References
- Abraham, J. M., and P. H. Hendershott. 1996. “Bubbles in Metropolitan Housing Markets.” Journal of Housing Research 7 (2):191–207.
- André, C., L. Bonga-Bonga, R. Gupta, and J. W. Muteba Mwamba. 2017. “Economic Policy Uncertainty, U.S. Real Housing Returns and Their Volatility: A Nonparametric Approach.” Journal of Real Estate Research 39 (4):493–513.
- Antonakakis, N., R. Gupta, and C. André. 2015. “Dynamic Co-Movements between Economic Policy Uncertainty and Housing Market Returns.” Journal of Real Estate Portfolio Management 21 (1):53–60. doi:https://doi.org/10.1080/10835547.2015.12089971
- Apergis, N., A. Cooray, and M. U. Rehman. 2018. “Do Energy Prices Affect U.S. Investor Sentiment?” Journal of Behavioral Finance 19 (2):125–40. doi:https://doi.org/10.1080/15427560.2017.1373354
- Baker, S. R., N. Bloom, and S. J. Davis. 2016. “Measuring Economic Policy Uncertainty.” The Quarterly Journal of Economics 131 (4):1593–636. As updated on www.policyuncertainty.com. doi:https://doi.org/10.1093/qje/qjw024
- Barsky, R. B., and E. R. Sims. 2012. “Information, Animal Spirits, and the Meaning of Innovations in Consumer Confidence.” American Economic Review 102 (4):1343–77. doi:https://doi.org/10.1257/aer.102.4.1343
- Bernanke, B. 1983. “Irreversibility, Uncertainty, and Cyclical Investment.” The Quarterly Journal of Economics 98 (1):85– 106. doi:https://doi.org/10.2307/1885568
- Boivin, J. 2006. “Has US Monetary Policy Changed? Evidence from Drifting Coefficients and Real-Time Data.” Journal of Money, Credit and Banking 38 (5):1149–73.
- Bork, L., S. V. Møller, and T. Q. Pedersen. 2020. “A New Index of Housing Sentiment.” Management Science 66 (4):1563–83. doi:https://doi.org/10.1287/mnsc.2018.3258
- Capozza, D., and H. Helsley. 1990. “The Stochastic City.” Journal of Urban Economics 28 (2):187–203. doi:https://doi.org/10.1016/0094-1190(90)90050-W
- Carroll, C., J. Fuhrer, and D. Wilcox. 1994. “Does Consumer Sentiment Forecast Household Spending? If so, Why?” The American Economic Review 84 (5):1397–408.
- Chen, R., and J. S. Liu. 2000. “Mixture Kalman Filters.” Journal of the Royal Statistical Society: Series B (Statistical Methodology) 62 (3):493–508. doi:https://doi.org/10.1111/1467-9868.00246
- Christou, C., R. Gupta, and W. Nyakabawo. 2019. “Time-Varying Impact of Uncertainty Shocks on the US Housing Market.” Economics Letters 180:15–20. doi:https://doi.org/10.1016/j.econlet.2019.03.029
- Ercolani, V., and F. Natoli. 2020. “Forecasting US Recessions: The Role of Economic Uncertainty.” Economics Letters 193:109302 doi:https://doi.org/10.1016/j.econlet.2020.109302
- Fuhrer, J. C. 1993. “What Role Does Consumer Sentiment Play in the U.S. Macroeconomy?” New England Economic Review January/February, 32–44.
- Hymans, S. H., G. Ackley, and F. T. Juster. 1970. “Consumer Durable Spending: Explanation and Prediction.” Brookings Papers on Economic Activity 1970 (2):173–206. doi:https://doi.org/10.2307/2534239
- Jurado, K., S. C. Ludvigson, and S. Ng. 2015. “Measuring Uncertainty.” American Economic Review 105 (3):1177–216. doi:https://doi.org/10.1257/aer.20131193
- Juster, F. T., P. Wachtel, S. Hymans, and J. Duesenberry. 1972. “Inflation and the Consumer.” Brookings Papers on Economic Activity 1972 (1):71–121. doi:https://doi.org/10.2307/2534115
- Karnizova, L., and J. Li. 2014. “Economic Policy Uncertainty, Financial Markets and Probability of US Recessions.” Economics Letters 125 (2):261–5. doi:https://doi.org/10.1016/j.econlet.2014.09.018
- Katona, G. 1975. Psychological Economics. New York: Elsevier Scientific Publishing.
