Christophe André , Christina Christou , Rangan Gupta
{"title":"利用房价水平数据重新审视国际房价趋同问题","authors":"Christophe André , Christina Christou , Rangan Gupta","doi":"10.1016/j.ecosys.2024.101181","DOIUrl":null,"url":null,"abstract":"<div><p>The literature on house price<span><span> convergence largely relies on house price indices, based in an arbitrary year, rather than on actual price levels. This is essentially due to the scarcity of comparable house price level data. However, this severely constrains the analysis. In particular, it often forces to discard a large part of the data sample, which leads to a great loss of information and hampers analysis on sub-periods. In this paper, we combine the price level estimates produced by Bricongne et al. (2019) with long </span>OECD<span> house price series to analyse long-run house price convergence across 18 OECD countries. Applying the Phillips and Sul (2007) procedure, we find convergence in OECD nominal house prices, but two separate convergence clubs in real house prices. We find some convergence in euro area real house prices, but no evidence of strengthening after the introduction of the euro. β-convergence regressions (linking changes in house prices to their initial levels) point to conditional convergence, related to the evolution of gaps in real GDP per capita, long-term interest rates and population growth across countries.</span></span></p></div>","PeriodicalId":51505,"journal":{"name":"Economic Systems","volume":"48 2","pages":"Article 101181"},"PeriodicalIF":2.8000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Revisiting international house price convergence using house price level data\",\"authors\":\"Christophe André , Christina Christou , Rangan Gupta\",\"doi\":\"10.1016/j.ecosys.2024.101181\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The literature on house price<span><span> convergence largely relies on house price indices, based in an arbitrary year, rather than on actual price levels. This is essentially due to the scarcity of comparable house price level data. However, this severely constrains the analysis. In particular, it often forces to discard a large part of the data sample, which leads to a great loss of information and hampers analysis on sub-periods. In this paper, we combine the price level estimates produced by Bricongne et al. (2019) with long </span>OECD<span> house price series to analyse long-run house price convergence across 18 OECD countries. Applying the Phillips and Sul (2007) procedure, we find convergence in OECD nominal house prices, but two separate convergence clubs in real house prices. We find some convergence in euro area real house prices, but no evidence of strengthening after the introduction of the euro. β-convergence regressions (linking changes in house prices to their initial levels) point to conditional convergence, related to the evolution of gaps in real GDP per capita, long-term interest rates and population growth across countries.</span></span></p></div>\",\"PeriodicalId\":51505,\"journal\":{\"name\":\"Economic Systems\",\"volume\":\"48 2\",\"pages\":\"Article 101181\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economic Systems\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0939362524000037\",\"RegionNum\":2,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Systems","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0939362524000037","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Revisiting international house price convergence using house price level data
The literature on house price convergence largely relies on house price indices, based in an arbitrary year, rather than on actual price levels. This is essentially due to the scarcity of comparable house price level data. However, this severely constrains the analysis. In particular, it often forces to discard a large part of the data sample, which leads to a great loss of information and hampers analysis on sub-periods. In this paper, we combine the price level estimates produced by Bricongne et al. (2019) with long OECD house price series to analyse long-run house price convergence across 18 OECD countries. Applying the Phillips and Sul (2007) procedure, we find convergence in OECD nominal house prices, but two separate convergence clubs in real house prices. We find some convergence in euro area real house prices, but no evidence of strengthening after the introduction of the euro. β-convergence regressions (linking changes in house prices to their initial levels) point to conditional convergence, related to the evolution of gaps in real GDP per capita, long-term interest rates and population growth across countries.
期刊介绍:
Economic Systems is a refereed journal for the analysis of causes and consequences of the significant institutional variety prevailing among developed, developing, and emerging economies, as well as attempts at and proposals for their reform. The journal is open to micro and macro contributions, theoretical as well as empirical, the latter to analyze related topics against the background of country or region-specific experiences. In this respect, Economic Systems retains its long standing interest in the emerging economies of Central and Eastern Europe and other former transition economies, but also encourages contributions that cover any part of the world, including Asia, Latin America, the Middle East, or Africa.