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Identifying VARs through Heterogeneity: An Application to Bank Runs

Author

Listed:
  • De Graeve, Ferre

    () (Research Department, Central Bank of Sweden)

  • Karas, Alexei

    (Roosevelt Academy)

Abstract

We propose to incorporate cross-sectional heterogeneity into structural VARs. Heterogeneity provides an additional dimension along which one can identify structural shocks and perform hypothesis tests. We provide an application to bank runs, based on microeconomic deposit market data. We impose identification restrictions both in the cross-section (across insured and non-insured banks) and across variables (as in macro SVARs). We thus (i) identify bank runs, (ii) quantify the contribution of competing theories, and, (iii) evaluate policies such as deposit insurance. The application suggests substantial promise for the approach and has strong policy implications.

Suggested Citation

  • De Graeve, Ferre & Karas, Alexei, 2010. "Identifying VARs through Heterogeneity: An Application to Bank Runs," Working Paper Series 244, Sveriges Riksbank (Central Bank of Sweden).
  • Handle: RePEc:hhs:rbnkwp:0244
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    File URL: http://www.riksbank.com/upload/WorkingPapers/WP244.pdf
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    References listed on IDEAS

    as
    1. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Thomas J. Sargent & Mark W. Watson, 2007. "ABCs (and Ds) of Understanding VARs," American Economic Review, American Economic Association, vol. 97(3), pages 1021-1026, June.
    2. Juan Francisco Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2005. "Markov-switching structural vector autoregressions: theory and application," FRB Atlanta Working Paper 2005-27, Federal Reserve Bank of Atlanta.
    3. Demirguc-Kunt, Asli & Huizinga, Harry, 2004. "Market discipline and deposit insurance," Journal of Monetary Economics, Elsevier, vol. 51(2), pages 375-399, March.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Canova, Fabio & Ciccarelli, Matteo, 2013. "Panel Vector Autoregressive Models: A Survey," CEPR Discussion Papers 9380, C.E.P.R. Discussion Papers.
    2. Papadamou, Stephanos & Sidiropoulos, Moïse & Spyromitros, Eleftherios, 2015. "Central bank transparency and the interest rate channel: Evidence from emerging economies," Economic Modelling, Elsevier, vol. 48(C), pages 167-174.
    3. Martin Brown & Stefan Trautmann & Razvan Vlahu, 2012. "Contagious Bank Runs: Experimental Evidence," DNB Working Papers 363, Netherlands Central Bank, Research Department.
    4. G. Peersman & W. Wagner, 2014. "Shocks to Bank Lending, Risk-Taking, Securitization, and their Role for U.S. Business Cycle Fluctuations," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/874, Ghent University, Faculty of Economics and Business Administration.
    5. Brown, Martin & Trautmann, Stefan T. & Vlahu, Razvan, 2014. "Understanding bank-run contagion," Working Paper Series 1711, European Central Bank.
    6. Solntsev, O. & Mamonov, M. & Pestova, A. & Magomedova, Z., 2011. "Experience in Developing Early Warning System for Financial Crises and the Forecast of Russian Banking Sector Dynamic in 2012," Journal of the New Economic Association, New Economic Association, issue 12, pages 41-76.

    More about this item

    Keywords

    Identification; SVAR; panel-VAR; Heterogeneity; Bank run;

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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