Envejecimiento y precio de la vivienda en EspañaUn ejercicio de modelización dinámica

  1. Díaz Fernández, Montserrat 1
  2. Llorente Marrón, María del Mar 1
  3. Méndez Rodriguez, María Paz 1
  4. Taltavull de la Paz, Paloma 2
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

  2. 2 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

Zeitschrift:
Anales de ASEPUMA

ISSN: 2171-892X

Datum der Publikation: 2020

Nummer: 28

Art: Artikel

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Zusammenfassung

In the analysis of the demographic evolution and economic situation, the economic changes that precede and induce it and the demographic context that precedes, accompanies and causes its development are fully justified. The dynamics, evolution and demographic behavior determine the housing services demanded. In the economic literature, the combination of the life cycle hypothesis and the models of overlapping generations suggest that demographic aging influences the determination of the price of housing. In this work, the relationship between aging and the price of housing, in Spain during the period 1995-2017, is analyzed empirically based on a dynamic interrelation model between the real estate cycle and the age structure of the population following the traditional methodology of the studies of time series.

Bibliographische Referenzen

  • Ando, A.; Modigliani, F. (1963). The ‘‘Life Cycle’’ hypothesis of saving: aggregate implications and tests. The American Economic Review, 53 (1), 55–84.
  • Brumberg, R.H.; Modigliani, F. (1954). Utility Analysis and the Consumption Function: An Interpretation of Cross-Section Data. In: Kurihara, K.K., Ed., PostKeynesian Economics, Rutgers University Press, New Brunswick, 388-436.
  • Clark, W.; Dieleman, F. (1996). Households and housing: Choice and outcomes in the housing market. New Brunswick: Centre for Urban Policy Research.
  • D’Albis, H.; Djemai, E. (2017). Evolutions démographiques et marché de l’immobilier neuf. DOCUMENT DE TRAVAIL DT/2017-15. Université Paris.
  • Di Pasquale, D.; Wheaton, W. (1994). “Housing Market Dynamics and the Future of Housing Prices.” Journal of Urban Economics 35 (1), 1–27.
  • Díaz, M.; Llorente, M.; Méndez, P. (2016). “¿Condiciona la población la dinámica de la actividad inmobiliaria? Un análisis de cointegración para el caso español”, Investigación económica, LXXV (297), 103-124.
  • Eichholtz, P.; Lindenthal, T. (2014). “Demographics, human capital, and the demand for housing.” Journal of Housing Economics, 26,19-32.
  • Engelhardt, G.; Poterba, J.M. (1991). “Demographics and House Prices: The Canadian Evidence.” Regional Science and Urban Economics, 21 (4), 539–546.
  • Engle, R.; Granger, C. (1987). “Co-Integration and Error Correction: Representation, Estimation, and Testing.” Econometrica, 55 (2), 251-276.
  • Esping-Andersen G. (ed). (2007). Family Formation and Family Dilemmas in Contemporary Europe. Fundación BBVA. Bilbao.
  • Essafi, Y.; Simon, A. (2017). “Concurrence générationnelle et prix immobiliers.” Revue d’Economie Régionale et Urbaine, 2017(1), 109–140.
  • Feijten, P.; Mulder, C. (2002). “The timing of household events and housing events in the Netherlands: A longitudinal perspective”. Housing Studies, 17, 773-792.
  • Fortin, M.; Leclerc, A. (2002). Demographic changes and real houses prices in Canada. Working Paper, 6. Sherbrooke Department of Economics, University of Sherbrooke.
  • Hendershott, P. H. (1991). “Are Real House Prices Likely to Decline by 47 Percent?” Regional Science and Urban Economics 21 (3), 553–563.
  • Holland, S. A. (1991). “The Baby-Boom and the Housing Market: Another Look at the Evidence”. Regional Science and Urban Economics 21 (4), 565–571.
  • Johansen, S. (1988). Statistical analysis of cointegration vectors, Journal of Economics Dynamics and Control nº 12.
  • Johansen, S. (1992). Determination of cointegration rank in the presence of a linear trend, Oxford Bulletin of Economics and Statistics, Vol. 54, nº3, pp. 383-398.
  • Kryvobokov, M.; Pradella, S. (2016). Vieillissement de la population et prix immobiliers residentiels. Modélisation à l’échelle des arrondissements belges. Note de recherche n°02 CEHD.
  • Kurz, K.; Blossfeld, H.P. (2004). Home Ownership and Social Inequality in Comparative Perspective, Stanford University Press.
  • Lee, G.; Schmidt-Dengler, P.; Felderer, B.; Helmenstein, C. (2001). “Austrian Demography and Housing Demand: Is There a Connection?”. Empirica 28 (3), 259–276.
  • Lindh, T.; Malmberg, B. (2008). “Demography and housing demand-what can we learn from residential construction data?” Journal of Population Economics, 21 (3), 521-539.
  • Mankiw, N.G.; Weil, D.N. (1989). The baby boom, the baby hust and the housing market. Regional Science and Urban Economic, 19 (2), 235-258.
  • Monnet, E.; Wolf, C. (2016). Demographic Cycle, Migration and Housing Investment: A Causal Examination. Working papers 591, Banque de France.
  • Myers, D. (1990). Housing demography: Linking demographic structure and housing markets. Madison, Wisc.: University of Wisconsin Press.
  • Nagahata, T.; Saita, Y.; Sekine, T.; Tachibana, T. (2004). Equilibrium land prices of Japanese prefectures: A panel cointegration analysis. Bank of Japan Working Paper Series, No. 04-E-9.
  • Nakamura, K.; Saita, Y. (2007). Land Prices and Fundamentals. Bank of Japan, Working Paper Series 07-E-8.
  • Neuteboom, P.; Brounen, B. (2010). Assessing the accessibility of the homeownership market. Urban studies, 48(11), 2231-2248.
  • Ohtake, F.; Shintani, M. (1996). “The Effect of Demographics on the Japanese Housing Market.” Regional Science and Urban Economics 26 (2), 189–201.
  • Shimizu, C.; Watanabe, T. (2010). “Housing Bubble in Japan and the United States.” Public Policy Review 6 (3), 431–472.
  • Vinuesa, J. (2008). “Prospectiva demográfica y mercado de la vivienda”. Revista Clm. economía, 11, 139-164.
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