By applying a stochastic production frontier approach to the matching process of unemployed and vacancies, this paper provides novel detailed insights into the process of job creation. For different labor markets as defined by occupation and region, the methodology produces estimates of the...

We evaluate the determinants of matching efficiency changes through a stochastic Cobb- Douglas production frontier model extended to allow the efficiency coefficient to depend on variables meant to capture workers and firms characteristics. We apply this methodology to examine regional...

Using a stochastic frontier approach this paper evaluates the effects of substantial changes in the teaching material on students learning efficiency. The results indicate that the main effects of the re-organization on the learning efficiency was a decreasing importance of students' attendance...

While classical measurement error in the dependent variable in a linear regression framework results only in a loss of precision, non-classical measurement error can lead to estimates which are biased and inference which lacks power. Here, we consider a particular type of non-classical...

This paper examines the econometric causal model for policy analysis developed by the seminal ideas of Ragnar Frisch and Trygve Haavelmo. We compare the econometric causal model with two popular causal frameworks: Neyman-Holland causal model and the do-calculus. The Neyman-Holland causal model...

Using normalized regression equations, we propose an alternative estimator of industrial gender wage gaps which is identified in the sense that it is invariant to the choice of an unobserved non-discriminatory wage structure, and to the choice of the reference groups of any categorical...