Skip to main content
Log in

Effects of the housing price to income ratio on tenure choice in Taiwan: forecasting performance of the hierarchical generalized linear model and traditional binary logistic regression model

  • Article
  • Published:
Journal of Housing and the Built Environment Aims and scope Submit manuscript

Abstract

This study examined factors that influence the tenure choices of households in different counties and cities of Taiwan. Data collected in the Housing Status Survey by the Construction and Planning Agency of the Ministry of the Interior were analyzed using hierarchical generalized linear modeling (HGLM). The study designated the household sector as a unit at level 1 and counties and cities as a unit at level 2, with the difference among the counties and cities accounting for 9% of the total variation in rental and purchase decisions. Based on the empirical results, tenure choice was positively and significantly affected by such level-1 factors as gender, age, educational level, area per capita, number of rooms per capita, private loans, and permanent income. The level-2 attribute variable, the housing price to income ratio, had a significant negative effect on tenure choice; a higher ratio of housing price to income resulted in a higher preference among households toward leasing in their lease-or-buy decisions. With regard to the forecast ability comparison, the hit rate of HGLM (90.10%) was higher than that of the binary logistic regression model (87.26%). In terms of the forecasting accuracy evaluated using four measures of association, HGLM outperformed the traditional binary logistic regression model. Based on tenfold cross-validation, HGLM also showed a better hit rate than the traditional binary logistic regression model, meaning that the evaluation results had both robustness and reliability.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. DGBAS, Executive Yuan. Accessed August 27, 2014, at http://www.dgbas.gov.tw/mp.asp?mp=1.

  2. CPA, Ministry of the Interior. Accessed August 27, 2014, at http://www.cpami.gov.tw/chinese/index.php.

  3. Data source: http://pip.moi.gov.tw/V2/E/SCRE0201.aspx (accessed August 27, 2014).

References

  • Barrios, V. E., Colom, M. C., & Moles, M. C. (2013). Life cycle and housing decisions: A comparison by age cohorts. Applied Economics, 45(32), 4556–4568.

    Article  Google Scholar 

  • Brooks, C. (2008). Introductory econometrics for finance (2nd ed.). Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Chambers, M. S., Garriga, C., & Schlagenhauf, D. (2009). The loan structure and housing tenure decisions in an equilibrium model of mortgage choice. Review of Economic Dynamics, 3(12), 444–468.

    Article  Google Scholar 

  • Chou, W. L., & Shih, Y. C. (1995). Hong Kong housing markets: Overview, tenure choice, and housing demand. The Journal of Real Estate Finance and Economics, 10(1), 7–21.

    Article  Google Scholar 

  • Clark, W. A., Deurloo, M. C., & Dieleman, F. M. (2000). Housing consumption and residential crowding in US housing markets. Journal of Urban Affairs, 22(1), 49–63.

    Article  Google Scholar 

  • Clark, W. A. V., & Dieleman, F. M. (1996). Households and housing: Choice and outcomes in the housing market. New Brunswick: New Jersey Rutgers University, Center for Urban Policy Research.

    Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd ed.). Hillsdale: Psychology Press.

    Google Scholar 

  • Construction and Planning Agency, Ministry of the Interior, Retrieved August, 2014, from http://www.cpami.gov.tw/chinese/index.php.

  • Deurloo, M. C., Dieleman, F. M., & Clark, W. A. V. (1987). Tenure choice in the Dutch housing market. Environment and Planning A, 19(6), 763–781.

    Article  Google Scholar 

  • Directorate-General of Budget, Accounting and Statistics, Executive Yuan, Retrieved August, 2014, from http://www.dgbas.gov.tw/mp.asp?mp=1.

  • Eilbott, P., & Binkowski, E. S. (1985). The determinants of SMSA homeownership rates. Journal of Urban Economics, 17(3), 293–304.

    Article  Google Scholar 

  • Fu, Q., Zhu, Y., & Ren, Q. (2015). The downside of marketization: A multilevel analysis of housing tenure and types in reform-era urban China. Social Science Research, Elsevier, 49, 126–140.

    Article  Google Scholar 

  • Głuszak, M. (2015). Multinomial logit model of housing demand in Poland. Real Estate Management and Valuation, 23(1), 84–89.

    Article  Google Scholar 

  • Goodman, A. C. (1988). An econometric model of housing price, permanent income, tenure choice, and housing demand. Journal of Urban Economics, 23(3), 327–353.

    Article  Google Scholar 

  • Goodman, A. C. (2003). Following a panel of stayers: Length of stay, tenure choice, and housing demand. Journal of Housing Economics, 12(2), 106–133.

    Article  Google Scholar 

  • Goodman, A. C., & Thibodeau, T. G. (1995). Age-related heteroskedasticity in hedonic house price equations. Journal of Housing Research, 6(1), 25–42.

    Google Scholar 

  • Hamizah, A. F., & Abdul, G. S. (2015). Factors affecting residential mobility among households in Penang, Malaysia. Asian Conference on Environment-Behaviour Studies, 170, 516–526.

    Google Scholar 

  • Henley, A. (1998). Residential mobility, housing equity and the labour market. The Economic Journal, 108(447), 414–427.

    Article  Google Scholar 

  • Hsueh, L. M., & Chen, H. L. (1997). Changes in the home-ownership rate in Taiwan in the 1980s. Journal of Housing Prices, 6, 27–48.

    Google Scholar 

  • Hsueh, L. M., & Chen, H. L. (1998). A comparison of household expenditure by tenure choice-Taiwan evidence. Journal of Housing Prices, 7, 21–40.

