Do Climate Risks Predict US Housing Returns and Volatility? Evidence from a Quantiles-Based Approach
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More about this item
Keywords
Physical and transitional climate risks; US housing returns and volatility; higher-order nonparametric causality-in-quantiles test; natural disasters and global warming; US climate policy and international summits;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
- 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
- Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
- R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2022-10-10 (Energy Economics)
- NEP-ENV-2022-10-10 (Environmental Economics)
- NEP-FMK-2022-10-10 (Financial Markets)
- NEP-RMG-2022-10-10 (Risk Management)
- NEP-URE-2022-10-10 (Urban and Real Estate Economics)
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