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Measuring Chinese consumers’ perceived uncertainty

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  • Lee, Kiryoung
  • Jeon, Yoontae

Abstract

An unanticipated change in consumers’ view on the expected economic condition has the potential to provide information about the degree of economic uncertainty. Based on this intuition, we construct a monthly time-varying Chinese economic uncertainty measure using the Chinese Consumer Opinion Survey data from September 2002 to June 2018. Our economic uncertainty measure varies counter-cyclically and has strong predictive power for future recessions, GDP, consumption, industrial production, trade, and stock prices, even after controlling for other uncertainty indices. Moreover, we confirm that our economic uncertainty measure does not vary in response to real economic activities, but it rather precedes future real economic activities. Finally, we find that a shock to our uncertainty measure significantly reduces future Chinese GDP and consumption as well as US production, CPI, export, and import. The effect of our uncertainty index shock is stronger and longer-lasting on both Chinese and US economies than the realized variance of the stock market returns or the economic policy uncertainty index.

Suggested Citation

  • Lee, Kiryoung & Jeon, Yoontae, 2020. "Measuring Chinese consumers’ perceived uncertainty," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 51-70.
  • Handle: RePEc:eee:reveco:v:66:y:2020:i:c:p:51-70
    DOI: 10.1016/j.iref.2019.10.012
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    as
    1. N. Bloom, 2016. "Fluctuations in uncertainty," Voprosy Ekonomiki, NP Voprosy Ekonomiki, issue 4.
    2. Angus Moore, 2017. "Measuring Economic Uncertainty and Its Effects," The Economic Record, The Economic Society of Australia, vol. 93(303), pages 550-575, December.
    3. Susanto Basu & Brent Bundick, 2017. "Uncertainty Shocks in a Model of Effective Demand," Econometrica, Econometric Society, vol. 85, pages 937-958, May.
    4. Nicholas Bloom & Max Floetotto & Nir Jaimovich & Itay Saporta†Eksten & Stephen J. Terry, 2018. "Really Uncertain Business Cycles," Econometrica, Econometric Society, vol. 86(3), pages 1031-1065, May.
    5. Kiryoung LEE & Chanik JO, 2018. "Forecasting Chinese Business Cycle Using Long-term Interest Rate Comovements," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 118-134, December.
    6. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    7. Bekaert, Geert & Hoerova, Marie & Lo Duca, Marco, 2013. "Risk, uncertainty and monetary policy," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 771-788.
    8. Wei, Yanfeng, 2019. "Oil price shocks, economic policy uncertainty and China’s trade: A quantitative structural analysis," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 20-31.
    9. Pástor, Ľuboš & Veronesi, Pietro, 2013. "Political uncertainty and risk premia," Journal of Financial Economics, Elsevier, vol. 110(3), pages 520-545.
    10. Itzhak Ben-David & Elyas Fermand & Camelia M. Kuhnen & Geng Li, 2018. "Expectations Uncertainty and Household Economic Behavior," NBER Working Papers 25336, National Bureau of Economic Research, Inc.
    11. Chuliá, Helena & Guillén, Montserrat & Uribe, Jorge M., 2017. "Measuring uncertainty in the stock market," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 18-33.
    12. Bekaert, Geert & Engstrom, Eric & Xing, Yuhang, 2009. "Risk, uncertainty, and asset prices," Journal of Financial Economics, Elsevier, vol. 91(1), pages 59-82, January.
    13. Christopher D. Carroll & Andrew A. Samwick, 1998. "How Important Is Precautionary Saving?," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 410-419, August.
    14. Scott R. Baker & Nicholas Bloom & Steven J. Davis, 2016. "Measuring Economic Policy Uncertainty," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(4), pages 1593-1636.
    15. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    16. John Y. Campbell & John Cochrane, 1999. "Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behavior," Journal of Political Economy, University of Chicago Press, vol. 107(2), pages 205-251, April.
    17. He, Qing & Liu, Fangge & Qian, Zongxin & Tai Leung Chong, Terence, 2017. "Housing prices and business cycle in China: A DSGE analysis," International Review of Economics & Finance, Elsevier, vol. 52(C), pages 246-256.
