{"title":"What factors drive house prices in the USA Sign restricted VAR approach","authors":"Jinwoong Lee","doi":"10.1007/s00181-023-02533-4","DOIUrl":null,"url":null,"abstract":"<p>This study explores house price fluctuations in the USA and shed light on which factor is the main contributor driving house prices. In order to decompose the changes in house prices, structural vector autoregression with sign restrictions for the US housing market is applied. In addition to including housing market-based fundamental variables such as the number of housing permits, housing rent prices, house prices, a measure of credit conditions, and the housing sentiment index are also included to distinguish four different shocks, namely housing supply shocks, shocks to the housing service demand, credit shocks, and speculative demand shocks. Empirical findings show that the main contributors to house price fluctuations are credit shocks and housing supply shocks in the long-run. In addition, while housing supply and credit conditions are the most important contributors during the boom, the contributions of credit conditions and speculative demand become larger after the boom. In fact, credit conditions are the largest contributor during the post-boom period.</p>","PeriodicalId":11642,"journal":{"name":"Empirical Economics","volume":"7 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Empirical Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s00181-023-02533-4","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study explores house price fluctuations in the USA and shed light on which factor is the main contributor driving house prices. In order to decompose the changes in house prices, structural vector autoregression with sign restrictions for the US housing market is applied. In addition to including housing market-based fundamental variables such as the number of housing permits, housing rent prices, house prices, a measure of credit conditions, and the housing sentiment index are also included to distinguish four different shocks, namely housing supply shocks, shocks to the housing service demand, credit shocks, and speculative demand shocks. Empirical findings show that the main contributors to house price fluctuations are credit shocks and housing supply shocks in the long-run. In addition, while housing supply and credit conditions are the most important contributors during the boom, the contributions of credit conditions and speculative demand become larger after the boom. In fact, credit conditions are the largest contributor during the post-boom period.
期刊介绍:
Empirical Economics publishes high quality papers using econometric or statistical methods to fill the gap between economic theory and observed data. Papers explore such topics as estimation of established relationships between economic variables, testing of hypotheses derived from economic theory, treatment effect estimation, policy evaluation, simulation, forecasting, as well as econometric methods and measurement. Empirical Economics emphasizes the replicability of empirical results. Replication studies of important results in the literature - both positive and negative results - may be published as short papers in Empirical Economics. Authors of all accepted papers and replications are required to submit all data and codes prior to publication (for more details, see: Instructions for Authors).The journal follows a single blind review procedure. In order to ensure the high quality of the journal and an efficient editorial process, a substantial number of submissions that have very poor chances of receiving positive reviews are routinely rejected without sending the papers for review.Officially cited as: Empir Econ