A Bayesian Bioeconometric Model of Invasive Species Control: The Case of the Hemlock Woolly Adelgid

In this article we evaluate a US Forest Service plan to mitigate damages from an invasive insect on public, forested land. We develop a dynamic model of infestation and control to explicitly account for biological interactions, baseline conditions, and uncertainty, thus creating a more complete picture of policy impacts than a static cost benefit analysis could provide. We combine the results of the dynamic model with an empirical study of nonmarket forest benefits to create a bioeconomic model of ecosystem management. Estimating the empirical model in a Bayesian framework allows us to treat the economic coefficients of the dynamic model as random variables. We specify distributions for the biological parameters and examine the effects of both biological and economic uncertainty on the predictive distribution of net benefits. We find that the net benefits of the program are positive, and that uncertainty in the biological model contributes substantially more to the variance of our estimate than does uncertainty over the valuation of the resource.     

Competition in taxes and performance requirements for foreign direct investment

Tax incentives offered to attract firms engaged in foreign direct investment are often tied to performance requirements such as domestic content restrictions or adherence to environmental standards. The tax competition literature has repeatedly shown that competition between municipalities for mobile firms tends to drive taxes to low levels. One would expect a comparable result for burdensome performance requirements. Despite this, the evidence suggests that while taxes have indeed been driven down, performance requirements are as popular as ever. We explain this seeming conundrum by showing that in the presence of spillovers, binding performance requirements can act as a coordination device for firms. In equilibrium, municipalities choose performance requirements, which maximize joint surplus from investment. Competition between municipalities then transfers this surplus to firms via tax subsidies.     

New Evidence on Gay and Lesbian Household Incomes

Using independent data from the Centers for Disease Control, the author tests a key assumption of previous research on gay and lesbian incomes: that same-sex unmarried partner households are, indeed, gay or lesbian. The author shows that this independent data suffers from less severe underreporting of same-sex unmarried partner households than the 1990 Decennial Census. Furthermore, individual level information on sexual behavior and family planning is used to show that these households exhibit sexual behavior that is systematically different from married and different-sex couples and that is consistent with a large body of public health and HIV literature on gay men and lesbians. Finally, the author replicates, confirms, and extends previously published Census-based results on the household income penalty faced by gay male couples, showing that these results are not an artifact of deficient data. He finds similar results for lesbian couples. (JEL J1 , J3 )     

Does institutional quality resolve the Lucas Paradox?

The Lucas Paradox observes that capital flows predominantly to relatively rich countries, contradicting the neoclassical prediction that it should flow to poorer capital-scarce countries. In an influential study, Alfaro, Kalemli-Ozcan, and Volosovych (AKV) argue that cross-country variation in institutional quality can fully explain the Paradox, contending that if institutional quality is included in regression models explaining international capital inflows, a country’s level of economic development is no longer statistically significant. We replicate AKV’s results using their cross-sectional IFS capital flow data. Motivated by the importance of conducting inference in statistically adequate models, we focus on misspecification testing of alternative functional forms of their empirical model of capital flows. We show that their resolution of the Paradox relies on inference in a misspecified model. In models that do not fail basic misspecification tests, even though institutional quality is a significant determinant of capital inflows, a country’s level of economic development also remains a significant predictor. The same conclusions are reached using an extended dataset covering more recent IFS international capital flow data, first-differenced capital stock data and additional controls.     

The effect of political volatility on capital markets in EU accession and neighborhood countries

Political instability has the potential to disrupt financial markets. But how do political institutions affect financial movements in an environment where all institutions are in flux? This paper looks at the effects of formal and informal political volatility in the new EU countries of central and eastern Europe, in the Eastern Neighborhood, and farther afield in Central Asia to answer this question. Using asymmetric GARCH modeling on monthly data, I find that informal political volatility has a significant negative effect on stock returns, while formal political institutions generate much higher financial volatility than changes in monetary policy.     

Merger Speculation in Financial Media: The Valuation of Investigative Reporting

The authors study abnormal returns and volume in the days surrounding takeover speculation by financial media. Significantly positive price and volume responses 2 days after publication are observed. While most of this effect dissipates shortly thereafter, some excess returns remain impounded into the stock price. A study of the ex post takeover probabilities suggests that a positive response is justified, as takeover probabilities for such firms subsequently increase. This evidence is consistent with the idea that financial media speculation can facilitate the release of useful private information to shareholders. However, significantly positive excess returns and volume in the few days before publication also suggests that certain shareholders may benefit disproportionately.     

Misjudging the character of the welfare state: Hayek,generality, and the knowledge problem

What are the limits of collective action? As James Buchanan famously worried, is it possible to empower the productive state without lapsing into the predatory state? This paper uses insights from F.A. Hayek to address problems of public goods and the role of the state. Hayek convincingly argued that no central planner has sufficient knowledge to run an economy. Yet Hayek also allowed for state provision of some goods beyond the prevention of coercion. The question, then, is whether Hayek’s safeguards offer a satisfactory response to Buchanan’s worry. This paper contends that Hayek violated his own conditions for permissible government activity. Nevertheless, he offers a serious research agenda for limiting state abuses.     

Technological development at the boundaries of the firm: a knowledge‐based examination in drug development

This paper examines how the knowledge‐based view (KBV) can be applied to firm boundary decisions and the performance implications of those decisions. At the center of the paper is a theoretical and empirical examination of how firms most efficiently organize for technological development. We find that distinct organization approaches are advantaged in the speed of technological development depending on the structure of technological development problems and the depth of firms' technological area experience. We make theoretical and empirical contributions to KBV research that examines knowledge development and transfer. Drug development in the pharmaceutical industry serves as our empirical setting. Copyright © 2012 John Wiley & Sons, Ltd.     

Time and process in business network research

This Special Issue of Industrial Marketing Management brings together a range of articles by authors who have undertaken the difficult task of researching time and process in business networks. Understanding interaction processes within a business relationship and network perspective requires the elaboration of time, the central construct by which humans grasp and comprehend change. As an introduction to the articles we present the concept of human time and delineate accordingly three methodological approaches available for the study of network processes. We also introduce the authors' contributions to the special issue that broadly divide into two groups: those that deal with methodological issues concerning the study of processes in business networks and those that consider the role of time and timing for studying business processes.