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<!doctype html> <html lang="zh"> <head> <title>Empirical Analysis of Average Area per Room and House Price | 108766</title> <meta name="keywords" content="Runsheng Rong*, Yushan Liu , Zhenhao Li, Shanshan Li, Jiahui Li, "/> <meta name="description" content="With the continuous warming and cyclical fluctuations of the real estate price in China the housing price is out of balance. The method about how to make r..108766"/> <meta name="citation_publisher" content="朗顿出版公司" /> <meta name="citation_journal_title" content="股票与外汇交易杂志"> <meta name="citation_title" content="Empirical Analysis of Average Area per Room and House Price based on Two-way Fixed Effects Model -Evidence from China"> <meta name="citation_author" content="Runsheng Rong" /> <meta name="citation_author" content="Yushan Liu" /> <meta name="citation_author" content="Zhenhao Li" /> <meta name="citation_author" content="Shanshan Li" /> <meta name="citation_author" content="Jiahui Li" /> <meta name="citation_year" content=""> <meta name="citation_volume" content="11"> <meta name="citation_issue" content="2"> <meta name="citation_abstract" content="With the continuous warming and cyclical fluctuations of the real estate price in China the housing price is out of balance. The method about how to make rational investment decisions has become a hot issue. Our paper aims to help people to scan properties for sale and filter out properties with the greatest potential for future appreciation so as to greatly improve the accuracy of investment decisions. This paper uses the data provided by Institute of Electrical and Electronics Engineers (IEEE) CyberC. Based on the daily data of China’s real estate prices and related influencing factors from 2012 to 2018, a mathematical model with e as the base is established for housing prices and related factors through empirical research. The ordinary least squares model with double fixed effects is used for regression model. The modeling passes the endogeneity test using instrumental variables, the heteroscedastcity test is used to verify and adjust the heteroscedastcity of the model and the Mean Absolute Deviation (MAD) test is carried out on the fit degree of the model. This paper draws the following conclusions: the model passes the significance test and there is no obvious endogenous problem. 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The method about how to make rational investment decisions has become a hot issue. Our paper aims to help people to scan properties for sale and filter out properties with the greatest potential for future appreciation so as to greatly improve the accuracy of investment decisions. This paper uses the data provided by Institute of Electrical and Electronics Engineers (IEEE) CyberC. Based on the daily data of China’s real estate prices and related influencing factors from 2012 to 2018, a mathematical model with e as the base is established for housing prices and related factors through empirical research. The ordinary least squares model with double fixed effects is used for regression model. The modeling passes the endogeneity test using instrumental variables, the heteroscedastcity test is used to verify and adjust the heteroscedastcity of the model and the Mean Absolute Deviation (MAD) test is carried out on the fit degree of the model. This paper draws the following conclusions: the model passes the significance test and there is no obvious endogenous problem. Finally the MAD test result is 0.2815.</p> <div class="alert alert-info text-left"><b>免责声明:</b> 此摘要通过人工智能工具翻译，尚未经过审核或验证.</div> <div class="nav social-icons"> <a class="nav-link w-auto">分享此文章</a> <a title="点击这里" target="_blank" href="https://www.facebook.com/sharer.php?u=https://chinese.longdom.org/abstract/empirical-analysis-of-average-area-per-room-and-house-price-based-on-twoway-fixed-effects-model-evidence-from-china-108766.html" rel="noopener"><i class="fab fa-facebook-f"></i></a> <a class="nav-link" title="点击这里" target="_blank" href="https://twitter.com/share?url=https://chinese.longdom.org/abstract/empirical-analysis-of-average-area-per-room-and-house-price-based-on-twoway-fixed-effects-model-evidence-from-china-108766.html" rel="noopener"><i class="fab fa-twitter"></i></a> <a class="nav-link" title="点击这里" target="_blank" href="https://www.linkedin.com/shareArticle?mini=true&url=https://chinese.longdom.org/abstract/empirical-analysis-of-average-area-per-room-and-house-price-based-on-twoway-fixed-effects-model-evidence-from-china-108766.html" rel="noopener"><i class="fab fa-linkedin-in"></i></a> <a class="nav-link" title="点击这里" target="_blank" href="https://plus.google.com/share?url=https://chinese.longdom.org/abstract/empirical-analysis-of-average-area-per-room-and-house-price-based-on-twoway-fixed-effects-model-evidence-from-china-108766.html" rel="noopener"><i class="fab fa-google-plus-g"></i></a> </div> </div> </div> </div> </section> <footer class="bg-blue-grey-900 py-3"> <div class="container"> <div class="row"> <div class="col-12 col-sm-4"> <h4 class="white font-size-4 fweight-400 border-bottom-1 pb-2">内容链接</h4> <ul class="list-unstyled footer-links font-size-3"> <li><a class="" href="https://chinese.longdom.org/privacy-policy.html" title="点击这里">隐私政策</a></li> <li><a class="" href="https://chinese.longdom.org/terms-conditions.html" title="点击这里">条款和条件</a></li> <li><a class="" href="https://chinese.longdom.org/authors-reviewers-editors.html" title="点击这里">作者、审稿人和编辑</a></li> </ul> </div> <div class="col-12 col-sm-4"> <h4 class="white font-size-4 fweight-400 border-bottom-1 pb-2">联系朗东</h4> <p><span>龙顿集团 SA</span><br /><span>罗杰·范登德里斯大街,</span><br /><span>18, 1150 布鲁塞尔，比利时</span><br /><span>电话: +442038085340</span><br /><span>电子邮件:</span><span> </span><a class="white" title="Click here" href="mailto:info@longdom.org">info@longdom.org</a></p> </div> <div class="col-12 col-sm-4"> <h4 class="white font-size-4 fweight-400 border-bottom-1 pb-2">连接</h4> <nav class="nav nav-pills social-icons-footer flex-column a-pl-0"> <a href="https://www.facebook.com/longdompublisher" title="点击这里" target="_blank" class="nav-link bg-facebook-hover"><i class="fab fa-facebook-f bg-facebook"></i></a> <a href="https://www.linkedin.com/company/longdom-publishing-sl/" title="点击这里" target="_blank" class="nav-link bg-linkedin-hover"><i class="fab fa-linkedin-in bg-linkedin"></i></a> <a href="https://twitter.com/LongdomP" title="点击这里" target="_blank" class="nav-link bg-twitter-hover"><i class="fab fa-twitter bg-twitter"></i></a> <a href="https://www.instagram.com/longdom_publisher/" title="点击这里" target="_blank" class="nav-link bg-instagram-hover"><i class="fab fa-instagram bg-instagram"></i></a> </nav> </div> </div> <div class="row text-center"> <div class="col"> <p>版权 © 2024 <a href="https://chinese.longdom.org/" title="点击这里" class="white">朗顿出版公司</a>.</p> </div> </div> </div> </footer>  <a href="#0" class="cd-top js-cd-top">Top</a>   <script src="https://code.jquery.com/jquery-3.3.1.min.js"></script> <script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.7/umd/popper.min.js"></script> <script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.min.js"></script>  <script> jQuery(function($) { $(window).scroll(function fix_element() { $('#target').css( $(window).scrollTop() > 100 ? 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