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Partial pooling with cross-country priors: An application to house price shocks

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  • Roth, Markus

Abstract

A structural Bayesian vector autoregression model predicts that - when accompanied by a decline in consumer confidence - a one-percent decrease in house prices is associated with a contraction of economic activity by 0.2 to 1.2 percent after one year. Results point to important second-round effects and additional exercises highlight the amplifying role of (i ) the mortgage rate and (ii ) consumers' expectations. A novel econometric approach exploits information available from the cross section. Shrinkage towards a cross-country average model helps to compensate for small country samples and reduces estimation uncertainty. As a by-product, the method delivers measures of cross-country heterogeneity.

Suggested Citation

  • Roth, Markus, 2020. "Partial pooling with cross-country priors: An application to house price shocks," Discussion Papers 06/2020, Deutsche Bundesbank.
    • Handle: RePEc:zbw:bubdps:062020
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    as
    1. Ibrahim Ahamada & Sanchez José Luis Diaz, 2013. "A retrospective analysis of the house prices macro-relationship in the United States," Post-Print hal-00816717, HAL.
    2. Piazzesi, M. & Schneider, M., 2016. "Housing and Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1547-1640, Elsevier.
    3. Uhlig, Harald, 2005. "What are the effects of monetary policy on output? Results from an agnostic identification procedure," Journal of Monetary Economics, Elsevier, vol. 52(2), pages 381-419, March.
    4. Alessandro Calza & Tommaso Monacelli & Livio Stracca, 2013. "Housing Finance And Monetary Policy," Journal of the European Economic Association, European Economic Association, vol. 11, pages 101-122, January.
    5. Lambertini, Luisa & Mendicino, Caterina & Punzi, Maria Teresa, 2017. "Expectations-driven cycles in the housing market," Economic Modelling, Elsevier, vol. 60(C), pages 297-312.
    6. Rickman, Dan S., 1995. "A bayesian analysis of the use of pooled coefficients in a structural regional economic model," International Journal of Forecasting, Elsevier, vol. 11(3), pages 477-490, September.
    7. Koop, Gary & Korobilis, Dimitris, 2016. "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, vol. 81(C), pages 115-131.
    8. Jonas E. Arias & Juan Rubio-Ramirez & Daniel F. Waggoner, 2013. "Inference Based on SVARs Identied with Sign and Zero Restrictions: Theory and Applications," Working Papers 2013-24, FEDEA.
    9. Zellner, Arnold & Hong, Chansik, 1989. "Forecasting international growth rates using Bayesian shrinkage and other procedures," Journal of Econometrics, Elsevier, vol. 40(1), pages 183-202, January.
    10. Canova, Fabio & Ciccarelli, Matteo, 2013. "Panel Vector Autoregressive Models: A Survey," CEPR Discussion Papers 9380, C.E.P.R. Discussion Papers.
    11. Lambertini, Luisa & Mendicino, Caterina & Punzi, Maria Teresa, 2013. "Expectation-driven cycles in the housing market: Evidence from survey data," Journal of Financial Stability, Elsevier, vol. 9(4), pages 518-529.
    12. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    13. Geweke, John & Koop, Gary & van Dijk, Herman (ed.), 2011. "The Oxford Handbook of Bayesian Econometrics," OUP Catalogue, Oxford University Press, number 9780199559084.
    14. Honoré,Bo & Pakes,Ariel & Piazzesi,Monika & Samuelson,Larry (ed.), 2017. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781316510520, January.
    15. Case, Karl E. & Quigley, John M. & Shiller, Robert J., 2013. "Wealth Effects Revisited 1975-2012," Critical Finance Review, now publishers, vol. 2(1), pages 101-128, July.
    16. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    17. Ibrahim Ahamada & Jose Luis Diaz Sanchez, 2013. "A Retrospective Analysis of the House Prices Macro-Relationship in the United States," International Journal of Central Banking, International Journal of Central Banking, vol. 9(4), pages 153-174, December.
    18. David Berger & Veronica Guerrieri & Guido Lorenzoni & Joseph Vavra, 2018. "House Prices and Consumer Spending," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(3), pages 1502-1542.
