References
- Adams, Z., & Füss, R. (2010). Macroeconomic determinants of international housing markets. Journal of Housing Economics, 12(23). https://doi.org/10.1016/j.jhe.2009.10.005
- Adkins, L. (2014). Using gretl for Principles of Econometrics. Oklahoma State University, Department of Economics and Legal Studies in Business.
- Altieri, M. A., & Nicholls, C. I. (2020). Agroecology and the emergence of a post COVID-19 agriculture. Agriculture and Human Values, 37(3), 525–526. https://doi.org/10.1007/s10460-020-10043-7
- Askitas, N. (2016). Trend-spotting in the housing market. Cityscape, 18(2), 165–178.
- Baek, S., Mohanty, S. K., & Glambosky, M. (2020). COVID-19 and stock market volatility: An industry level analysis. Finance Research Letters, 37, 101748. https://doi.org/https://doi.org/10.1016/j.frl.2020.10174810.1016/j.frl.2020.101748
- Baqaee, D., & Farhi, E. (2020). Supply and demand in disaggregated keynesian economies with an application to the COVID-19 crisis. National Bureau of Economic Research. http://www.nber.org/papers/w27152.pdf10.3386/w27152
- Bełej, M. (2022). Does google trends show the strength of social interest as a predictor of housing price dynamics? Sustainability, 14, 5601. https://doi.org/10.3390/SU14095601
- Beracha, E., & Wintoki, M. B. (2013). Forecasting residential real estate price changes from online search activity. Journal of Real Estate Research, 35(3), 283–312.10.1080/10835547.2013.12091364
- Bieda, A. (2017). Parametric model of real estate valuation for land located in different land-use zones. Geomatics and Environmental Engineering, 11(4).10.7494/geom.2017.11.4.17
- Bose, E., Hravnak, M., & Sereika, S. M. (2017). Vector autoregressive (VAR) models and granger causality in time series analysis in nursing research: dynamic changes among vital signs prior to cardiorespiratory instability events as an example. Nursing Research, 66(1), 12.10.1097/NNR.0000000000000193
- Bourne, L.S. (1981). The Geography of Housing (Hodder Education).
- Brooks, C. (2008). RATS Handbook to accompany introductory econometrics for finance. Cambridge Books.10.1017/CBO9780511814082
- Brzezicka, J., & Wisniewski, R. (2016).Translocality on the real estate market. Land Use Policy, 55, 166–181. https://doi.org/10.1016/j.landusepol.2016.03.031
- Cellmer, R., & Trojanek, R. (2019). Towards increasing residential market transparency: Mapping local housing prices and dynamics. ISPRS International Journal of Geo-Information, 9(1), 2.10.3390/ijgi9010002
- Cho, M., & Kim, K. H. (2012). Price dynamics in housing markets. International Encyclopedia of Housing and Home (pp. 361–366). https://doi.org/10.1016/B978-0-08-047163-1.00114-4
- Clements, M. P., & Mizon, G. E. (1991). Empirical analysis of macroeconomic time series: VAR and structural models. European Economic Review, 35(4), 887–917.10.1016/0014-2921(91)90042-H
- Galster, G. (1996). William Grigsby and the analysis of housing sub-markets and filtering. Urban Studies. https://doi.org/10.1080/0042098966376
- Gössling, S., Scott, D., & Hall, C. M. (2020). Pandemics, tourism and global change: a rapid assessment of COVID-19. Journal of Sustainable Tourism. https://doi.org/10.1080/09669582.2020.1758708
- Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424. https://doi.org/10.2307/1912791
- Griliches, Z., &Intriligator, M. D. (2007). Handbook of econometrics, Vol.2.Elsevier.
- Honoré, B., Vella, F., & Verbeek, M. (2008). Attrition, selection bias and censored regressions.In The Econometrics of Panel Data (pp. 385–418). Springer.10.1007/978-3-540-75892-1_12
- Kardeş, E., & Kardeş, S. (2021). Google searches for bruxism, teeth grinding, and teeth clenching during the COVID-19 pandemic. Journal of Orofacial Orthopedics = Fortschritte Der Kieferorthopadie : Organ/Official Journal Deutsche Gesellschaft Fur Kieferorthopadie. https://doi.org/10.1007/S00056-021-00315-0
- Kusideł, E. (2000). Modele wektorowo-autoregresyjne–VAR–metodologia i zastosowania,[w:] B. Suchecki (red.). Dane Panelowe i Modelowanie Wielowymiarowe w Badaniach Ekonomicznych, 3.
