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Non-linear effects of government spending shocks in the US. Evidence from state-level data

Author

Listed:
  • Haroon Mumtaz

    (Queen Mary University of London)

  • Laura Sunder-Plassmann

    (University of Copenhagen)

Abstract

This paper uses state-level data to estimate the effect of federal defence spending shocks on state real activity. We find moderately strong 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 non-linearity in the effect of spending shocks is larger in states that are subject to a higher degree of financial frictions and lower labour market rigidity. In contrast states with a prevalence of mining and agricultural industries tend to have multipliers that are more similar across business cycle phases.

Suggested Citation

  • Haroon Mumtaz & Laura Sunder-Plassmann, 2017. "Non-linear effects of government spending shocks in the US. Evidence from state-level data," Working Papers 841, Queen Mary University of London, School of Economics and Finance.
    • Handle: RePEc:qmw:qmwecw:841
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    Cited by:

    1. Matarrese, Marco Maria & Frangiamore, Francesco, 2023. "Italian local fiscal multipliers: Evidence from proxy-SVAR," Economics Letters, Elsevier, vol. 228(C).
    2. Davidson, Sharada Nia & Moccero, Diego Nicolas, 2024. "The nonlinear effects of banks’ vulnerability to capital depletion in euro area countries," Working Paper Series 2912, European Central Bank.
    3. Brignone, Davide & Gambetti, Luca & Ricci, Martino, 2024. "Geopolitical risk shocks: when 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. Coppola, Gianluigi & Destefanis, Sergio & Di Serio, Mario & Fragetta, Matteo, 2024. "Fiscal multipliers in recession and expansion. An analysis for the Italian regions," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 538-556.
    9. Murray, James, 2024. "Fiscal policy reactions and impact over the labor income distribution," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 701-718.
    10. 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.
    11. 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.
    12. Beau Soederhuizen & Rutger Teulings & Rob Luginbuhl, 2023. "Estimating the impact of the financial cycle on fiscal policy," Empirical Economics, Springer, vol. 65(6), pages 2669-2709, December.
    13. Frangiamore, Francesco & Matarrese, Marco Maria, 2025. "Government spending multipliers and financial fragility in Italy," Economic Modelling, Elsevier, vol. 145(C).
    14. 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).
    15. 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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    Keywords

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    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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