- Kindleberger, C. P., and R. Z. Aliber. 2005. Manias, Panics, and Crashes, A History of Financial Crises, 5th Ed. Hoboken, N. J.: John Wiley and Sons, Inc.
- Kishor, N. K., and H. A. Marfatia. 2013. “The Time-Varying Response of Foreign Stock Markets to US Monetary Policy Surprises: Evidence from the Federal Funds Futures Market.” Journal of International Financial Markets, Institutions and Money 24:1–24. doi:https://doi.org/10.1016/j.intfin.2012.11.004
- Korobilis, D. 2013. “Assessing the Transmission of Monetary Policy Using Time‐Varying Parameter Dynamic Factor Models.” Oxford Bulletin of Economics and Statistics 75 (2):157–79. doi:https://doi.org/10.1111/j.1468-0084.2011.00687.x
- Koop, G., and D. Korobilis. 2012. “Forecasting Inflation Using Dynamic Model Averaging.” International Economic Review 53 (3):867–86. doi:https://doi.org/10.1111/j.1468-2354.2012.00704.x
- Kurov, A. 2010. “Investor Sentiment and the Stock Market’s Reaction to Monetary Policy.” Journal of Banking & Finance 34 (1):139–49. doi:https://doi.org/10.1016/j.jbankfin.2009.07.010
- Lahiri, K., and Y. Zhao. 2016. “Determinants of Consumer Sentiment over Business Cycles: Evidence from the US Surveys of Consumers.” Journal of Business Cycle Research 12 (2):187–215. doi:https://doi.org/10.1007/s41549-016-0010-5
- Ling, D. C., J. T. Ooi, and T. T. Le. 2015. “Explaining House Price Dynamics: Isolating the Role of Nonfundamentals.” Journal of Money, Credit and Banking 47 (S1):87–125. doi:https://doi.org/10.1111/jmcb.12194
- Lovell, M. C. 1975. “Why Was the Consumer Feeling so Sad?” Brookings Papers on Economic Activity 1975 (2):473–9. doi:https://doi.org/10.2307/2534109
- Ludvigson, S., and S. Ng. “Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?” American Economic Journal: Macroeconomics. forthcoming.
- Ludvigson, S. C., and S. Ng. 2009. “Macro Factors in Bond Risk Premia.” Review of Financial Studies 22 (12):5027–67. doi:https://doi.org/10.1093/rfs/hhp081
- Ludvigson, S. C., and S. Ng. 2011. “A Factor Analysis of Bond Risk Premia.” In Handbook of Empirical Economics and Finance, edited by A. Ulah, and D. Giles, 313–72. London: Chapman and Hall.
- Lutz, C. 2015. “The Impact of Conventional and Unconventional Monetary Policy on Investor Sentiment.” Journal of Banking & Finance 61:89–105. doi:https://doi.org/10.1016/j.jbankfin.2015.08.019
- Marfatia, H. A. 2014. “Impact of Uncertainty on High Frequency Response of the US Stock Markets to the Fed’s Policy Surprises.” The Quarterly Review of Economics and Finance 54 (3):382–92. doi:https://doi.org/10.1016/j.qref.2013.12.003
- Marfatia, H. A. 2015. “Monetary Policy’s Time-Varying Impact on the US Bond Markets: Role of Financial Stress and Risks.” The North American Journal of Economics and Finance 34:103–23. doi:https://doi.org/10.1016/j.najef.2015.08.006
- Marfatia, H. 2020. “Forecasting Interconnections in International Housing Markets: Evidence from the Dynamic Model Averaging Approach.” Journal of Real Estate Research 42 (1):37–104. doi:https://doi.org/10.22300/0896-5803.42.1.37
- Marfatia, H. A., R. Gupta, and E. Cakan. 2017. “The International REIT’s Time-Varying Response to the US Monetary Policy and Macroeconomic Surprises.” The North American Journal of Economics and Finance 42:640–53. doi:https://doi.org/10.1016/j.najef.2017.09.007
- Marfatia, H. A., R. R. Gupta, and S. Miller. 2019. “125 Years of Time-Varying Effects of Fiscal Policy on Financial Markets.” Working paper, Northeastern Illinois University, no. 201956.
