In this paper, we extend the basic Mortensen-Pissarides search and matching model along two dimensions. First, we allow for ex-ante heterogeneity between workers. Second, two technology shocks, neutral and investment-specific, are the driving forces of the economy. Specifically, we integrate the framework of Krusell, Ohanian, Ríos-Rull, and Violante (2000)- a production function with capital-skill complementarity and two skill-groups- into a business-cycle search and matching model. We calibrate the model extending the approach in Hagedorn and Manovskii (2006) and find that the model accounts well for the cyclical behavior of labor market variables in the aggregate and for each demographic group. We show that the response of unemployment to changes in taxes or unemployment insurance benefits is substantially reduced in the model with worker heterogeneity.

This paper describes a programming environment for economic equilibrium analysis. The system introduces the Mathematical Programming System for General Equilibrium analysis (MPSGE, Rutherford 1987) within the Generalized Algebraic Modelling System (GAMS, Brooke, Kendrick and Meeraus (1988

We describe the functional and architectural breakdown of a monocular pedestrian detection system. We describe in detail our approach for single-frame classification based on a novel scheme of breaking down the class variability by repeatedly training a set of relatively simple classifiers

In this paper we provide an algorithm for estimating characteristic based demand models from alternative data sources, and apply it to new data on the market for passenger vehicles. We find that, provided care is taken in constructing the demand system and rich enough data are available

homologs in eukaryotes, prokaryotes, and viruses. Findings. We have cloned and analyzed the E. coli protein elaD, which is distantly related to eukaryotic CE clan members of the ULP/SENP protease family that are specific for SUMO and Nedd8. Previously misannotated as a putative sulfatase/phosphatase, ela

Abstract—Developing on-board automotive driver assistance systems aiming to alert drivers about driving environments, and possible collision with other vehicles has attracted a lot of attention lately. In these systems, robust and reliable vehicle detection is a critical step. This paper presents a

Research article

Between 1991 and 1997 West Germany spent on average about 3.6 bn Euro per year on public sector sponsored training programmes for the unemployed. We base our empirical analysis on a new administrative data base that plausibly allows for selectivity correction by microeconometric matching methods

cameras, and an-other dataset captured by a MoCap system. The experimen-tal evaluations show that the proposed approach achieves superior performance to the state of the art algorithms. 1.

be endogenous to job choice. © 2005 by the Association for Public Policy Analysis and Management