We show how the presenceof arbitrageurs affects the value of the target shares, sincearbitrageurs are more likely to tender. Therefore an arbitrageurhas the informational advantage of knowing he bought shares.In equilibrium, the number of arbitrageurs buying shares andthe price they pay are determined endogenously. We also presentseveral empirical implications, including the relationship amongtrading volume, takeover premium, liquidity of the shares, andthe number of risk arbitrageurs investing in one particulardeal.     

Partial identification of probability distributions with misclassified data

This paper addresses the problem of data errors in discrete variables. When data errors occur, the observed variable is a misclassified version of the variable of interest, whose distribution is not identified. Inferential problems caused by data errors have been conceptualized through convolution and mixture models. This paper introduces the direct misclassification approach. The approach is based on the observation that in the presence of classification errors, the relation between the distribution of the ‘true’ but unobservable variable and its misclassified representation is given by a linear system of simultaneous equations, in which the coefficient matrix is the matrix of misclassification probabilities. Formalizing the problem in these terms allows one to incorporate any prior information into the analysis through sets of restrictions on the matrix of misclassification probabilities. Such information can have strong identifying power. The direct misclassification approach fully exploits it to derive identification regions for any real functional of the distribution of interest. A method for estimating the identification regions and construct their confidence sets is given, and illustrated with an empirical analysis of the distribution of pension plan types using data from the Health and Retirement Study.     

Reference group influence on binary choices dynamics

The recent literature has analyzed binary choices dynamics providing interesting results. Most of these contributions consider interactions within a single group. Nevertheless, in some situations the interaction takes place not only within a single group but also between different groups. In this paper, we investigate the choice dynamics when considering two populations where one serves as a reference group. Considering this influence effect enriches the dynamics. Although the structurally stable resulting dynamics are attracting cycles only, with any positive integer period, the reference group makes the dynamics of the influenced population much more complex. We considered both the possibility that the reference group has the same or the opposite attitude toward the distribution over the choices. We show how the dynamics and the bifurcation structure are modified under the influence of the reference group. Our results illustrate how the propensity to switch choices in the reference groups may, indirectly, affect choices in the first group.     

Racial Harassment,Ethnic Concentration,and Economic Conditions*

In this paper, we analyse the association between the spatial concentration of ethnic minorities and racial harassment. Ethnic concentration relates to racial harassment through at least three channels: hostility in the attitudes of majority individuals that finds expression in harassment behaviour, the probability that minority individuals meet majority individuals, and the cost of expressing hostility aggressively. Thus, harassment cannot simply be modelled as a stronger form of hostility. Using unique data for Britain, we show that, in areas of higher local ethnic concentration, experience of harassment is lower, even though hostility on the side of the majority population is not.     

Integer programming on domains containing inseparable ordered pairs

Using the integer programming approach introduced by Sethuraman et al. (2003), we extend the analysis of the preference domains containing an inseparable ordered pair, initiated by Kalai and Ritz (1978). We show that these domains admit not only Arrovian social welfare functions “without ties,” but also Arrovian social welfare functions “with ties,” since they satisfy the strictly decomposability condition introduced by Busetto et al. (2015). Moreover, we go further in the comparison between Kalai and Ritz (1978)’s inseparability and Arrow (1963)’s single-peak restrictions, showing that the former condition is more “respectable,” in the sense of Muller and Satterthwaite (1985).     

Remittances to Latin America from migrants in the United States: Assessing the impact of amnesty programs

The magnitude of remittance flows to Latin America exceeds the combined inflows of foreign direct investment and official development assistance to the region. Since the United States is the destination country of the vast majority of migrants from Mexico, as well as from other Latin American countries, U.S. immigration policy can have a significant impact on the volume of remittances to the Latin American region. This paper studies how a generalized amnesty — a provision in the 1986 Immigration Reform and Control Act (IRCA) — affected immigrants' remitting patterns. In models that control for immigrants' length of residence in the United States and for economic conditions in both the U.S. state of residence and the country of origin, we estimate substantial post-legalization drops in remittances sent home by Mexican-born migrants who legalized through IRCA. Given the potential positive impact of remittances on investment levels, entrepreneurship rates and the development of the financial sector, this finding underscores the importance of gaining a better understanding of the impact that immigration policies in immigrant-receiving countries may have on the stream of remittance flows to immigrant-sending communities in developing regions.     

Do data policy restrictions impact the productivity performance of firms and industries?

This paper examines how policies regulating the cross‐border movement and domestic use of electronic data on the internet impact the productivity of firms in sectors relying on electronic data. In doing so, we collect regulatory information on a group of developed economies and create an index that measures the regulatory restrictiveness of each country's data policies. The index is based on observable policy measures that explicitly inhibit the cross‐border movement and domestic use of data. Using cross‐country firm‐level and industry‐level data, we analyse econometrically the extent to which these data regulations over time impact the productivity performance of downstream firms and industries, respectively. We show that stricter data policies have a negative and significant impact on the performance of downstream firms in sectors reliant on electronic data. This adverse effect is stronger for countries with strong technology networks, for servicified firms, and holds for several robustness checks.     

Executive Gender Pay Gaps: The Roles of Female Risk Aversion and Board Representation

Using a large sample of executives in S&P 1500 firms over 1996–2010, we document significant salary and total compensation gaps between female and male executives and explore two possible explanations for the gaps. We find support for greater female risk aversion as one contributing factor. Female executives hold significantly lower equity incentives and demand larger salary premiums for bearing a given level of compensation risk. These results suggest that females’ risk aversion contributes to the observed lower pay levels through its effect on ex ante compensation structures. We also find evidence that the lack of gender diversity on corporate boards affects the size of the gaps. In firms with a higher proportion of female directors on the board, the gaps in salary and total pay levels are lower. Together, these findings suggest that female higher risk aversion may act as a barrier to full pay convergence, despite the mitigating effect from greater gender diversity on the board.