Although firms may face radically different production conditions, this dimension of firm heterogeneity is often overlooked. We model input demand across local factor markets, explicitly considering search costs which explain why firms care about both the price and availability of inputs. The...

We build and estimate a non-stationary structural job search model that incorporates the main stylized features of a typical job search monitoring scheme in unemployment insurance (UI) and acknowledges that search effort and requirements are measured imperfectly. Based on Belgian data,...

This paper identifies technical conditions that are common in contract-theory models or that matter for dynamic structural models but not necessarily static structural models. When possible, tests for the conditions are provided as well. Conditions include the Spence-Mirrlees condition,...

We structurally estimate an equilibrium search model using German administrative data and use this for counterfactual analyses of a uniform minimum wage. The model with worker and firm heterogeneity does not restrict the sign of employment effects a priori and allows for different job offer...

The distribution of unemployment duration in our equilibrium matching model with spell-dependent unemployment benefits displays a time-varying exit rate. Building on Semi-Markov processes, we translate these exit rates into an expression for the aggregate unemployment rate. Structural estimation...

We develop and estimate a non-stationary job search model to evaluate a scheme that monitors job search effort and sanctions insured unemployed whose effort is deemed insufficient. The model reveals that such schemes provide incentives to the unemployed to front-load search effort prior to...

One of the leading methods of estimating the structural parameters of DSGE models is the VAR-based impulse response matching estimator. The existing asymptotic theory for this estimator does not cover situations in which the number of impulse response parameters exceeds the number of VAR model...

We study the capacity to meet food demand under conditions of climate change, economic and population growth. We take a novel approach to quantifying climate impacts, based on a model of the global economy structurally estimated on the period 1960 to 2015. The model integrates several features...

We postulate a nonlinear DSGE model with a financial sector and heterogeneous households. In our model, the interaction between the supply of bonds by the financial sector and the precautionary demand for bonds by households produces significant endogenous aggregate risk. This risk induces an...