Unemployment Insurance Generosity: A Trans-Atlantic Comparison

The goal of this paper is to establish if unemployment insurance policies are more generous in Europe than in the United States, and by how much. We take the examples of France and one particular American state, Ohio, and use the methodology of Pallage, Scruggs and Zimmermann (2008) to find a unique parameter value for each region that fully characterizes the generosity of the system. These two values can then be used in structural models that compare the regions, for example to explain the differences in unemployment rates.

Input Aggregation in Models of Data Envelopment Analysis: A Statistical Test with an Application to Indian Manufacturing

A problem frequently encountered in Data Envelopment Analysis (DEA) is that the total number of inputs and outputs included tend to be too many relative to the sample size. One way to counter this problem is to combine several inputs (or outputs) into (meaningful) aggregate variables reducing thereby the dimension of the input (or output) vector. A direct effect of input aggregation is to reduce the number of constraints. This, in its turn, alters the optimal value of the objective function. In this paper, we show how a statistical test proposed by Banker (1993) may be applied to test the validity of a specific way of aggregating several inputs. An empirical application using data from Indian manufacturing for the year 2002-03 is included as an example of the proposed test.