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Nonlinear effects of government spending shocks in the USA: Evidence from state‐level data

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  • Haroon Mumtaz
  • Laura Sunder‐Plassmann

Abstract

This paper uses state‐level data to estimate the effect of government spending shocks during expansions and recessions. By employing a mixed‐frequency framework, we are able to include a long span of annual state‐level government spending data in our nonlinear quarterly panel VAR model. We find evidence that for the average state the fiscal multiplier is larger during recessions. However, there is substantial heterogeneity across the cross‐section. The degree of nonlinearity in the effect of spending shocks is larger in states that are subject to a higher degree of financial frictions. In contrast, states with a prevalence of manufacturing, mining and agricultural industries tend to have multipliers that are more similar across business cycle phases.

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  • Haroon Mumtaz & Laura Sunder‐Plassmann, 2021. "Nonlinear effects of government spending shocks in the USA: Evidence from state‐level data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(1), pages 86-97, January.
    • Handle: RePEc:wly:japmet:v:36:y:2021:i:1:p:86-97
    DOI: 10.1002/jae.2800
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    Cited by:

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    3. Brignone, Davide & Gambetti, Luca & Ricci, Martino, 2024. "Geopolitical risk shocks: when the size matters," Working Paper Series 2972, European Central Bank.
    4. Xin Sheng & Rangan Gupta, 2021. "A Note on State-Level Nonlinear Effects of Government Spending Shocks in the US: The Role of Partisan Conflict," Working Papers 202187, University of Pretoria, Department of Economics.
    5. Joseph P. Byrne & Prince Asare Vitenu-Sackey, 2024. "The Macroeconomic Impact of Global and Country-Specific Climate Risk," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(3), pages 655-682, March.
    6. Wifag Adnan & Kerim Peren Arin & Aysegul Corakci & Nicola Spagnolo, 2022. "On the heterogeneous effects of tax policy on labor market outcomes," Southern Economic Journal, John Wiley & Sons, vol. 88(3), pages 991-1036, January.
    7. Baumann, Ursel & Lodge, David & Miescu, Mirela S., 2019. "Global growth on life support? The contributions of fiscal and monetary policy since the global financial crisis," Working Paper Series 2248, European Central Bank.
    8. Cimadomo, Jacopo & Giuliodori, Massimo & Lengyel, Andras & Mumtaz, Haroon, 2023. "Changing patterns of risk-sharing channels in the United States and the euro area," Working Paper Series 2849, European Central Bank.
    9. Gian Paulo Soave, 2023. "A panel threshold VAR with stochastic volatility-in-mean model: an application to the effects of financial and uncertainty shocks in emerging economies," Applied Economics, Taylor & Francis Journals, vol. 55(4), pages 397-431, January.
    10. Li, Mingyang & Niu, Linlin, 2021. "Faster fiscal stimulus and a higher government spending multiplier in China: Mixed-frequency identification with SVAR," Economics Letters, Elsevier, vol. 209(C).
    11. Xin Sheng & Rangan Gupta, 2022. "The State-Level Nonlinear Effects of Government Spending Shocks in the US: The Role of Partisan Conflict," Sustainability, MDPI, vol. 14(18), pages 1-9, September.

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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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