Data and Code for: “Do Government Spending Multipliers Depend on the Sign of the Shock?”
Principal Investigator(s): View help for Principal Investigator(s) Nadav Ben Zeev, Ben-Gurion University of the Negev; Valerie Ramey, University of California-San Diego; Sarah Zubairy, Texas A&M University
Version: View help for Version V1
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| CIDFSubst | 03/20/2023 01:23:PM | ||
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| CMap | 03/20/2023 01:28:PM | ||
| ColorSpace | 03/20/2023 01:28:PM | ||
| Decoding | 03/20/2023 01:29:PM | ||
| Encoding | 03/20/2023 01:29:PM | ||
| Font | 03/20/2023 01:30:PM | ||
| IdiomSet | 03/20/2023 01:30:PM | ||
| Init | 03/20/2023 01:31:PM | ||
| SubstCID | 03/20/2023 01:31:PM |
Project Description
Summary:
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We analyze whether government spending multipliers differ by the sign of the shock. Using aggregate historical U.S. data, we apply Ben Zeev’s (2020) nonlinear diagnostic tests and find evidence of nonlinearities in the impulse response functions of both government spending and GDP. We then extend Ramey and Zubairy’s (2018) framework to allow for asymmetric effects as a type of state dependence to estimate multipliers. While we find differences in the impulse response functions, the resulting multipliers do not differ by sign of the shock. Thus, we find no evidence of asymmetry of government spending multipliers.
Scope of Project
JEL Classification:
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C32 Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
E62 Fiscal Policy
N12 Economic History: Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations: U.S.; Canada: 1913-
C32 Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
E62 Fiscal Policy
N12 Economic History: Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations: U.S.; Canada: 1913-
Geographic Coverage:
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United States
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