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Search Complementarities, Aggregate Fluctuations and Fiscal Policy

Author

Listed:
  • Jesus Fernandez-Villaverde
  • Federico Mandelman
  • Yang Yu
  • Francesco Zanetti

Abstract

We document five novel facts about the role of search effort in forming trading relationships among firms by combining a variety of micro and macro datasets. These facts strongly suggest the presence of search complementarities. To study the implications of these facts for aggregate fluctuations, we build a dynamic general equilibrium model, disciplined by our new firm-level evidence on search effort. The model matches key aspects of the macro and micro data that have remained unaccounted for by standard models, including the time-varying bimodal distribution of output and the strong, nonlinear propagation of shocks. Also, changes to the volatility of shocks have nonlinear effects on macroeconomic fluctuations that advance a novel interpretation of the Great Moderation. Finally, we provide a new account of the state-dependent effects of fiscal policy.

Suggested Citation

  • Jesus Fernandez-Villaverde & Federico Mandelman & Yang Yu & Francesco Zanetti, 2022. "Search Complementarities, Aggregate Fluctuations and Fiscal Policy," CAMA Working Papers 2022-40, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  • Handle: RePEc:een:camaaa:2022-40
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    File URL: https://crawford.anu.edu.au/sites/default/files/2025-01/40_2022_fernandez-villaverde_mandelman_yu_zanetti.pdf
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    Cited by:

    1. Fernández-Villaverde, Jesús & Mandelman, Federico & Yu, Yang & Zanetti, Francesco, 2021. "The “Matthew effect” and market concentration: Search complementarities and monopsony power," Journal of Monetary Economics, Elsevier, vol. 121(C), pages 62-90.
    2. Xu, Le & Yu, Yang & Zanetti, Francesco, 2025. "The adoption and termination of suppliers over the business cycle," Journal of Monetary Economics, Elsevier, vol. 151(C).
    3. Jesus Fernandez-Villaverde & Pablo Guerron-Quintana, 2020. "Uncertainty Shocks and Business Cycle Research," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 118-166, August.
    4. Matthias S. Hertweck & Vivien Lewis & Stefania Villa, 2021. "Going the Extra Mile: Effort by Workers and Job‐Seekers," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(8), pages 2099-2127, December.
    5. Gabe de Bondt & Philip Vermeulen, 2021. "Business cycle duration dependence and foreign recessions," Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(1), pages 1-19, February.
    6. Francesco Furlanetto & Antoine Lepetit & Ørjan Robstad & Juan Rubio-Ramírez & Pål Ulvedal, 2025. "Estimating Hysteresis Effects," American Economic Journal: Macroeconomics, American Economic Association, vol. 17(1), pages 35-70, January.
    7. Ghassibe, Mishel & Zanetti, Francesco, 2022. "State dependence of fiscal multipliers: the source of fluctuations matters," Journal of Monetary Economics, Elsevier, vol. 132(C), pages 1-23.
    8. Damiano Di Francesco & Omar Pietro Carnevale, 2025. "Are Hysteresis Effects Nonlinear?," LEM Papers Series 2025/32, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Leonardo Melosi & Francesco Zanetti, 2022. "The Signaling Effects of Fiscal Announcements," Working Paper Series WP 2022-38, Federal Reserve Bank of Chicago.
    10. Nalban, Valeriu & Smădu, Andra, 2021. "Asymmetric effects of uncertainty shocks: Normal times and financial disruptions are different," Journal of Macroeconomics, Elsevier, vol. 69(C).
    11. Giovanna Ciaffi & Matteo Deleidi & Michele Capriati, 2024. "Government spending, multipliers, and public debt sustainability: an empirical assessment for OECD countries," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 41(2), pages 521-542, July.
    12. Francesco Furlanetto & Kåre Hagelund & Frank Hansen & Ørjan Robstad, 2023. "Norges Bank Output Gap Estimates: Forecasting Properties, Reliability, Cyclical Sensitivity and Hysteresis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 238-267, February.

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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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