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<!doctype html> <html lang="de"> <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="Longdom Publishing SL" /> <meta name="citation_journal_title" content="Zeitschrift für Aktien- und Devisenhandel"> <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. Finally the MAD test result is 0.2815. 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fa-user"></i> Runsheng Rong*, Yushan Liu , Zhenhao Li, Shanshan Li, Jiahui Li </p> <p>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. Finally the MAD test result is 0.2815.</p> <div class="alert alert-info text-left"><b>Haftungsausschluss:</b> Diese Zusammenfassung wurde mithilfe von Tools der k眉nstlichen Intelligenz 眉bersetzt und wurde noch nicht 眉berpr眉ft oder verifiziert.</div> <div class="nav social-icons"> <a class="nav-link w-auto">Teile diesen Artikel</a> <a title="Hier klicken" target="_blank" href="https://www.facebook.com/sharer.php?u=https://german.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="Hier klicken" target="_blank" href="https://twitter.com/share?url=https://german.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="Hier klicken" target="_blank" href="https://www.linkedin.com/shareArticle?mini=true&url=https://german.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="Hier klicken" target="_blank" href="https://plus.google.com/share?url=https://german.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">Inhaltslinks</h4> <ul class="list-unstyled footer-links font-size-3"> <li><a class="" href="https://german.longdom.org/privacy-policy.html" title="Hier klicken">Datenschutzrichtlinie</a></li> <li><a class="" href="https://german.longdom.org/terms-conditions.html" title="Hier klicken">Allgemeine Gesch盲ftsbedingungen</a></li> <li><a class="" href="https://german.longdom.org/authors-reviewers-editors.html" title="Hier klicken">Autoren, Gutachter & Herausgeber</a></li> </ul> </div> <div class="col-12 col-sm-4"> <h4 class="white font-size-4 fweight-400 border-bottom-1 pb-2">Kontaktieren Sie Longdom</h4> <p><strong>Longdom Group SA</strong><br /> Avenue Roger Vandendriessche,<br /> 18, 1150 Br眉ssel, Belgien<br /> Telefon: +442038085340<br /> <strong>E-Mail:</strong> <a class="white" href="mailto:info@longdom.org" title="Hier klicken">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">Verbinden</h4> <nav class="nav nav-pills social-icons-footer flex-column a-pl-0"> <a href="https://www.facebook.com/longdompublisher" title="Hier klicken" 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="Hier klicken" 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="Hier klicken" 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="Hier klicken" 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>Urheberrechte 漏 © 2025 <a href="https://german.longdom.org/" title="Hier klicken" class="white">Longdom Publishing SL</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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