PARTY AFFILIATION AND PUBLIC SPENDING: EVIDENCE FROM U.S. GOVERNORS

This paper investigates whether the party affiliation of governors (Democrat or Republican) has an impact on the allocation of state expenditures. Exploiting gubernatorial election results from 1960 to 2012 and a Regression Discontinuity Design (RDD), we find that Democratic governors allocate a larger share of their budget to health/hospitals and education sectors. We find no significant impact of the political party of governors on total spending, only on the allocation of funds. The results are robust to a wide range of controls and model specifications. (JEL D72, H75, H72)     

On the (sequential) majority choice of public good size and location

This article studies majority voting over the size and location of a public good when voters differ both in income and in their preferences for the public good location. Public good provision is financed either by a lump sum tax or by a proportional income tax. We analyze both the simultaneous and the sequential determinations of the public good’s size and location. We show that, while the choice of the type of public good follows the traditional median logic, the majoritarian determination of the taxation rate need not coincide with the preferences of a median income citizen. With lump sum financing, income heterogeneity plays no role and the sequential equilibrium consists of the median location together with the public good level most-preferred by the individual located at the median distance from the median. This policy bundle also constitutes an equilibrium with simultaneous voting in the special case of a uniform bivariate distribution of individuals’ income and location. With proportional taxation, there is no policy equilibrium with simultaneous voting. We offer a complete characterization of the equations describing the sequential equilibrium in the general case and we show why and how our results depart from those most-preferred by the median income individual located at the median distance from the median. We also compare these majority voting allocations with the socially optimal one.     

A distribution-sensitive examination of the gender wage gap in Germany

This paper provides a new examination of the gender pay gap for Germany based on a family of distribution-sensitive indicators. Wage distributions for men and women do not only differ by a fixed constant; differences are more complex. We show that focusing on the bottom of the wage distribution reveals a larger gender gap. Our distribution-sensitive analysis can also be used to study whether the statistical disadvantage of women in average pay might be ‘offset’ by lower inequality. Over a broad range of plausible preferences over inequality, we show however that ‘inequality-adjusted’ estimates of the gap can be up to three times higher than standard inequality-neutral measures in Eastern Germany and up to fifty percent higher in Western Germany. Using preference parameters elicited from a hypothetical risky investment question in our sample, inequality-adjusted gender gap measures turn out to be close to those upper bounds.     

On the Role of Outside Options in Bargaining with Obstinate Parties

The presence of obstinate types in bargaining has been shown to alter dramatically the bargaining equilibrium strategies and outcomes. This paper shows that outside options may cancel out the effect of obstinacy in bargaining. When parties have access to stationary outside options, we show that when opting out is preferable to accepting the inflexible demand of the other party, there is a unique Perfect Bayesian Equilibrium in which each party reveals himself as rational as soon as possible. A similar conclusion holds when outside options may only be available at a later date or when only one party has access to an outside option.     

One-sided synthetic control charts for monitoring the multivariate coefficient of variation

Shewhart's type control charts for monitoring the Multivariate Coefficient of Variation (MCV) have recently been proposed in order to monitor the relative variability compared with the mean. These approaches are known to be rather slow in the detection of small or moderate process shifts. In this paper, in order to improve the detection efficiency, two one-sided Synthetic charts for the MCV are proposed. A Markov chain method is used to evaluate the statistical performance of the proposed charts. Furthermore, computational experiments reveal that the proposed control charts outperform the Shewhart MCV control chart in terms of the average run length to detect an out-of-control state. Finally, the implementation of the proposed chart is illustrated with an example using steel sleeves data.     

WHERE ARE THE ECONOMISTS WHO PUBLISH? PUBLICATION CONCENTRATION AND RANKINGS IN EUROPE BASED ON CUMULATIVE PUBLICATIONS

We measure the past production of research articles by current members of European economics institutions. All EconLit journals are used, weighted to reflect differences in quality. Both a long (1971–2000) and a short (1996–2000) time period are considered. We also provide production indices that take into account the authors' career length. The total output of each research center is measured as well as its production per member. The focus is on 600 centers from eighteen European countries (EU 14, Israel, Norway, Switzerland, and Turkey). European centers are compared to the top sixty U.S. economics departments. Statistics regarding the concentration of article production across researchers, institutions, and countries are provided, as well as on publication habits. (JEL: A14, L11, R32)     

Solving hybrid flow shop problem using energetic reasoning and global operations

This paper shows that the use of satisfiability tests and time-bound adjustments based on energetic reasoning and global operations can enhance the efficiency of branch and bound procedures for optimally solving the hybrid flow shop scheduling problem. Procedures to use energetic reasoning and extended forms of global adjustment techniques are described and are empirically evaluated. Computational results show that the proposed approaches outperform the best known procedures to optimally solve the hybrid flow shop problem.