What Can Fifty-Two Collateralizable Wealth Measures Tell Us About Future Housing Market Returns? Evidence from U.S. State-Level Data
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DOI: 10.1007/s11146-019-09733-9
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- Mehmet Balcilar & Rangan Gupta & Ricardo M. Sousa & Mark E. Wohar, 2019. "What can Fifty-Two Collateralizable Wealth Measures tell us about Future Housing Market Returns? Evidence from U.S. State-Level Data," Working Papers 201974, University of Pretoria, Department of Economics.
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Cited by:
- Lake, A., 2020. "Behavioural Finance at Home: Testing Deviations of House Prices from their Fundamental Values," Cambridge Working Papers in Economics 20104, Faculty of Economics, University of Cambridge.
- Balcilar, Mehmet & Gupta, Rangan & Sousa, Ricardo M. & Wohar, Mark E., 2021.
"Linking U.S. State-level housing market returns, and the consumption-(Dis)Aggregate wealth ratio,"
International Review of Economics & Finance, Elsevier, vol. 71(C), pages 779-810.
- Mehmet Balcilar & Rangan Gupta & Ricardo M. Sousa & Mark E. Wohar, 2020. "Linking U.S. State-Level Housing Market Returns and the Consumption-(Dis)Aggregate Wealth Ratio," Working Papers 202094, University of Pretoria, Department of Economics.
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More about this item
Keywords
Housing wealth-to-income ratio; Housing returns; Forecasting regression;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
Statistics
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