- Mbarek, L., H. A. Marfatia, and S. Juko. 2019. “Time-Varying Response of Treasury Yields to Monetary Policy Shocks.” Journal of Financial Regulation and Compliance 27 (4):422–42. doi:https://doi.org/10.1108/JFRC-11-2018-0146
- McCracken, W. 2007. “Asymptotics for out of Sample Tests of Granger Causality.” Journal of Econometrics 140 (2):719–52. doi:https://doi.org/10.1016/j.jeconom.2006.07.020
- McCracken, M. W., and S. Ng. 2016. “FRED-MD: A Monthly Database for Macroeconomic Research.” Journal of Business & Economic Statistics 34 (4):574–89.
- Meen, G. 1996. “Ten Propositions in UK Housing Macroeconomics: An Overview of the 1980s and Early 1990s.” Urban Studies 33 (3):425–44. doi:https://doi.org/10.1080/00420989650011843
- Mishkin, F. S., R. Hall, J. Shoven, T. Juster, and M. Lovell. 1978. “Consumer Sentiment and Spending on Consumer Durables.” Brookings Papers on Economic Activity 1978 (1):217–32. doi:https://doi.org/10.2307/2534366
- Muellbauer, J., and A. Murphy. 2008. “Housing Markets and the Economy: The Assessment.” Oxford Review of Economic Policy 24 (1):1–33. doi:https://doi.org/10.1093/oxrep/grn011
- Nguyen Thanh, B., J. Strobel, and G. Lee. 2020. “A New Measure of Real Estate Uncertainty Shocks.” Real Estate Economics 48 (3):744–71. doi:https://doi.org/10.1111/1540-6229.12270
- Pindyck, R. S. 1991. “Irreversibility, Uncertainty, and Investment.” Journal of Economic Literature 29 (3):1110–48.
- Raftery, A. E., M. Kárný, and P. Ettler. 2010. “Online Prediction under Model Uncertainty via Dynamic Model Averaging: Application to a Cold Rolling Mill.” Technometrics: A Journal of Statistics for the Physical, Chemical, and Engineering Sciences 52 (1):52–66. doi:https://doi.org/10.1198/TECH.2009.08104
- Rogers, J., and J. Xu. 2019. “How Well Does Economic Uncertainty Forecast Economic Activity?.” Finance and Economics Discussion Series 2019-085. Washington: Board of Governors of the Federal Reserve System.
- Shiller, R. J. 2008. “Historic Turning Points in Real Estate.” Eastern Economic Journal 34 (1):1–13. doi:https://doi.org/10.1057/palgrave.eej.9050001
- Soo, C. K. 2018. “Quantifying Sentiment with News Media across Local Housing Markets.” The Review of Financial Studies 31 (10):3689–719. doi:https://doi.org/10.1093/rfs/hhy036
- Strobel, J., B. Nguyen Thanh, and G. Lee. 2020. “Effects of Macroeconomic Uncertainty and Labor Demand Shocks on the Housing Market.” Real Estate Economics 48 (2):345–72. doi:https://doi.org/10.1111/1540-6229.12232
- Throop, A. W. 1992. “Consumer Sentiment: Its Causes and Effects.” Economic Review-Federal Reserve Bank of San Francisco 1:35–9.
- Wang, Y., F. Ma, Y. Wei, and C. Wu. 2016. “Forecasting Realized Volatility in a Changing World: A Dynamic Model Averaging Approach.” Journal of Banking & Finance 64:136–49. doi:https://doi.org/10.1016/j.jbankfin.2015.12.010
- Zhou, Z. 2018. “Housing Market Sentiment and Intervention Effectiveness: Evidence from China.” Emerging Markets Review 35:91–110.