Output, Employment, and Price Effects of U.S. Narrative Tax Changes: A Factor-Augmented Vector Autoregression Approach
Masud Alam

TL;DR
This study uses a factor-augmented VAR model to analyze the short- and long-term impacts of U.S. tax cuts on macroeconomic variables, revealing that personal income tax cuts are more effective for boosting output and employment.
Contribution
It introduces a novel application of FAVAR models with narrative tax shocks to identify and quantify the effects of U.S. tax policy changes on macroeconomic outcomes.
Findings
Tax cuts significantly increase output, employment, investment, and consumption.
Personal income tax cuts have larger and more sustained effects than corporate tax cuts.
Tax cuts lead to immediate and delayed responses in macroeconomic variables.
Abstract
This paper examines the short- and long-run effects of U.S. federal personal income and corporate income tax cuts on a wide array of economic policy variables in a data-rich environment. Using a panel of U.S. macroeconomic data set, made up of 132 quarterly macroeconomic series for 1959-2018, the study estimates factor-augmented vector autoregression (FAVARs) models where an extended narrative tax changes dataset combined with unobserved factors. The narrative approach classifies if tax changes are exogenous or endogenous. This paper identifies narrative tax shocks in the vector autoregression model using the sign restrictions with Uhlig's (2005) penalty function. Empirical findings show a significant expansionary effect of tax cuts on the macroeconomic variables. Cuts in personal and corporate income taxes cause a rise in output, investment, employment, and consumption; however, cuts…
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