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QUANTILE-BASED ASYMMETRIC DYNAMICS OF REAL GDP GROWTH

Published online by Cambridge University Press:  27 March 2019

Xiaochun Liu*
Affiliation:
University of Alabama
*
Department of Economics, Finance and Legal Studies, Culverhouse College of Business, University of Alabama, Tuscaloosa, AL 35487, USA. e-mail: xliu121@ua.edu.

Abstract

This paper studies asymmetric dynamics of real GDP growth by estimating linear and nonlinear quantile persistence over different parts of the conditional distribution for six major developed economies. Several novel quantile-based hypotheses are motivated in this paper and tested for the steepness asymmetry of real GDP growth that hypothesizes that contractions are steeper than expansions. The empirical results show that quantile persistence is generally high at far lower tails, thus requiring much longer half-lives to reverting negative deviations to the mean of real GDP growth and hence leading to gradual economic recoveries. By contrast, less persistence in far upper tails tends to generate sharp and short economic downturns that adjust positive deviations towards the mean of real GDP growth so as to cause abrupt economic recessions. In particular, this asymmetry in quantile persistence strongly supports the steepness asymmetry conjecture, robust to the presence of structural breaks and potential nonlinearities in real GDP growth.

Type
Articles
Copyright
© 2019 Cambridge University Press

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References

Adrian, T. and Brunnermeier, M. K. (2016) CoVaR. American Economic Review 106(7), 17051741.CrossRefGoogle Scholar
Alessi, L. and Detken, C. (2014) Identifying Excessive Credit Growth and Leverage. European Central Bank Working Paper Series: No. 1723/August 2014.Google Scholar
Bai, J. (1997) Estimating multiple breaks one at a time. Econometric Theory 13, 315352.CrossRefGoogle Scholar
Bai, J. and Perron, P. (1998) Estimating and testing linear models with multiple structural changes. Econometrica 66, 4778.Google Scholar
Bai, J. and Perron, P. (2003a) Computation and analysis of multiple structural change models. Journal of Applied Econometrics 18, 122.CrossRefGoogle Scholar
Bai, J. and Perron, P. (2003b) Critical values for multiple structural change tests. Econometrics Journal 6(1), 7278.CrossRefGoogle Scholar
Beaudry, P. and Koop, G. (1993) Do recessions permanently change output? Journal of Monetary Economics 31, 149163.CrossRefGoogle Scholar
Brunnermeier, M. K., Dong, G. N. and Palia, D. (2012) Banks’ Non-interest Income and Systemic Risk. Working Paper. AFA 2012 Chicago Meetings Paper. Available at SSRN: https://ssrn.com/abstract=1786738CrossRefGoogle Scholar
Cai, Y. and Stander, J. (2008) Quantile self-exciting threshold autoregressive time series models. Journal of Time Series Analysis 29(1), 186202.CrossRefGoogle Scholar
Chauvet, M. (1998) An econometric characterization of business cycle dynamics with factor structure and regime Switching. International Economic Review 39(4), 969996.CrossRefGoogle Scholar
Chevapatrakul, T. and Paez-Farrell, J. (2014) Monetary policy reaction functions in small open economies: A quantile regression approach. The Manchester School 82(2), 237256.CrossRefGoogle Scholar
Choi, C., Mark, N. C. and Sul, D. (2004) Unbiased Estimation of the Half-life to PPP Convergence in Panel Data. NBER Working Paper Series: No. 10614.Google Scholar
Cicek, S. and Akar, C. (2013) The asymmetry of inflation adjustment in Turkey. Economic Modelling 31, 104118.CrossRefGoogle Scholar
