Optimal taxation with joint production of agriculture and rural amenities

We show that, when there is joint production of an agricultural good and rural amenities, the first-best allocation of resources can be implemented with a tax on the agricultural good and some subsidies on the production factors (land and labor). The use of a subsidy on the agricultural good can only be explained by the desire of the policymaker to redistribute income from the consumers to the farmers.     

NUSAP: a method to evaluate the quality of assumptions in quantitative microbial risk assessment

The Numeral Unit Spread Assessment Pedigree (NUSAP) system was implemented to evaluate assumptions in a quantitative microbial risk assessment (QMRA) model for Salmonella spp. in minced pork meat. This QMRA model allows the testing of mitigation strategies for the reduction of human salmonellosis and aims to serve as a basis for science‐based policy making. The NUSAP method was used to assess the subjective component of assumptions in the QMRA model by a set of four pedigree criteria: ‘the influence of situational limitations’, ‘plausibility’, ‘choice space’ and ‘the agreement among peers’. After identifying 13 key assumptions relevant for the QMRA model, a workshop was organized to assess the importance of these assumptions on the output of the QMRA. The quality of the assumptions was visualized using diagnostic and kite diagrams. The diagnostic diagram pinpointed assumptions with a high degree of subjectivity and a high ‘expected influence on the model results’ score. Examples of those assumptions that should be dealt with care are the assumptions regarding the concentration of Salmonella on the pig carcass at the beginning of the slaughter process and the assumptions related to the Salmonella prevalence in the slaughter process. The kite diagrams allowed a clear overview of the pedigree scores for each assumption as well as a representation of expert (dis)agreement. The evaluation of the assumptions using the NUSAP system enhanced the debate on the uncertainty and its communication in the results of a QMRA model. It highlighted the model’s strong and weak points and was helpful for redesigning critical modules. Since the evaluation of assumptions allows a more critical approach of the QMRA process, it is useful for policy makers as it aims to increase the transparency and acceptance of management decisions based on a QMRA model.     

Antecedents and outcomes of bifurcated compensation in family firms: A multilevel view

Through a multilevel view, this article challenges the dominant assumption in the literature suggesting that family employees will receive more compensation than their non-family peers, which will violate the latter group justice perceptions and will lead them to lower their inputs to retrieve equity. We start by discussing how competing socioemotional priorities combine with the degree of collectivism at the societal level to affect which group will bifurcated compensation favor. We suggest that embeddedness in a collectivist culture will generate a strong desire and a moral obligation to cater to the financial well-being of family members, hence leading to bifurcated compensation favoring family employees. In individualist cultures, however, the family will accord high importance to achieving family prominence, which leads to bifurcated compensation favoring non-family employees. Moving forward, we discuss how nepotism types shape the effect of bifurcated compensation on the under-privileged group work inputs and how this relationship is moderated by the extent of power distance embedded in society. Theoretical and empirical implications are discussed at the end of the paper.     

Boolean comparative analysis of qualitative data

This paper explores the use of Boolean logic in the analysis of qualitative data, especially on the basis of so-called process theories. Process theories treat independent variables as necessary conditions which are binary rather than variable in nature, while the dependent variable is a final cause. In this respect, Boolean comparison appears to be a rigorous method for testing process theories on the basis of qualitative evidence, for example, from case studies. It is argued that Boolean logic may compensate for some of the weaknesses of the conventional approach to process studies — going back to Stuart Mill's (1843) system of logic — by systematically comparing observations without forsaking complexity too much. In addition, Boolean logic systematically structures the kind of interpretive dialogue between theory and evidence typically found in qualitative research. Finally, a procedure for using Boolean analysis is outlined. This procedure involves systematic attempts to falsify and identify hypotheses on the basis of truth tables constructed from qualitative data.     

Factor‐Based Identification‐Robust Interference in IV Regressions

Robust methods for instrumental variable inference have received considerable attention recently. Their analysis has raised a variety of problematic issues such as size/power trade‐offs resulting from weak or many instruments. We show that information reduction methods provide a useful and practical solution to this and related problems. Formally, we propose factor‐based modifications to three popular weak‐instrument‐robust statistics, and illustrate their validity asymptotically and in finite samples. Results are derived using asymptotic settings that are commonly used in both the factor and weak‐instrument literature. For the Anderson–Rubin statistic, we also provide analytical finite‐sample results that do not require any underlying factor structure. An illustrative Monte Carlo study reveals the following. Factor‐based tests control size regardless of instruments and factor quality. All factor‐based tests are systematically more powerful than standard counterparts. With informative instruments and in contrast to standard tests: (i) power of factor‐based tests is not affected by k even when large; and (ii) weak factor structure does not cost power. An empirical study on a New Keynesian macroeconomic model suggests that our factor‐based methods can bridge a number of gaps between structural and statistical modeling. Copyright © 2015 John Wiley & Sons, Ltd.     

Buying cooperation in an asymmetric environmental differential game

We consider a two-player asymmetric differential game of pollution control. One player is non-vulnerable to pollution, or unwilling to consider damages when choosing her production policy in a non-cooperative game. We characterize the feedback-Nash equilibrium and the cooperative solution. We establish conditions under which the vulnerable player can buy the cooperation of the non-vulnerable player to control her emissions. We further use the Nash bargaining solution to allocate the total cooperative dividend between the two players and propose a time-consistent decomposition overtime of the total payoff.