    18. Whitney K. Newey & Kenneth D. West, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(4), pages 631-653.
    19. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    20. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    21. Karl Taylor & Robert McNabb, 2007. "Business Cycles and the Role of Confidence: Evidence for Europe," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(2), pages 185-208, April.
    22. Estrella, Arturo & Hardouvelis, Gikas A, 1991. "The Term Structure as a Predictor of Real Economic Activity," Journal of Finance, American Finance Association, vol. 46(2), pages 555-576, June.
    23. Born, Benjamin & Pfeifer, Johannes, 2014. "Policy risk and the business cycle," Journal of Monetary Economics, Elsevier, vol. 68(C), pages 68-85.
    24. Jae Sim & Egon Zakrajsek & Simon Gilchrist, 2010. "Uncertainty, Financial Frictions, and Investment Dynamics," 2010 Meeting Papers 1285, Society for Economic Dynamics.
    25. Michael Lemmon & Evgenia Portniaguina, 2006. "Consumer Confidence and Asset Prices: Some Empirical Evidence," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1499-1529.
    26. Idriss Fontaine & Laurent Didier & Justinien Razafindravaosolonirina, 2017. "Foreign policy uncertainty shocks and US macroeconomic activity: Evidence from China," Post-Print hal-03571723, HAL.
    27. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    28. Fontaine, Idriss & Didier, Laurent & Razafindravaosolonirina, Justinien, 2017. "Foreign policy uncertainty shocks and US macroeconomic activity: Evidence from China," Economics Letters, Elsevier, vol. 155(C), pages 121-125.
    29. Dongfeng Chang & Ryan S. Mattson & Biyan Tang, 2019. "The Predictive Power of the User Cost Spread for Economic Recession in China and the US," IJFS, MDPI, vol. 7(2), pages 1-12, June.
    30. David S. Bates, 2006. "Maximum Likelihood Estimation of Latent Affine Processes," The Review of Financial Studies, Society for Financial Studies, vol. 19(3), pages 909-965.
    31. Guseon Ji & Daniel Sungyeon Kim & Kwangwon Ahn, 2019. "Financial Structure and Systemic Risk of Banks: Evidence from Chinese Reform," Sustainability, MDPI, vol. 11(13), pages 1-22, July.
    32. Arturo Estrella & Mary R. Trubin, 2006. "The yield curve as a leading indicator: some practical issues," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 12(Jul).
    33. Choi, Sangyup, 2017. "Variability in the effects of uncertainty shocks: New stylized facts from OECD countries," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 127-144.
    34. Hayne E. Leland, 1968. "Saving and Uncertainty: The Precautionary Demand for Saving," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 82(3), pages 465-473.
    35. Fontaine, Idriss & Razafindravaosolonirina, Justinien & Didier, Laurent, 2018. "Chinese policy uncertainty shocks and the world macroeconomy: Evidence from STVAR," China Economic Review, Elsevier, vol. 51(C), pages 1-19.
    36. Geert Bekaert & Eric Engstrom, 2017. "Asset Return Dynamics under Habits and Bad Environment-Good Environment Fundamentals," Journal of Political Economy, University of Chicago Press, vol. 125(3), pages 713-760.
    37. Leduc, Sylvain & Liu, Zheng, 2016. "Uncertainty shocks are aggregate demand shocks," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 20-35.
    38. Jeffrey E. Jarrett & Xia Pan & Shaw Chen, 2009. "Do the Chinese Bourses (Stock Markets) Predict Economic Growth?," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 8(3), pages 201-211, December.
    39. Balcilar, Mehmet & Gupta, Rangan & Kim, Won Joong & Kyei, Clement, 2019. "The role of economic policy uncertainties in predicting stock returns and their volatility for Hong Kong, Malaysia and South Korea," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 150-163.
    40. Bachmann, Rüdiger & Bayer, Christian, 2013. "‘Wait-and-See’ business cycles?," Journal of Monetary Economics, Elsevier, vol. 60(6), pages 704-719.
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    More about this item

    Keywords

    Uncertainty; Economic uncertainty index; Consumer opinion survey; Production;
    All these keywords.

    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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