Housing Price Index, Wealth, and Protective Shield against Covid-19
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Abstract
This paper aims to fill two purposes: 1) we document that housing price index between different cities have inter-correlation. This means that when the housing price in one city goes up the other city follows. However, in the case of a big city and a small city, the housing price index of small city follows the path of housing price index in the small city. 2) The housing price index is a measure of wellbeing and wealth of residents. At the onset of a pandemic, wealthy and richer people have a wealth-protective shield against the disease. We show that this is the case in the US. We document that higher housing price indexes are associated with lower confirmed case of Covid-19 and lower risks of death due to the disease.
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References
Babacar Diakhaté. (2020). Cultural Diversity, Ethnocentrism and Terrorism in Mukoma WA Ngugi’s Black Star Nairobi (2013). Britain International of Humanities and Social Sciences (BIoHS) Journal, 2(2), 367–373. https://doi.org/10.33258/biohs.v2i2.234
Butsic, V., Hanak, E., & Valletta, R. G. (2011). Climate change and housing prices: Hedonic estimates for ski resorts in western North America. Land Economics, 87(1), 75–91. https://doi.org/10.3368/le.87.1.75
Case, A., Lubotsky, D., & Paxson, C. (2002). Economic status and health in childhood: The origins of the gradient. American Economic Review, 92(5), 1308–1334. https://doi.org/10.1257/000282802762024520
Chiappori, P. A., Iyigun, M., & Weiss, Y. (2009). Investment in schooling and the marriage market. American Economic Review, 99(5), 1689–1713. https://doi.org/10.1257/aer.99.5.1689
Chowdhury, R. A., & Maclennan, D. (2014). Regional house price cycles in the UK, 1978-2012: A Markov switching VAR. Journal of European Real Estate Research, 7(3), 345–366. https://doi.org/10.1108/JERER-02-2014-0014
Cut Alma Nuraflah. (2020). Communication Strategy of the Chinese Feather Village Towards Prosperous Village. Britain International of Humanities and Social Sciences (BIoHS) Journal, 2(2), 374–380. https://doi.org/10.33258/biohs.v2i2.235
Feler, L., & Senses, M. Z. (2017). Trade shocks and the provision of local public goods. American Economic Journal: Economic Policy, 9(4), 101–143. https://doi.org/10.1257/pol.20150578
Hsu, J. W., Matsa, D. A., & Melzer, B. T. (2018). Unemployment insurance as a housing market stabilizer. American Economic Review, 108(1), 49–81. https://doi.org/10.1257/aer.20140989
Iacoviello, M. (2005). House prices, borrowing constraints, and monetary policy in the business cycle. In American Economic Review (Vol. 95, Issue 3, pp. 739–764). https://doi.org/10.1257/0002828054201477
Iacoviello, M., & Neri, S. (2010). Housing market spillovers: Evidence from an estimated DSGE model. American Economic Journal: Macroeconomics, 2(2), 125–164. https://doi.org/10.1257/mac.2.2.125
İşleyen, Ş., & Hassoo, A. K. (2020). The Impact of the University in Increasing the Book Reading on Students: Case Study Soran University. SIASAT, 5(4), 51–58. https://doi.org/10.33258/siasat.v5i4.70
Luttmer, E. F. P., & Singhal, M. (2011). Culture, context, and the taste for redistribution. American Economic Journal: Economic Policy, 3(1), 157–179. https://doi.org/10.1257/pol.3.1.157
Makinde, O. O. (2020). Prefiguring Housing Quality in Urban Communities in Ibadan Nigeria. SIASAT, 5(4), 65–76. https://doi.org/10.33258/siasat.v5i4.72
Meen, G. (1999). Regional house prices and the ripple effect: A new interpretation. Housing Studies, 14(6), 733–753. https://doi.org/10.1080/02673039982524
NoghaniBehambari, H., Salari, M., Noghani, F., & Tavassoli, N. (2020). The Effect of Temperature on COVID-19 Confirmed Cases: Evidence from US Counties. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3636662
Phillips, S. C.-, Deb Proshad Halder, Serlange Campbell, & Daneil Phillips. (2020). Cross Cultural Differences in Cognition: A Study on How Culture Affects the Way We Think. SIASAT, 5(3), 9–15. https://doi.org/10.33258/siasat.v5i3.64
SEER. (2019). Surveillance, Epidemiology, and End Results (SEER) Program (www.seer.cancer.gov) Research Data (1975-2016). National Cancer Institute, DCCPS, Surveillance Research Program.
USA-Facts. (2020). US Coronavirus Cases and Deaths | USAFacts. https://usafacts.org/visualizations/coronavirus-covid-19-spread-map
Vladimir Valentinovich Kozhevnikov. (2020). About Some Actual Problems of the Methodology of Research of State Legal Phenomena. Konfrontasi: Jurnal Kultural, Ekonomi Dan Perubahan Sosial, 7(4), 275–281. https://doi.org/10.33258/konfrontasi2.v7i4.125