We investigate the welfare cost of business cycles implied by matching frictions. First, using the reduced-form of the matching model, we show that job finding rate fluctuations generate intrinsically a non-linear effect on unemployment: positive shocks reduce unemployment less than negative shocks increase it. For the observed process of the job finding rate in the US economy, this intrinsic asymmetry increases average unemployment, which leads to substantial business cycles costs. Moreover, the structural matching model embeds other non-linearities, which alter the average job finding rate and consequently the welfare cost of business cycles. Our theory suggests to subsidizing employment in order to dampen the impact of the job finding rate fluctuations on welfare.
We thank the editor Morten O. Ravn and three anonymous referees for their insightful comments and suggestions that greatly improved the paper. We also thank Guy Laroque for many helpful comments on a previous version of the paper, as well as
Recessions are conventionally considered as times when the least productive firms are driven out of the market. How do credit frictions affect this cleansing effect of recessions? We build and calibrate a model of firm dynamics with credit frictions and endogenous entry and exit to investigate this question. We find that there is a cleansing effect of recessions in the presence of credit frictions, despite their effect on the selection of exiting and entering firms. This result holds true regardless of the nature of the recession: average firm‐level productivity rises following a negative aggregate productivity shock, as well as following a negative financial shock.
We study how factors that hinder the reallocation of inputs across firms influence aggregate productivity growth. We extend Hopenhayn and Rogerson’s (1993) firm-dynamics model to allow for endogenous innovation. We evaluate the effects of firing taxes on reallocation, innovation, and productivity growth. We find firing taxes can have opposite effects on entrants’ innovation and incumbents’ innovation, and the overall outcome depends on the relative strengths of these forces. In the entrant-driven growth calibration, firing taxes reduce aggregate productivity growth, whereas aggregate productivity growth increases in the incumbent-driven growth calibration. (JEL D24, E23, E24, J23, J24, J62, K31, O31, O47)
We analytically characterize the aggregate productivity loss from allocative distortions in a setting that accounts for the sectoral linkages of production. We show that the effects of distortions and the role of sectoral linkages depend crucially on how substitutable inputs are. We find that the productivity loss is smaller if input substitutability is low. Moreover, with low input substitutability, sectoral linkages do not systematically amplify the effects of distortions. In addition, the impact of the sectors that supply intermediate inputs becomes smaller. We quantify these effects in the context of the distortions caused by market power, using industry-level data for 35 countries. With our benchmark calibration, which accounts for low input substitutability, the median aggregate productivity loss from industry-level markups is 1.3%. To assume instead unit elasticities of substitution (i.e., to use a Cobb-Douglas production function) would lead to overestimating the productivity loss by a factor of 1.8. Sectoral linkages do amplify the cost of markups, but the amplification factor is considerably weaker than with unit elasticities.
Workers are unequal in the face of the COVID-19 pandemic: Those who work in essential sectors face higher health risk whereas those in non-essential social-consumption sectors face greater economic risk. We study how these health and economic risks cascade into other sectors through supply chains and demand linkages. In the U.S., we find the cascading effects account for about 25-30% of the exposure to both risks. The cascading effect increases the health risk faced by workers in the transportation and retail sectors, and it increases the economic risk faced by workers in the textile and petroleum sectors. We provide sectoral estimates of the health and economic risk for 42 other countries in an online interactive document.
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