Clements, M. P. and Krolzig, H. (2003) Business cycle asymmetries: Characterization and testing based on Markov-switching autoregressions. Journal of Business & Economic Statistics 21(1), 196211.CrossRefGoogle Scholar
Cristadoro, R., Saporito, G. and Venditti, F. (2013) Forecasting inflation and tracking monetary policy in the Euro area: Does national information help? Empirical Economics 44(3), 10651086.CrossRefGoogle Scholar
Diebold, F. X. and Rudebusch, G. D. (1996) Measuring business cycles: A modern perspective. The Review of Economics and Statistics 78(1), 6777.CrossRefGoogle Scholar
Ebell, M. (2001) Why Are Asset Returns More Volatile during Recessions? A Theoretical Explanation. Studienzentrum Gerzensee Working Paper: No. 01.01.Google Scholar
Elwood, S. K. (1998) Is the persistence of shocks to output asymmetric? Journal of Monetary Economics 41, 411426.CrossRefGoogle Scholar
Falk, B. (1986) Further evidence on the asymmetric behavior of economic time series over the business cycle. Journal of Political Economy 94, 10961109.CrossRefGoogle Scholar
Ferreira, M. S. (2011) Capturing asymmetry in real exchange rate with quantile autoregression. Applied Economics 43, 327340.CrossRefGoogle Scholar
Filardo, A. J. (1994) Business-cycle phases and their transitional dynamics. Journal of Business & Economic Statistics 12(3), 299308.Google Scholar
Gale, D. (1996) Delay and cycles. Review of Economic Studies 63, 169198.CrossRefGoogle Scholar
Galvao, A. F., Montes-Rojas, G. and Olmo, J. (2011) Threshold quantile autoregressive models. Journal of Time Series Analysis 32, 253267.CrossRefGoogle Scholar
Hamilton, J. D. (1989) A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica 57(2), 357384.CrossRefGoogle Scholar
Hamilton, J. D. (2016) Macroeconomic regimes and regime shifts. In: Taylor, J. and Uhlig, H. (eds.), Handbook of Macroeconomics, Vol. 2, pp. 163201. Amsterdam, The Netherlands: Elsevier Science Publishers.Google Scholar
Herbst-Murphy, S. (2015) Trends and Preferences in Consumer Payments: Updates from the Visa Payment Panel Study. Federal Reserve Bank of Philadelphia Working Paper: No. 15–02.Google Scholar
Hess, G. D. and Iwata, S. (1997) Asymmetric persistence in GDP? A deeper look at depth. Journal of Monetary Economics 40, 535554.CrossRefGoogle Scholar
Higgins, P. and Zha, T. (2015). China’s Macroeconomic Time Series: Methods and Implications. Federal Reserve Bank of Atlanta Working Paper.CrossRefGoogle Scholar
Higgins, P., Zha, T. and Zhong, K. (2016) Forecasting China’s Economic Growth and Inflation. Federal Reserve Bank of Atlanta Working Paper 2016–7.CrossRefGoogle Scholar
Jovanovic, B. (2006) Asymmetric cycles. The Review of Economic Studies 73(1), 145162.Google Scholar
Kim, C. and Piger, J. (2002) Common stochastic trends, common cycles, and asymmetry in economic fluctuations. Journal of Monetary Economics 49, 11891211.Google Scholar
Knüppel, M. (2009) Testing business cycle asymmetries based on autoregressions with a Markov-switching intercept. Journal of Business & Economic Statistics 27(4), 544552.CrossRefGoogle Scholar
Koenker, R. and Xiao, Z. (2004) Unit root quantile autoregression inference. Journal of the American Statistical Association 99(467), 775787.CrossRefGoogle Scholar
Koenker, R. (2005) Quantile Regression. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Koenker, R. and Xiao, Z. (2006) Quantile autoregression. Journal of the American Statistical Association 101(475), 980990.CrossRefGoogle Scholar
Kunkler, M. and MacDonald, R. (2015) Half-lives of currencies and aggregation bias. Economics Letters 135, 5860.CrossRefGoogle Scholar
Liu, X. (2016) Markov switching quantile autoregression. Statistica Neerlandica 70(4), 356395.CrossRefGoogle Scholar
