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Is There a Real Estate Bubble in the Czech Republic? Petr Zemčík MILANO, ERES 2010.

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Presentation on theme: "Is There a Real Estate Bubble in the Czech Republic? Petr Zemčík MILANO, ERES 2010."— Presentation transcript:

1 Is There a Real Estate Bubble in the Czech Republic? Petr Zemčík MILANO, ERES 2010

2 Real Estate Price Indexes in Central and Eastern Europe YearBulgariaCREst.HungaryLatviaSR 199742 199850 199950 20008751 200189786888 2002898489909872 2003100 2004148116128109108115 2005202119167110137104 2006231130254109271121 2007298173280111150 2008373220259112

3 Real Estate Bubbles  Discrepancy between property prices and model implied prices reflecting fundamental factors.  Widely used models: - Supply-demand model. Gallin (2006), Mikhed and Zemčík (2009, JHE) -Present-value model. Rent is the only factor. Campbell and Shiller (1987), Wang (2000), Mikhed and Zemčík (2009, JREFE)

4 Panel data tests  Unit roots - Im, Pesaran, and Shin (2003), Pesaran (2007)  Regional correlation – Pesaran (2004)  Applications, US data – Malpezzi (1999), Gallin (2006), Mikhed and Zemčík (2009 JHE, JREFE)  Granger causality tests – Hurlin (2004), Hurlin and Venet (2004), Arellano and Bond (1991)

5 Present-value model

6 Econometric Methodology

7 Apartment prices, 335 regions, Czech Republic

8 Rents, 335 regions, Czech Republic

9 Price-to-rent ratios, 335 regions, Czech Republic

10 Apartment prices, 46 Prague districts

11 Rents, 46 Prague districts

12 Price-to-rent ratios, 46 Prague districts

13 Panel data unit root tests TestSpecificationPricesRentsP/R Prague CIPSInt., trend, CADF(0)-2.74**-2.11-2.00 CIPSInt., trend, CADF(1)-2.90***-3.09***-2.35 IPSInt., trend, ADF(1)1.00-2.66***-1.13 Czech Rep. CIPSNo int., no trend, CADF(0)-1.44*-0.92-1.07 CIPSNo int., no trend, CADF(1)-1.56**-0.83-1.12 CIPSInt., no trend, CADF(0)-2.61**-1.42 CIPSInt., no trend, CADF(1)-3.03***-2.03-1.56 CIPSInt., trend, CADF(0)-2.51-1.22-2.59 IPSInt., no trend, ADF(1)16.287.1214.41 IPSInt., trend, ADF(1)1.84-14.167.56

14 Results  Apartment prices both in the Czech Republic overall and in its capital are only slightly overvalued.  Changes in prices are helpful in predicting changes in rents and vice versa.  Application in countries with large rental markets: e.g. majority of original EU members plus CR and Poland


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