Measuring the Output Gap using Large Datasets

A-Tier
Journal: Review of Economics and Statistics
Year: 2023
Volume: 105
Issue: 6
Pages: 1500-1514

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

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

Abstract

We propose a new measure of the output gap based on a dynamic factor model that is estimated on a large number of U.S. macroeconomic indicators and which incorporates relevant stylized facts about macroeconomic data (comovements, nonstationarity, and the slow drift in long-run output growth over time). We find that (1) from the mid-1990s to 2008, the U.S. economy operated above its potential and (2) in 2018:Q4, the labor market was tighter than the market for goods and services. Because it is mainly data-driven, our measure is a natural complementary tool to the theoretical models used at policy institutions.

Technical Details

RePEc Handle
repec:tpr:restat:v:105:y:2023:i:6:p:1500-1514
Journal Field
General
Author Count
2
Added to Database
2026-01-24