    19. Monika Piazzesi & Martin Schneider, 2009. "Momentum Traders in the Housing Market: Survey Evidence and a Search Model," American Economic Review, American Economic Association, vol. 99(2), pages 406-411, May.
    20. Ibrahim Ahamada & Sanchez José Luis Diaz, 2013. "A retrospective analysis of the house prices macro-relationship in the United States," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00816717, HAL.
    21. Richard Disney & John Gathergood & Andrew Henley, 2010. "House Price Shocks, Negative Equity, and Household Consumption in the United Kingdom," Journal of the European Economic Association, MIT Press, vol. 8(6), pages 1179-1207, December.
    22. Fabio Canova, 2005. "The transmission of US shocks to Latin America," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 229-251.
    23. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2015. "Prior Selection for Vector Autoregressions," The Review of Economics and Statistics, MIT Press, vol. 97(2), pages 436-451, May.
    24. Honoré,Bo & Pakes,Ariel & Piazzesi,Monika & Samuelson,Larry (ed.), 2017. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781108400022, January.
    25. Jonas E. Arias & Juan F. Rubio‐Ramírez & Daniel F. Waggoner, 2018. "Inference Based on Structural Vector Autoregressions Identified With Sign and Zero Restrictions: Theory and Applications," Econometrica, Econometric Society, vol. 86(2), pages 685-720, March.
    26. Marco Del Negro & Frank Schorfheide, 2004. "Priors from General Equilibrium Models for VARS," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 45(2), pages 643-673, May.
    27. 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.
    28. Honoré,Bo & Pakes,Ariel & Piazzesi,Monika & Samuelson,Larry (ed.), 2017. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781108400008, January.
    29. Marco Del Negro & Frank Schorfheide, 2003. "Take your model bowling: forecasting with general equilibrium models," Economic Review, Federal Reserve Bank of Atlanta, vol. 88(Q4), pages 35-50.
    30. Gustafsson, Peter & Stockhammar, Pär & Österholm, Pär, 2016. "Macroeconomic effects of a decline in housing prices in Sweden," Journal of Policy Modeling, Elsevier, vol. 38(2), pages 242-255.
    31. Christoph Frey & Frieder Mokinski, 2016. "Forecasting with Bayesian Vector Autoregressions Estimated Using Professional Forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(6), pages 1083-1099, September.
    32. Pascal Towbin & Mr. Sebastian Weber, 2015. "Price Expectations and the U.S. Housing Boom," IMF Working Papers 2015/182, International Monetary Fund.
    33. Christiane Baumeister & Luca Benati, 2013. "Unconventional Monetary Policy and the Great Recession: Estimating the Macroeconomic Effects of a Spread Compression at the Zero Lower Bound," International Journal of Central Banking, International Journal of Central Banking, vol. 9(2), pages 165-212, June.
    34. Martin Schneider & Monika Piazzesi, 2009. "Momentum traders in a search model of the housing market," 2009 Meeting Papers 1266, Society for Economic Dynamics.
    35. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    36. Paulo M.M. Rodrigues & Rita Fradique Lourenço, 2015. "House prices: bubbles, exuberance or something else? Evidence from euro area countries," Working Papers w201517, Banco de Portugal, Economics and Research Department.
    37. Kadiyala, K Rao & Karlsson, Sune, 1997. "Numerical Methods for Estimation and Inference in Bayesian VAR-Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 99-132, March-Apr.
    38. Honoré,Bo & Pakes,Ariel & Piazzesi,Monika & Samuelson,Larry (ed.), 2017. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781108414982, January.
    39. Nocera, Andrea & Roma, Moreno, 2017. "House prices and monetary policy in the euro area: evidence from structural VARs," Working Paper Series 2073, European Central Bank.
    40. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    41. Camba-Mendez, Gonzalo, 2012. "Conditional forecasts on SVAR models using the Kalman filter," Economics Letters, Elsevier, vol. 115(3), pages 376-378.
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    More about this item

    Keywords

    Bayesian model averaging; dummy observations; house price shocks;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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