A. M. Igamo, A. Azwardi, Ardi Saputra, Rizky Ghoffar Ismail, Gustriani Gustriani, Vinny Dwi Melliny
{"title":"Monetary Policy and Demographics: Empirical Evidence for Housing Prices in Indonesia","authors":"A. M. Igamo, A. Azwardi, Ardi Saputra, Rizky Ghoffar Ismail, Gustriani Gustriani, Vinny Dwi Melliny","doi":"10.29259/sijdeb.v6i4.371-384","DOIUrl":null,"url":null,"abstract":"The housing market in Indonesia has different characteristics for each region. These differences underlie changes in house prices, factors that affect house prices include Loan to Value (LTV), mortgage rate, income, and population. The data was obtained from relevant agencies of Bank Indonesia and the Statistics Indonesia, using data from 2012-2021, which is a combination of time-series data and a cross-section of 18 cities in Indonesia. The research method used is a regression panel. The results of the study of income levels, population, and Loan to Ratio (LTV) are significant to house prices, except for mortgage rates which not be effective in depressing housing price during the observation period.","PeriodicalId":32395,"journal":{"name":"Sriwijaya International Journal of Dynamic Economics and Business","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sriwijaya International Journal of Dynamic Economics and Business","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29259/sijdeb.v6i4.371-384","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The housing market in Indonesia has different characteristics for each region. These differences underlie changes in house prices, factors that affect house prices include Loan to Value (LTV), mortgage rate, income, and population. The data was obtained from relevant agencies of Bank Indonesia and the Statistics Indonesia, using data from 2012-2021, which is a combination of time-series data and a cross-section of 18 cities in Indonesia. The research method used is a regression panel. The results of the study of income levels, population, and Loan to Ratio (LTV) are significant to house prices, except for mortgage rates which not be effective in depressing housing price during the observation period.
印度尼西亚的住房市场在每个地区都有不同的特点。这些差异是房价变化的基础，影响房价的因素包括贷款价值比(LTV)、抵押贷款利率、收入和人口。数据来自印度尼西亚银行和印度尼西亚统计局的相关机构，使用2012-2021年的数据，该数据结合了时间序列数据和印度尼西亚18个城市的横截面。研究方法采用回归面板法。所得水平、人口、贷款比率(Loan to Ratio, LTV)的研究结果对房价有显著影响，但在观察期内，抵押贷款利率对抑制房价没有效果。
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