Following a recession, the aggregate labor market is slack employment remains below normal and recruiting efforts of employers, as measured by vacancies, are low. A model of matching frictions explains the qualitative responses of the labor market to adverse shocks, but requires implausibly...

This chapter surveys the contributions of laboratory experiments to labor economics. We begin with a discussion of methodological issues: why (and when) is a lab experiment the best approach; how do laboratory experiments compare to field experiments; and what are the main design issues? We then...

A search and matching model, when calibrated to the mean and volatility of unemployment in the postwar sample, can potentially explain the large unemployment dynamics in the Great Depression. The limited response of wages to labor market conditions from credible bargaining and the congestion...

Based on existing evidence, we know little about how the taxation of small business owners affects their economic activity. This paper studies the effect of two Finnish tax reforms, in 1997 and 1998, on the effort decisions of the owners of small businesses utilizing both theoretical model and...

Macroeconomists have for some time been aware that the New Keynesian Phillips curve, though highly popular in the literature, cannot explain the persistence observed in actual inflation. We argue that two of the more prominent alternative formulations, the Fuhrer and Moore (1995) relative...

Bunching estimators were developed and extended by Saez (2010) and Chetty et. al. (2011). Using this method one can get an estimate of the taxable income elasticity from the bunching pattern around a kink point. The bunching estimator has become popular, with a large number of papers applying...

Many questions in economics involve long-run or trend variation and covariation in time series. Yet, time series of typical lengths contain only limited information about this long-run variation. This paper suggests that long-run sample information can be isolated using a small number of...

Standard inference in cointegrating models is fragile because it relies on an assumption of an I(1) model for the common stochastic trends, which may not accurately describe the data's persistence. This paper discusses efficient low-frequency inference about cointegrating vectors that is robust...

An MLE of the unknown parameters of co integrating vectors is presented for systems in which some variables exhibit higher orders of integration, in which there might be deterministic components, and in which the co integrating vector itself might involve variables of differing orders of...

In a model where a variable Y[sub t] is proportional to the present value, with constant discount rate, of expected future values of a variable y[sub t] the "spread" S[sub t]= Y[sub t] - [theta sub t] will be stationary for some [theta] whether or not y[sub t]must be differenced to induce...