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Causal relationships between economic policy uncertainty and housing market returns in China and India: evidence from linear and nonlinear panel and time series models

Author

Listed:
  • Chow Sheung-Chi

    (Research Institute for Business, Hang Seng Management College, Sha Tin, Hong Kong)

  • Cunado Juncal

    (Facultad de Ciencias Economicas y Empresariales, Universidad de Navarra, Pamplona, Spain)

  • Gupta Rangan

    (Department of Economics, University of Pretoria, Pretoria, South Africa)

  • Wong Wing-Keung

    (Department of Finance, Asia University, Taichung, Taiwan)

Abstract

In this paper, we modify the multivariate nonlinear causality test to be panel nonlinear causality test and we apply these and other existing related tests to examine the causal relationship between growth in economic policy uncertainty (EPU) and real housing returns in China and India using quarterly data from 2003:01 to 2012:04. Both panel linear and nonlinear Granger causality tests suggest the existence of only linear and nonlinear unidirectional causality relationships from growth in EPU to real housing returns in both China and India, and bivariate linear Granger causality tests suggest the existence of only linear unidirectional causality relationship from growth in EPU to real housing returns only in China. However, nonlinear bivariate Granger causality tests conclude the existence of nonlinear bidirectional causality relationships between growth in EPU and real housing returns in both China and India and cross bivariate linear and nonlinear Granger causality tests discover that there is only a linear causality relationship from Indian growth in EPU to Chinese housing returns. The results confirm the relevance of EPU data to better understand and predict the future behaviour of housing market returns in these countries.

Suggested Citation

  • Chow Sheung-Chi & Cunado Juncal & Gupta Rangan & Wong Wing-Keung, 2018. "Causal relationships between economic policy uncertainty and housing market returns in China and India: evidence from linear and nonlinear panel and time series models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(2), pages 1-15, April.
  • Handle: RePEc:bpj:sndecm:v:22:y:2018:i:2:p:15:n:2
    DOI: 10.1515/snde-2016-0121
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    Cited by:

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    2. Oguzhan Cepni & Rangan Gupta & Yigit Onay, 2022. "The role of investor sentiment in forecasting housing returns in China: A machine learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(8), pages 1725-1740, December.
    3. Zhihui Lv & Amanda M. Y. Chu & Michael McAleer & Wing-Keung Wong, 2019. "Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality," IJERPH, MDPI, vol. 16(21), pages 1-35, October.
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    5. Balcilar, Mehmet & Roubaud, David & Uzuner, Gizem & Wohar, Mark E., 2021. "Housing sector and economic policy uncertainty: A GMM panel VAR approach," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 114-126.
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    8. Oguzhan Cepni & Hardik A. Marfatia & Rangan Gupta, 2025. "The time-varying impact of uncertainty shocks on the co-movement of regional housing prices of the United Kingdom," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-22, December.
    9. Goodness C. Aye & Rangan Gupta, 2019. "Macroeconomic Uncertainty And The Comovement In Buying Versus Renting In The Usa," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(3), pages 93-121, September.
    10. Chu, Amanda M.Y. & Lv, Zhihui & Wagner, Niklas F. & Wong, Wing-Keung, 2020. "Linear and nonlinear growth determinants: The case of Mongolia and its connection to China," Emerging Markets Review, Elsevier, vol. 43(C).
    11. Chow, Sheung Chi & Vieito, João Paulo & Wong, Wing Keung, 2019. "Do both demand-following and supply-leading theories hold true in developing countries?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 536-554.
    12. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Tinbergen Institute Discussion Papers 18-024/III, Tinbergen Institute.
    13. Linyan Dai & Xin Sheng, 2021. "The Impact of Uncertainty on State-Level Housing Markets of the United States: The Role of Social Cohesion," Sustainability, MDPI, vol. 13(6), pages 1-9, March.
    14. Riza Demirer & Rangan Gupta & Zhihui Lv & Wing-Keung Wong, 2019. "Equity Return Dispersion and Stock Market Volatility: Evidence from Multivariate Linear and Nonlinear Causality Tests," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
    15. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    16. Goodness C. Aye & Rangan Gupta, 2018. "Macroeconomic Uncertainty and the Comovement in Buying versus Renting in the United States," Working Papers 201832, University of Pretoria, Department of Economics.
    17. Ahmed Ali & Granberg Mark & Troster Victor & Uddin Gazi Salah, 2022. "Asymmetric dynamics between uncertainty and unemployment flows in the United States," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(1), pages 155-172, February.
    18. Wenjing Xie & João Paulo Vieito & Ephraim Clark & Wing-Keung Wong, 2020. "Could Mergers Become More Sustainable? A Study of the Stock Exchange Mergers of NASDAQ and OMX," Sustainability, MDPI, vol. 12(20), pages 1-25, October.
    19. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    20. Xia, Tongshui & Yao, Chen-Xi & Geng, Jiang-Bo, 2020. "Dynamic and frequency-domain spillover among economic policy uncertainty, stock and housing markets in China," International Review of Financial Analysis, Elsevier, vol. 67(C).
    21. Afees A. Salisu & Rangan Gupta & Ahamuefula E. Ogbonna & Mark E. Wohar, 2022. "Uncertainty and predictability of real housing returns in the United Kingdom: A regional analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(7), pages 1525-1556, November.
    22. Yin, Xiao-Cui & Li, Xin & Wang, Min-Hui & Qin, Meng & Shao, Xue-Feng, 2021. "Do economic policy uncertainty and its components predict China's housing returns?," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    23. Xiaoguang Liu & Jian Yu & Tsun Se Cheong & Michal Wojewodzki, 2022. "The Future Evolution of Housing Price-to-Income Ratio in 171 Chinese Cities," Annals of Economics and Finance, Society for AEF, vol. 23(1), pages 159-196, May.
    24. Isiaka Akande Raifu, 2023. "Examining structural stability and time-varying causality between economic policy uncertainty and Asia-Pacific Islamic stock price," Economics Bulletin, AccessEcon, vol. 43(1), pages 28-37.
    25. Long, Shaobo & Xue, Ning & Zhang, Yuan, 2025. "The divergence of China’s prices under economic policy uncertainty shock: A time-varying perspective," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).

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    Keywords

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    JEL classification:

    • 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
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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