- Liew, V. K.-S. (2004). Which lag length selection criteria should we employ? Economics Bulletin, 3(33), 1–9.
- Lütkepohl, H. (2005). New introduction to multiple time series analysis. Springer Science & Business Media.10.1007/978-3-540-27752-1
- Matias, Y. (2013). Nowcasting with google trends. International Symposium on String Processing and Information Retrieval, 4.10.1007/978-3-319-02432-5_4
- Milo, W., Łapińska-Sobczak, N., Malaczewski, M., Szafrański, G., Ulrichs, M., & Wośko, Z. (2010). Stabilność rynków finansowych a wzrost gospodarczy. Wydawnictwo Naukowe PWN.
- Min, S.-O., & Lee, Y.-S. (2019). Korean housing market dynamics: A VAR analysis with sign restrictions. Journal of Real Estate Analysis, 5(1), 1–13.10.30902/jrea.2019.5.1.1
- Nuti, S., Wayda, B., Ranasinghe, I., Wang, S., Dreyer, R. P., Chen, S. I., & Murugiah, K. (2014). The use of google trends in health care research: a systematic review. PloS One, 9(10), e109583.10.1371/journal.pone.0109583
- Nykiel, L. (2012). Mieszkania na wynajem jako warunek rozwoju rynku mieszkaniowego. Studia i Materiały Towarzystwa Naukowego Nieruchomości, 20(3), 95–110.
- Önder, I., & Gunter, U. (2016). Forecasting tourism demand with google trends for a major European city destination. Tourism Analysis, 21(2–3), 203–220.10.3727/108354216X14559233984773
- Pfaff, B. (2008). VAR, SVAR and SVEC models: Implementation within R package vars. Journal of Statistical Software, 27(4), 1–32. https://doi.org/10.18637/jss.v027.i04
- Rącka, I., & Rehman, S. K. (2018). Housing market in capital cities – The case of Poland and Portugal. Geomatics and Environmental Engineering, 12(3), 75–87. https://doi.org/10.7494/geom.2018.12.3.75
- Rencher, A. C., &Schaalje, G. B. (2008). Linear models in statistics. John Wiley & Sons.
- Sharma, A., & Borah, S. B. (2020). COVID-19 and domestic violence: An indirect path to social and economic crisis. Journal of Family Violence. https://doi.org/10.1007/s10896-020-00188-8
- Sun, S., Wei, Y., Tsui, K.-L., & Wang, S. (2019). Forecasting tourist arrivals with machine learning and internet search index. Tourism Management, 70, 1–10.10.1016/j.tourman.2018.07.010
- Tanrıvermiş, H. (2020). Possible impacts of COVID-19 outbreak on real estate sector and possible changes to adopt: A situation analysis and general assessment on Turkish perspective. Journal of Urban Management, 9(3), 263–269. https://doi.org/10.1016/j.jum.2020.08.005
- Tomal, M. (2021). Modelling the impact of different COVID-19 pandemic waves on real estate stock returns and their volatility using a GJR-GARCHX approach: An international perspective. Journal of Risk and Financial Management 2021, Vol. 14, Page 374, 14(8), 374. https://doi.org/10.3390/JRFM14080374
- Tsai, H.-C., & Tsai, I.-C. (2018). Market depth in the UK housing market. Economic Research-EkonomskaIstraživanja, 31(1), 406–427. https://doi.org/10.1080/1331677X.2018.1429289
- Wang, B. (2021). How does COVID-19 affect house prices? A Cross-City Analysis. Journal of Risk and Financial Management, 14(2), 47. https://doi.org/10.3390/jrfm14020047
- Wu, S., Liu, J., &Liu, L. (2019). Modeling method of internet public information data mining based on probabilistic topic model. The Journal of Supercomputing, 75(9), 5882–5897.10.1007/s11227-019-02885-8