
handle: 10419/79485
Recent episodes of housing bubbles, which occurred in several economies after the burst of the United States housing market, suggest studying the evolution of housing prices from a global perspective. We utilise a theoretical model for the purposes of this contribution, which identifies the main drivers of housing price appreciation, such as, for example, income, residential investment, financial elements, fiscal policy and demographics. In a second stage of our analysis, we test our theoretical hypothesis by means of a sample of 18 OECD countries from 1970 to 2011. We employ the vector error correction econometric technique in terms of our empirical analysis, which permits us to model the long-run equilibrium relationship and the short-run dynamics, which also helps to account for endogeneity and reverse causality problems.
empirical modeling, R31, ddc:330, vector error correction modeling, 38 Economics, OECD countries, 3801 Applied Economics, 3802 Econometrics, housing market, 3803 Economic Theory, Generic health relevance, Empirical Modeling; Housing Market; Vector Error Correction Modeling; OECD Countries, C22, jel: jel:C22, jel: jel:R31
empirical modeling, R31, ddc:330, vector error correction modeling, 38 Economics, OECD countries, 3801 Applied Economics, 3802 Econometrics, housing market, 3803 Economic Theory, Generic health relevance, Empirical Modeling; Housing Market; Vector Error Correction Modeling; OECD Countries, C22, jel: jel:C22, jel: jel:R31
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