Conformity and Individuals’ Response to Information About Aggregate Turnout

Political Behavior - How do voters react to information about aggregate turnout? Do high turnout levels mobilize or discourage citizens to vote? We argue that it depends on individuals’...     

The practice and implications of legislative proxy voting in Ukraine

Governing parties often face the challenge of coordinating the behavior of legislators to pass bills and achieve their policy goals. Solutions to this collective action problem vary, but generally involve a combination of inducements and punishments to encourage legislators to toe the party line. “Ghost voting,” a form of proxy voting in which legislators record roll-call votes in place of their absent co-partisans has been noted over time in many representative institutions. This article addresses the process of proxy voting in Ukraine’s Verkhovna Rada, empirically demonstrating that proxy voting has been widespread and essential to the success of crucial legislation. At the same time, proxy voting creates impediments to measures of legislative unity and undermines accountability.     

The Dark Side of Social Capital Re-examined from a Policy Analysis Perspective: Networks of Trust and Corruption

Abstract

This work deepens the analysis of the “dark side” of social capital proposed by Alejandro Portes and Patricia Landlot and revisited by Peter Graeff. For this purpose, it combines the individualistic approach of economic theory with the social perspective of other social sciences to study the economics of corruption embedded in a social structure (a network of trust). It assesses the importance of social relations as a necessary condition to achieve corrupt objectives. To do so, a model of corrupt public contracts embedded in networks of trust is built. Theoretical evidence is found on the importance of networks of trust for the success of corrupt deals between officials and recipients. In addition, seeds are sown for future research and analysis of the role of institutions and monitoring agencies. Finally, the foundation is laid for research in the field of experimental economics to conduct an empirical examination of this proposed model and some policy implications are derived.     

Scientific Research on the Efficiency of Public Expenditures: How and Where is it Going?

ABSTRACT

Recent scientific research has advanced the measurement of the relative performance of organizations and the efficiency of public spending, based on analyzes of the services offered and results achieved. However, from the methodological point of view, there are several methods to analyze the performance and efficiency of spending in the private and public sectors. In this sense, the present study performs a systematic bibliometric review to analyze all scientific publications on the efficiency of public spending published in the last 20 years. The results show that most cost-efficiency analyzes have been limited to education and health expenditures and have used quantitative analysis, mainly through the application of data-involution analysis. The present review is a first step in mapping scientific publications on efficiency in public spending, which will support researchers and managers to make public spending more efficient.     

Fit bodies,strong races,modern nations

The Introductory Essay places the articles collected in the dossier within current debates on race, gender and nation. First, it examines the notion of “Latin” eugenics, both as a non-hereditarian approach to race improvement and a form of Fascist cultural diplomacy based on the export of Italian racial knowledge. Second, it explores the way in which the visual representation of women's bodies shaped the “eugenics gaze” of an idealized racial nation, as well as her racial “others”. Third, it analyses the racialization of immigration by looking at how dominant groups established eugenics preferences for certain foreigners based on popular assumptions of moral worth and physical strength.     

Local Labor Demand and Program Participation Dynamics: Evidence from New York SNAP Administrative Records

This study estimates the effect of local labor demand on the likelihood that Supplemental Nutrition Assistance Program (SNAP) beneficiaries are able to transition out of the program. Our data include SNAP administrative records from New York (2007 to 2012), linked at the person‐level to the 2010 Census, and linked at the county‐month‐level to industry‐specific labor market conditions. We find that local labor markets matter for the length of time spent on SNAP, but there is substantial heterogeneity in estimated effects across local industries. Using Bartik‐style instruments to isolate the effect of labor demand and controlling for the changing composition of entrants and program rules brought on by the Great Recession, we find that fluctuations in labor demand in industries with high shares of SNAP participants—especially food service and retail—change the likelihood of exiting the program. Notably, estimated industry effects vary across race and parental status, with black participants being most sensitive to changes in local labor market conditions and mothers benefiting less from growth in local labor demand than fathers and non‐parents. We confirm that our results are not driven by endogenous inter‐county mobility or New York City labor markets and are robust to multiple specifications.     

What to do with all these Bayes factors: How to make Bayesian reports in deception research more informative

Bayes factors quantify the evidence in support of the null (absence of an effect) or the alternative hypothesis (presence of an effect). Based on commonly used cut‐offs, Bayes factors between 1/3 and 3 are interpreted as evidentially weak, and one typically concludes there is an absence of evidence. In this commentary on Warmelink, Subramanian, Tkacheva, and McLatchie (Legal Criminol Psychol 24, 2019, 258), we discuss how a Bayesian report can be made more informative. Firstly, this implies a departure from the labels provided by commonly used cut‐offs when reporting Bayes factors. Instead, we encourage researchers to report the value of the Bayes factors, or to convert these values into nominal support for the hypotheses. Secondly, researchers can provide recommendations to design follow‐up studies by examining the posterior distribution of the magnitude of the effect size. Lastly, we show how individual Bayes factors can be evaluated in the context of large‐scale meta‐analyses.