[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/sap/wpaper/wp188.html
   My bibliography  Save this paper

Temporal Disaggregation of Business Dynamics: New Evidence for U.S. Economy

Author

Listed:
  • Lorenza Rossi
  • Emilio Zanetti Chini
Abstract
We provide new disaggregated data and stylized facts on firm dynamics of the U.S economy by using a state-space method to transform Census yearly data of entry and exit from 1977 to 2013 into quarterly frequency. Entry is lagging and symmetric, while exit is leading and asymmetric along the business cycle. We select the most significant determinants of these variables by matching Census data with a new database by Federal Reserve. These determinants differ considerably among entry and exit. Finally, standard macroeconometric models estimated on our disaggregated series support the recent theoretical literature, according to which the cleansing effect of recession is mainly due to exit asymmetry.

Suggested Citation

  • Lorenza Rossi & Emilio Zanetti Chini, 2019. "Temporal Disaggregation of Business Dynamics: New Evidence for U.S. Economy," Working Papers in Public Economics 188, Department of Economics and Law, Sapienza University of Roma.
    • Handle: RePEc:sap:wpaper:wp188
    as

    Download full text from publisher

    File URL: https://www.dipecodir.it/wpsap/data/wp188.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Miles S. Kimball & John G. Fernald & Susanto Basu, 2006. "Are Technology Improvements Contractionary?," American Economic Review, American Economic Association, vol. 96(5), pages 1418-1448, December.
    2. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    3. Sichel, Daniel E, 1993. "Business Cycle Asymmetry: A Deeper Look," Economic Inquiry, Western Economic Association International, vol. 31(2), pages 224-236, April.
    4. Michael W. McCracken & Serena Ng, 2016. "FRED-MD: A Monthly Database for Macroeconomic Research," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 574-589, October.
    5. Gian Luca Clementi & Berardino Palazzo, 2016. "Entry, Exit, Firm Dynamics, and Aggregate Fluctuations," American Economic Journal: Macroeconomics, American Economic Association, vol. 8(3), pages 1-41, July.
    6. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    7. Florin O. Bilbiie & Fabio Ghironi & Marc J. Melitz, 2012. "Endogenous Entry, Product Variety, and Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 120(2), pages 304-345.
    8. Caner, Mehmet & Kock, Anders Bredahl, 2018. "Asymptotically honest confidence regions for high dimensional parameters by the desparsified conservative Lasso," Journal of Econometrics, Elsevier, vol. 203(1), pages 143-168.
    9. Jaimovich, Nir & Floetotto, Max, 2008. "Firm dynamics, markup variations, and the business cycle," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1238-1252, October.
    10. Jose Asturias & Sewon Hur & Timothy J. Kehoe & Kim J. Ruhl, 2023. "Firm Entry and Exit and Aggregate Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 15(1), pages 48-105, January.
    11. Lewis, Vivien, 2013. "Optimal Monetary Policy And Firm Entry," Macroeconomic Dynamics, Cambridge University Press, vol. 17(8), pages 1687-1710, December.
    12. Lewis, Vivien & Poilly, Céline, 2012. "Firm entry, markups and the monetary transmission mechanism," Journal of Monetary Economics, Elsevier, vol. 59(7), pages 670-685.
    13. Sophie Osotimehin & Francesco Pappadà, 2017. "Credit Frictions and The Cleansing Effect of Recessions," Economic Journal, Royal Economic Society, vol. 127(602), pages 1153-1187, June.
    14. Sims, Christopher A & Zha, Tao, 1998. "Bayesian Methods for Dynamic Multivariate Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 949-968, November.
    15. Masashige Hamano & Francesco Zanetti, 2017. "Endogenous Turnover and Macroeconomic Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 263-279, October.
    16. Gadi Barlevy, 2002. "The Sullying Effect of Recessions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(1), pages 65-96.
    17. Lucia Foster & Cheryl Grim & John Haltiwanger, 2016. "Reallocation in the Great Recession: Cleansing or Not?," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 293-331.
    18. Sophie Osotimehin & Francesco Pappadà, 2017. "Credit Frictions and The Cleansing Effect of Recessions," Economic Journal, Royal Economic Society, vol. 127(602), pages 1153-1187, June.
    19. John Haltiwanger & Steven J. Davis, 1999. "On the Driving Forces behind Cyclical Movements in Employment and Job Reallocation," American Economic Review, American Economic Association, vol. 89(5), pages 1234-1258, December.
    20. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    21. Litterman, Robert B, 1983. "A Random Walk, Markov Model for the Distribution of Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(2), pages 169-173, April.
    22. Brand, Thomas & Isoré, Marlène & Tripier, Fabien, 2019. "Uncertainty shocks and firm creation: Search and monitoring in the credit market," Journal of Economic Dynamics and Control, Elsevier, vol. 99(C), pages 19-53.
    23. La Croce, Carla & Rossi, Lorenza, 2018. "Firms' Endogenous Entry And Monopolistic Banking In A Dsge Model," Macroeconomic Dynamics, Cambridge University Press, vol. 22(1), pages 153-171, January.
    24. Milton Friedman, 1962. "The Interpolation of Time Series by Related Series," NBER Books, National Bureau of Economic Research, Inc, number frie62-1.
    25. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    26. Jushan Bai & Serena Ng, 2009. "Boosting diffusion indices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 607-629.
    27. Steven J. Davis & John Haltiwanger, 1992. "Gross Job Creation, Gross Job Destruction, and Employment Reallocation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 819-863.
    28. Filippo Altissimo & Riccardo Cristadoro & Mario Forni & Marco Lippi & Giovanni Veronese, 2010. "New Eurocoin: Tracking Economic Growth in Real Time," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 1024-1034, November.
