IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_1201.html
   My bibliography  Save this paper

Firm Size and Monetary Policy Transmission – Evidence from German Business Survey Data

Author

Listed:
  • Michael Ehrmann

Abstract

Using business survey data on German manufacturing firms, this paper provides tests for hypotheses formulated in capital market imperfection theories that predict distributional effects in the transmission of monetary policy. The business conditions of small firms are found to be somewhat more sensitive to monetary policy shocks than those of large firms, also when accounting for demand differences. These effects are reinforced in business cycle downturns.

Suggested Citation

  • Michael Ehrmann, 2004. "Firm Size and Monetary Policy Transmission – Evidence from German Business Survey Data," CESifo Working Paper Series 1201, CESifo.
  • Handle: RePEc:ces:ceswps:_1201
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp1201.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Gabriel Perez‐Quiros & Allan Timmermann, 2000. "Firm Size and Cyclical Variations in Stock Returns," Journal of Finance, American Finance Association, vol. 55(3), pages 1229-1262, June.
    2. Jean-Bernard Chatelain & Andrea Generale & Ignacio Hernando & Ulf von Kalckreuth & Philip Vermeulen, 2001. "Firm Investment and Monetary Policy Transmission in the Euro Area," Working Papers 0119, Banco de España.
    3. Audretsch, David B. & Elston, Julie Ann, 2002. "Does firm size matter? Evidence on the impact of liquidity constraints on firm investment behavior in Germany," International Journal of Industrial Organization, Elsevier, vol. 20(1), pages 1-17, January.
    4. Bernanke, Ben & Gertler, Mark, 1989. "Agency Costs, Net Worth, and Business Fluctuations," American Economic Review, American Economic Association, vol. 79(1), pages 14-31, March.
    5. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    6. King, Robert G. & Plosser, Charles I. & Stock, James H. & Watson, Mark W., 1991. "Stochastic Trends and Economic Fluctuations," American Economic Review, American Economic Association, vol. 81(4), pages 819-840, September.
    7. Steven M. Fazzari & R. Glenn Hubbard & Bruce C. Petersen, 1988. "Financing Constraints and Corporate Investment," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 19(1), pages 141-206.
    8. Nikolaus A. Siegfried, 2000. "Microeconometric Evidence for a German Credit Channel," Quantitative Macroeconomics Working Papers 20002, Hamburg University, Department of Economics.
    9. Ehrmann, Michael & Ellison, Martin & Valla, Natacha, 2003. "Regime-dependent impulse response functions in a Markov-switching vector autoregression model," Economics Letters, Elsevier, vol. 78(3), pages 295-299, March.
    10. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    11. Stephen G. Cecchetti, 1995. "Distinguishing theories of the monetary transmission mechanism," Proceedings, Federal Reserve Bank of St. Louis, issue May, pages 83-97.
    12. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    13. repec:oxf:wpaper:060 is not listed on IDEAS
    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. Héctor Zárate & Norberto Rodríguez & Margarita Marín, 2013. "El tamano de las empresas y la transmisión de la política monetaria en Colombia: una aplicación con la encuesta mensual de expectativas económicas," Revista de Economía del Rosario, Universidad del Rosario, June.
    2. Alexandros Kontonikas & Alexandros Kostakis, 2013. "On Monetary Policy and Stock Market Anomalies," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 40(7-8), pages 1009-1042, September.
    3. de Bandt,O. & Malik, S., 2010. "Is there Evidence of Shift-Contagion in International Housing Markets?," Working papers 295, Banque de France.
    4. Calza Alessandro & Sousa João, 2006. "Output and Inflation Responses to Credit Shocks: Are There Threshold Effects in the Euro Area?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-21, May.
    5. Diebold, F.X. & Kilian, L. & Nerlove, Marc, 2006. "Time Series Analysis," Working Papers 28556, University of Maryland, Department of Agricultural and Resource Economics.
    6. Héctor M. Zárate Solano & Norberto Rodríguez Niño & Margarita Marín Jaramillo, 2012. "El tamaño de las empresas y la transmisión de la política monetaria en Colombia: una aplicación con la encuesta mensual de expectativas económicas," Borradores de Economia 9823, Banco de la Republica.
    7. Fabio ALESSANDRINI, 2003. "Some Additional Evidence from the Credit Channel on the Response to Monetary Shocks: Looking for Asymmetries," Cahiers de Recherches Economiques du Département d'économie 03.04, Université de Lausanne, Faculté des HEC, Département d’économie.
    8. Lanne, Markku & Lütkepohl, Helmut & Maciejowska, Katarzyna, 2010. "Structural vector autoregressions with Markov switching," Journal of Economic Dynamics and Control, Elsevier, vol. 34(2), pages 121-131, February.
    9. Ehrmann, M. & Worms, A., 2001. "Interbank Lending and Monetary Policy Transmission: Evidence for Germany," Papers 73, Quebec a Montreal - Recherche en gestion.
    10. Kahn, James A. & Rich, Robert W., 2007. "Tracking the new economy: Using growth theory to detect changes in trend productivity," Journal of Monetary Economics, Elsevier, vol. 54(6), pages 1670-1701, September.
    11. Ericsson, Neil R & Hendry, David F & Mizon, Grayham E, 1998. "Exogeneity, Cointegration, and Economic Policy Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 370-387, October.
    12. Peter Tillmann, 2003. "The Regime‐Dependent Determination of Credibility: A New Look at European Interest Rate Differentials," German Economic Review, Verein für Socialpolitik, vol. 4(4), pages 409-431, November.
    13. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    14. Arnold, Ivo J. M. & Kool, Clemens J. M. & Raabe, Katharina, 2006. "Industries and the bank lending effects of bank credit demand and monetary policy in Germany," Discussion Paper Series 1: Economic Studies 2006,48, Deutsche Bundesbank.
    15. Gunnar Bårdsen & Kjersti-Gro Lindquist & Dimitrios P. Tsomocos, 2012. "Evaluation of Macroeconomic Models for Financial Stability Analysis," Chapters, in: The Challenge of Financial Stability, chapter 3, pages 32-58, Edward Elgar Publishing.
    16. Cochrane, John H., 1994. "Shocks," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 41(1), pages 295-364, December.
    17. Ramey, Valerie, 1993. "How important is the credit channel in the transmission of monetary policy?," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 1-45, December.
    18. Jorge Andrés Tamayo Castaño, 2012. "Asimetrías en la demanda por trabajo en Colombia: el papel del ciclo económico," Borradores de Economia 9286, Banco de la Republica.
    19. Ehrmann, Michael & Ellison, Martin & Valla, Natacha, 2003. "Regime-dependent impulse response functions in a Markov-switching vector autoregression model," Economics Letters, Elsevier, vol. 78(3), pages 295-299, March.
    20. Francis X. Diebold, 1998. "The Past, Present, and Future of Macroeconomic Forecasting," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 175-192, Spring.

    More about this item

    Keywords

    monetary policy transmission; firm size; Markov switching;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • 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

    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:ces:ceswps:_1201. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    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.