In this paper we analyze the pattern of employment adjustment using a rich panel of Norwegian plants. The data suggest that the frequency of episodes of zero net employment changes is inversely related to plant size. We develop and estimate a simple "q" model of labor demand, allowing for the...

This paper investigates to what extent a New Keynesian, monetary model with the addition of a microfounded, non-Walrasian labor market based on union bargaining is able to replicate key aspects of the European business cycle. The presence of a representative union permits to explain two features...

We estimate a search-based real business cycle economy using quantity data and a broad set of wage indicators, allowing the latent wage to follow a non-structural ARMA process. Under the estimated process, wages adjust immediately to most shocks and induce substantial variation in labor's share...

We characterize efficient allocations and cyclical fluctuations in a labor selection model. Potential new hires are heterogenous in the cross-section in their degree of training costs. In a calibrated version of the model that identifies costly selection with micro-level data on training costs,...

Nominal wage stickiness is an important component of recent medium-scale structural macroeconomic models, but to date there has been little microeconomic evidence supporting the as- sumption of sluggish nominal wage adjustment. We present evidence on the frequency of nominal wage adjustment...

The paper presents a model that can explain how regional differences emerge in a country as a consequence of foreign trade. The model is based on the widely used increasing returns/transportation costs framework. In addition to the conventional elements, heterogeneous households and imperfect...

This paper is concerned with developing a semiparametric panel model to explain the trend in UK temperatures and other weather outcomes over the last century. We work with the monthly averaged maximum and minimum temperatures observed at the twenty six Meteorological Office stations. The data is...

We consider estimation of means of functions that are scaled by an unknown density, or equivalently, integrals of conditional expectations. The "ordered data" estimator we provide is root n consistent, asymptotically normal, and is numerically extremely simple, involving little more than...

We give two new approaches to testing a conditional form of exogeneity. This condition ensures unconfoundedness and identification of effects of interest in structural systems. As these approaches do not rely on the absence of causal effects of treatment under the null, they complement earlier...

Conditional quantile estimation is an essential ingredient in modern risk management. Although GARCH processes have proven highly successful in modeling financial data it is generally recognized that it would be useful to consider a broader class of processes capable of representing more...