This paper shows that we can normalize job and worker characteristics so that, without frictions,there exists a linear relationship between wages on the one hand and worker and job type indiceson the other. However, for five European countries and the United States we find strong evidencefor a...

Do people move to cities because of marriage market considerations? In citiessingles can meet more potential partners than in rural areas. Singles are thereforeprepared to pay a premium in terms of higher housing prices. Once married, themarriage market benefits disappear while the housing...

This paper characterizes the equilibrium for a large class of search models with two-sided heterogeneity and on-the-job search. Besides the well-known congestion externalities, we show that on-the-job search in combination with monopsonistic wage setting without commitment creates a...

We analyze a general search model with on-the-job search and sorting of heterogeneous workers into heterogeneous jobs. This model yields a simple relationshipbetween (i) the unemployment rate, (ii) the value of non-market time, and (iii) themax-mean wage differential. The latter measure of wage...

Do people move to cities because of marriage market considerations? In cities singles can meet more potential partners than in rural areas. Singles are therefore prepared to pay a premium in terms of higher housing prices. Once married, the marriage market benefits disappear while the housing...

Do people move to cities because of marriage market considerations? In cities singles can meet more potential partners than in rural areas. Singles are therefore prepared to pay a premium in terms of higher housing prices. Once married, the marriage market benefits disappear while the housing...

We characterize the equilibrium of a search model with a continuum of job and worker types, wage bargaining, free entry of vacancies and on-the-job search. The decentralized economy with monopsonistic wage setting yields too many vacancies and hence too low unemployment compared to first best....