Liu, X. (2017) Measuring systemic risk with regime switching in tails. Economic Modelling 67, 5572.CrossRefGoogle Scholar
Liu, X. (2018) How is the Taylor rule distributed under endogenous monetary regimes? International Review of Finance 18(2), 305316.CrossRefGoogle Scholar
Manzan, S. and Zerom, D. (2015) Asymmetric quantile persistence and predictability: The case of US inflation. Oxford Bulletin of Economics and Statistics 77(2), 297318.CrossRefGoogle Scholar
McConnell, M. M. and Perez-Quiros, G. (2000) Output fluctuations in the United States: What has changed since the early 1980’s? The American Economic Review 90(5), 14641476.CrossRefGoogle Scholar
McQueen, G. and Thorley, S. (1993) Asymmetric business cycle turning points. Journal of Monetary Economics 31, 341362.CrossRefGoogle Scholar
Murray, C. J. and Papell, D. H. (2005) The purchasing power parity puzzle is worse than you think. Empirical Economics 30, 783790.CrossRefGoogle Scholar
Neftci, S. (1984) Are economic time series asymmetric over the business cycle? Journal of Political Economy 92, 307328.CrossRefGoogle Scholar
Nelson, D. B. (1991) Conditional heteroskedasticity in asset returns: A new approach. Econometrica 59, 347370.CrossRefGoogle Scholar
Nelson, C. R., Piger, J. and Zivot, E. (2001) Markov regime switching and unit-root tests. Journal of Business & Economic Statistics 19(4), 404415.CrossRefGoogle Scholar
Nieuwerburgh, S. and Veldkamp, L. (2006) Learning asymmetries in real business cycles. Journal of Monetary Economics 53, 753772.CrossRefGoogle Scholar
Nikolaou, K. (2008) The behaviour of the real exchange rate: Evidence from regression quantiles. Journal of Banking & Finance 32, 664679.CrossRefGoogle Scholar
Ordonez, G. (2013) The asymmetric effects of financial frictions. Journal of Political Economy 121(5), 844895.CrossRefGoogle Scholar
Perron, P. (1989) The great crash, the oil price shock, and the unit root hypothesis. Econometrica 57, 13611401.CrossRefGoogle Scholar
Psaradakis, Z. and Sola, M. (2003) On detrending and cyclical asymmetry. Journal of Applied Econometrics 18, 271289.CrossRefGoogle Scholar
Ramsey, J. B. and Rothman, P. (1996) Time irreversibility and business cycle asymmetry. Journal of Money, Credit and Banking 28, 121.CrossRefGoogle Scholar
Razzak, W. A. (2001) Business cycle asymmetries: International evidence. Review of Economic Dynamics 4(1), 230243.CrossRefGoogle Scholar
Rossi, B. (2005) Confidence intervals for half-life deviations from purchasing power parity. Journal of Business & Economic Statistics 23(4), 432442.CrossRefGoogle Scholar
Sichel, D. E. (1993) Business cycle asymmetry: A deeper look. Economic Inquiry 31(2), 224236.CrossRefGoogle Scholar
Tsong, C. and Lee, C. (2011) Asymmetric inflation dynamics: Evidence from quantile regression analysis. Journal of Macroeconomics 33, 668680.CrossRefGoogle Scholar
Ullah, A. (2005) Asymmetry of business cycles: The Markov-switching approach. In: Ullah, A., Wan, A. T. K. and Chaturvedi, A. (eds.), Handbook of Applied Econometrics and Statistical Inference. New York: Marcel Dekker, Inc.Google Scholar
Verbrugge, R. and Verbrugge, R. (1997) Investigating cyclical asymmetries. Studies in Nonlinear Dynamics & Econometrics 2(1), 110.Google Scholar
Wolters, M. H. (2012) Estimating monetary policy reaction functions using quantile regressions. Journal of Macroeconomics 34, 342–261.Google Scholar
Wolters, M. H. and Tillmann, P. (2015) The changing dynamics of US inflation persistence: A quantile regression approach. Studies in Nonlinear Dynamics & Econometrics 19(2), 161182.Google Scholar
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