    Article  Google Scholar 

  • Hsueh, L. M., & Chen, H. L. (1999). An analysis of home-ownership rate changes in Taiwan in the 1980s. Asian Economic Journal, 13(4), 367–388.

    Article  Google Scholar 

  • Huang, Y., & Clark, W. A. V. (2002). Housing tenure choice in transitional urban China: A multilevel analysis. Urban Studies, 39(1), 7–32.

    Article  Google Scholar 

  • Ioannides, Y. M., & Kan, K. (1996). Structural estimation of residential mobility and housing tenure choice. Journal of Regional Science, 36(3), 335–363.

    Article  Google Scholar 

  • Jimenez, E., & Keare, D. H. (1984). Housing consumption and permanent income in developing countries: Estimates from panel data in El Salvador. Journal of Urban Economics, 15(2), 172–194.

    Article  Google Scholar 

  • Kan, K. (1999). Expected and unexpected residential mobility. Journal of Urban Economics, 45(1), 72–96.

    Article  Google Scholar 

  • Kan, K. (2000). Dynamic modeling of housing tenure choice. Journal of Urban Economics, 48(1), 46–69.

    Article  Google Scholar 

  • Lang, B. J., & Hurst, E. H. (2014). The effect of down payment assistance on mortgage choice. The Journal of Real Estate Finance and Economics, 49, 329–351.

    Article  Google Scholar 

  • Lee, C. C., Ho, Y. M., & Chiu, H. Y. (2016). Role of personal conditions, housing properties, private loans, and housing tenure choice. Habitat International, 53, 301–311.

    Article  Google Scholar 

  • Lin, C. C., & Lin, S. C. (1992). Effect of environmental quality and public facilities on housing prices and rents in regions of Taiwan. Journal of Housing Studies, 1, 21–45.

    Google Scholar 

  • Linneman, P., & Wachter, S. (1989). The impacts of borrowing constraints on homeownership. Real Estate Economics, 17(4), 389–402.

    Article  Google Scholar 

  • Liu, L., Winter, C., & Zilibotti, F. (2015). Housing and wealth accumulation in urban China, before and after the 1994 housing reform. Working paper, Department of Economics, University of Zurich.

  • Madigan, R., Munro, M., & Smith, S. J. (1990). Gender and the meaning of the home. International Journal of Urban and Regional Research, 14(4), 625–647.

    Article  Google Scholar 

  • Morrow-Jones, H. A. (1988). The housing life-cycle and the transition from renting to owning a home in the United States: A multistate analysis. Environment and Planning A, 20, 1165–1184.

    Article  Google Scholar 

  • Muthoka, S. (2015). Household demand for housing in Kenya. Munich Personal RePEc archive paper no. 65469.

  • Neter, J., Wasserman, W., & Kutner, M. H. (1990). Applied linear statistical models (3rd ed.). Illinois: Irwin.

    Google Scholar 

  • Nguyen, N., & Cripps, A. (2001). Predicting housing value: A comparison of multiple regression analysis and artificial neural networks. Journal of Real Estate Research, 22(3), 313–336.

    Google Scholar 

  • Peng, C. W., & Tsai, I. C. (2012). Long-term relationships between housing affordability and homeownership rates: An application of panel cointegration model. Journal of Housing Prices, 2, 1–28.

    Google Scholar 

  • Real Estate Information Platform, Ministry of the Interior. (2005). Retrieved August 27, 2014, from http://pip.moi.gov.tw/V2/E/SCRE0201.aspx.

  • Sanchez, T. W., & Dawkins, C. J. (2001). Distinguishing city and suburban movers: Evidence from the American Housing Survey. Housing Policy Debate, 12(3), 607–631.

    Article  Google Scholar 

  • Shefer, D. (1990). The demand for housing, and permanent income. Indonesia. Urban Studies, 27(2), 259–272.

    Article  Google Scholar 

  • Špalková, D., & Špalek, J. (2012). Factors of the tenure choice: The case of the Czech Republic. Brno: Masaryk University.

    Google Scholar 

  • Subhan, S., & Ahman, E. (2012). The economic and demographic effects on housing tenure choice in Pakistan. American International Journal of Contemporary Research, 2(7), 15–24.

    Google Scholar 

  • Tiwari, P. (2000). Housing demand in Tokyo. International Real Estate Review, 3(1), 65–92.

    Google Scholar 

  • Uno, H., Cai, T., Pencina, M. J., Agostino, R. B., & Wei, L. J. (2011). On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data. Statistics in Medicine, 30(10), 1105–1117.

    Google Scholar 

  • Wang, W., Gan, C., Li, Z., Cohen, D. A., & Tran, M. C. (2015). Accessibility of homeownership in Urban China: An empirical study of borrower characteristics and the housing provident fund. Available at SSRN 2564806.

  • Wen, F. H. (2006). Principles, methods and applications of hierarchical linear modeling. Taipei: YehYeh Book Gallery.

    Google Scholar 

  • Wheaton, W. C., & DiPasquale, D. (1996). Urban economics and real estate markets. Englewood Cliffs, NJ: Prentice Hall.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chun-Chang Lee.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lee, CC., Liang, CM., Chen, JZ. et al. Effects of the housing price to income ratio on tenure choice in Taiwan: forecasting performance of the hierarchical generalized linear model and traditional binary logistic regression model. J Hous and the Built Environ 33, 675–694 (2018). https://doi.org/10.1007/s10901-017-9572-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10901-017-9572-3

Keywords

JEL Classification

Navigation