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Further Evidence On The Spatio‐Temporal Model Of House Prices In The United States

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  • Badi H. Baltagi
  • Jing Li

Abstract

SUMMARY Holly, Pesaran, and Yamagata (Journal of Econometrics 2010; 158 : 160–173) use a panel of 49 states over the period 1975–2003 to show that state‐level real housing prices are driven by economic fundamentals, such as real per capita disposable income, as well as by common shocks, such as changes in interest rates, oil prices and technological change. They apply the common correlated effects estimator of Pesaran (Econometrica 2006; 74 (4): 967–101), which takes into account spatial interactions that reflect both geographical proximity and unobserved common factors. This paper replicates their results using a panel of 381 metropolitan statistical areas observed over the period 1975–2011. Our replication shows that their results are fairly robust to the more geographically refined cross‐section units, and to the updated period of study. Copyright © 2013 John Wiley & Sons, Ltd.

Suggested Citation

  • Badi H. Baltagi & Jing Li, 2014. "Further Evidence On The Spatio‐Temporal Model Of House Prices In The United States," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 515-522, April.
  • Handle: RePEc:wly:japmet:v:29:y:2014:i:3:p:515-522
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    Cited by:

    1. Temple, Jonathan & Van de Sijpe, Nicolas, 2017. "Foreign aid and domestic absorption," Journal of International Economics, Elsevier, vol. 108(C), pages 431-443.
    2. Raffaele Mattera & Philipp Otto, 2023. "Network log-ARCH models for forecasting stock market volatility," Papers 2303.11064, arXiv.org.
    3. Hao Hao & Bai Huang & Tae-Hwy Lee, 2022. "Model Averaging Estimation of Panel Data Models with Many Instruments and Boosting," Working Papers 202212, University of California at Riverside, Department of Economics.
    4. Baltagi, Badi H. & Li, Jing, 2015. "Cointegration of matched home purchases and rental price indexes — Evidence from Singapore," Regional Science and Urban Economics, Elsevier, vol. 55(C), pages 80-88.
    5. MeiChi Huang, 2019. "A Nationwide or Localized Housing Crisis? Evidence from Structural Instability in US Housing Price and Volume Cycles," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1547-1563, April.
    6. MeiChi Huang, 2022. "Time‐varying roles of housing risk factors in state‐level housing markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4660-4683, October.
    7. Qi Li & Vasilis Sarafidis & Joakim Westerlund, 2021. "Essays in honor of Professor Badi H Baltagi," Empirical Economics, Springer, vol. 60(1), pages 1-11, January.
    8. MeiChi Huang, 2021. "Regime switches and permanent changes in impacts of housing risk factors on MSA‐level housing returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 310-342, January.
    9. Li, Qi & Sarafidis, Vasilis & Westerlund, Joakim, 2020. "Essays in Honor of Professor Badi H Baltagi: Editorial," MPRA Paper 104751, University Library of Munich, Germany.
    10. Girum Dagnachew Abate, 2017. "Spatio-temporal dynamics of house prices in the USA," Letters in Spatial and Resource Sciences, Springer, vol. 10(2), pages 141-147, July.
    11. Kuangyu Wen & Ximing Wu & David J. Leatham, 2021. "Spatially Smoothed Kernel Densities with Application to Crop Yield Distributions," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 26(3), pages 349-366, September.
    12. Márcio Poletti Laurini, 2017. "A continuous spatio-temporal model for house prices in the USA," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 58(1), pages 235-269, January.
    13. Girum D. Abate & Luc Anselin, 2016. "House price fluctuations and the business cycle dynamics," CREATES Research Papers 2016-06, Department of Economics and Business Economics, Aarhus University.

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