Technology, demand, and productivity: What an industry model tells us about business cycles

B-Tier
Journal: Journal of Economic Dynamics and Control
Year: 2022
Volume: 134
Issue: C

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

In this paper, we study the relative importance of demand and technology shocks in generating business cycle fluctuations, both at the aggregate level and at the level of individual industries. We construct a New Keynesian DSGE model that is highly disaggregated at the industry level with an input-output network structure. Measured productivity in the model fluctuates in response to both technology and demand shocks due to endogenous factor utilization. We estimate the model by the simulated method of moments using U.S. industry data from 1960 to 2005.

Technical Details

RePEc Handle
repec:eee:dyncon:v:134:y:2022:i:c:s0165188921002074
Journal Field
Macro
Author Count
2
Added to Database
2026-01-26