    29. Cavallari, Lilia, 2015. "Entry costs and the dynamics of business formation," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 312-326.
    30. Caballero, Ricardo J & Hammour, Mohamad L, 1994. "The Cleansing Effect of Recessions," American Economic Review, American Economic Association, vol. 84(5), pages 1350-1368, December.
    31. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    32. Federico Etro & Andrea Colciago, 2010. "Endogenous Market Structures and the Business Cycle," Economic Journal, Royal Economic Society, vol. 120(549), pages 1201-1233, December.
    33. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    34. Davis, Steven J. & Faberman, R. Jason & Haltiwanger, John, 2012. "Labor market flows in the cross section and over time," Journal of Monetary Economics, Elsevier, vol. 59(1), pages 1-18.
    35. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-144, January.
    36. Bergin, Paul R. & Corsetti, Giancarlo, 2008. "The extensive margin and monetary policy," Journal of Monetary Economics, Elsevier, vol. 55(7), pages 1222-1237, October.
    37. Milton Friedman, 1962. "Introduction to "The Interpolation of Time Series by Related Series"," NBER Chapters, in: The Interpolation of Time Series by Related Series, pages 1-3, National Bureau of Economic Research, Inc.
    38. Tian, Can, 2018. "Firm-level entry and exit dynamics over the business cycles," European Economic Review, Elsevier, vol. 102(C), pages 298-326.
    39. Zanetti Chini, Emilio, 2018. "Forecasting dynamically asymmetric fluctuations of the U.S. business cycle," International Journal of Forecasting, Elsevier, vol. 34(4), pages 711-732.
    40. Brand, Thomas & Isoré, Marlène & Tripier, Fabien, 2017. "Uncertainty Shocks and Firm Dynamics: Search and Monitoring in the Credit Market," CEPREMAP Working Papers (Docweb) 1707, CEPREMAP.
    41. Enrique M. Quilis, 2018. "Temporal disaggregation of economic time series: The view from the trenches," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 72(4), pages 447-470, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rossi, Lorenza, 2019. "The overshooting of firms’ destruction, banks and productivity shocks," European Economic Review, Elsevier, vol. 113(C), pages 136-155.
    2. Lorenza Rossi & Emilio Zanetti Chini, 2016. "Firms’ Dynamics and Business Cycle: New Disaggregated Data," DEM Working Papers Series 123, University of Pavia, Department of Economics and Management.
    3. Stefano Fasani & Haroon Mumtaz & Lorenza Rossi, 2023. "Monetary Policy and Firm Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 47, pages 278-296, January.
    4. Cavallari, Lilia & Romano, Simone & Naticchioni, Paolo, 2021. "The original sin: Firms’ dynamics and the life-cycle consequences of economic conditions at birth," European Economic Review, Elsevier, vol. 138(C).
    5. Savagar, Anthony, 2021. "Measured productivity with endogenous markups and economic profits," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    6. Andrea Colciago & Vivien Lewis & Branka Matyska, 2023. "Corporate taxes, productivity, and business dynamism," Working Papers 512, University of Milano-Bicocca, Department of Economics, revised May 2023.
    7. Masashige Hamano & Francesco Zanetti, 2017. "Endogenous Turnover and Macroeconomic Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 263-279, October.
    8. Savagar, Anthony, 2021. "Measured productivity with endogenous markups and economic profits," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    9. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    10. Savagar, Anthony & Dixon, Huw, 2020. "Firm entry, excess capacity and endogenous productivity," European Economic Review, Elsevier, vol. 121(C).
    11. Hartwig, Benny & Lieberknecht, Philipp, 2020. "Monetary policy, firm exit and productivity," Discussion Papers 61/2020, Deutsche Bundesbank.
    12. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    13. Marta Aloi & Huw Dixon & Anthony Savagar, 2021. "Labor Responses, Regulation, and Business Churn," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(1), pages 119-156, February.
    14. Florin O. Bilbiie & Fabio Ghironi & Marc J. Melitz, 2012. "Endogenous Entry, Product Variety, and Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 120(2), pages 304-345.
    15. Hamano, Masashige & Zanetti, Francesco, 2022. "Monetary policy, firm heterogeneity, and product variety," European Economic Review, Elsevier, vol. 144(C).
    16. Lucia Foster & Cheryl Grim & John Haltiwanger, 2016. "Reallocation in the Great Recession: Cleansing or Not?," Journal of Labor Economics, University of Chicago Press, vol. 34(S1), pages 293-331.
    17. Brand, Thomas & Isoré, Marlène & Tripier, Fabien, 2019. "Uncertainty shocks and firm creation: Search and monitoring in the credit market," Journal of Economic Dynamics and Control, Elsevier, vol. 99(C), pages 19-53.
    18. Röhe, Oke & Stähler, Nikolai, 2020. "Demographics and the decline in firm entry: Lessons from a life-cycle model," Discussion Papers 15/2020, Deutsche Bundesbank.
    19. Abdullah Tahir & Jameel Ahmed & Waqas Ahmed, 2018. "Robust Quarterization of GDP and Determination of Business Cycle Dates for IGC Partner Countries," SBP Working Paper Series 97, State Bank of Pakistan, Research Department.
    20. Christian Abele & Agnès Bénassy-Quéré & Lionel Fontagné, 2020. "One Size Does Not Fit All: TFP in the Aftermath of Financial Crises in Three European Countries," PSE Working Papers halshs-02883685, HAL.

    More about this item

    Keywords

    Bayesian VAR; Firms and Establishments; Productivity; State-Space Models;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • 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
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sap:wpaper:wp188. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Luisa Giuriato (email available below). General contact details of provider: https://ecodir.web.uniroma1.it/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.