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題名 豪宅購屋者的家庭經濟背景分析
The Economic Background of Luxury House Purchaser作者 鄭育傑
Cheng, Yu-Chieh貢獻者 羅光達<br>楊子霆
Lo, Kuang-Ta<br>Yang, Tzu-Ting
鄭育傑
Cheng, Yu-Chieh關鍵詞 豪宅
不動產買賣
實價登錄
Luxury House
Real Estate Transaction
Actual Transaction Price Registration日期 2022 上傳時間 1-Aug-2022 18:30:36 (UTC+8) 摘要 本文利用2012－2019年內政部實價登錄不動產買賣交易資料與財政部財政資訊中心之財稅、個人基本資料，以線性機率模型刻劃豪宅購買者之人口特性。模型應變數為豪宅購買與否，豪宅定義為交易總價在新臺幣4,000萬以上之住宅；自變數為人口統計變數，包含購屋者型態、性別、年齡、婚姻狀態、家戶受扶養子女數、就業狀態、所得能力、房屋持有狀態、財富狀態、戶籍地，並放入年份控制總體經濟環境未知的影響。實證結果顯示買方為營利事業、個人（或營利事業負責人）為女性、20－29歲、有配偶、家戶受扶養子女數三位、雇主、所得能力位於全臺前1％、房屋持有三間、財富狀態位於全臺前1％、戶籍地在臺北，為各變數中購買豪宅機率最高的群體。穩健性測試中，不同模型測試發現年齡在30－39歲以及財富狀態位於 0％－50％ 之兩變數（類別）最不具穩健性；價格水準定義測試則指出本文實證結果與房地交易總價在全臺前1％ 之超高價豪宅相近。
This article uses the real estate actual transaction price registration data from the Ministry of the Interior and administrative data from Fiscal Information Agency to portray demographic characteristics of the luxury house purchasers in Taiwan during 2012-2019 through linear probability model. Dependent variable represents whether the luxury house is purchased or not and the luxury house is defined as a dwelling of more than NT$40 million total transaction price. Independent variables are demographic variables, including type of purchaser, gender, age, marital status, number of household dependent children, employment status, income condition, house holding status, wealth status, registered domicile place. Besides, add year in the model as a control variable to control the unknown impact of the macroeconomic environment.The empirical result shows that purchasers who buy through company, and whose demographic characteristic categories are female, 20-29 years old, married, with three household dependent children, employer, income condition ranked at top 1%, owning three houses, wealth status ranked at top 1%, domicile place registered in Taipei have the highest probability to purchase the luxury house. In the robustness test, age in 30-39 years old and wealth status ranked between 0%-50% are found not to be consistent at all. Furthermore, it points out that our empirical result is similar to the analysis which the price definition of the luxury house is ranked at top 1% in Taiwan.參考文獻 一、中文文獻林佩萱（2015），「家戶購屋與生育行為關係：資源排擠與動機刺激」，《住宅學報》，24（1），89－115。連賢明、曾中信、楊子霆、韓幸紋、羅光達（2021），「臺灣財富分配2004－2014：以個人財產登錄資料推估」，《經濟論文叢刊》，49（1），77－130。陳彥仲與陳佳欣（2005），「引用回溯調查資料論述台灣地區住宅首購之動態現象」，《建築學報》，（54），57－73。陳建良與林祖嘉（1998），「財富效果、所得效果、與住宅需求」，《住宅學報》，（7），83－99。許哲晧（2017），《台灣婚姻與住宅選擇：性別差異下之比較》，碩士論文，東海大學經濟學系碩士班。陳淑美、張金鶚、陳建良（2004），「家戶遷移與居住品質變化關係之研究—台北縣市的實證分析」，《住宅學報》，13（1），51－74。張紹勳（2016），《Stata與高等統計分析》，五南圖書出版股份有限公司。楊宗憲與張金鶚（2001），「台北都會區第二屋購屋行為之研究－從第一屋與第二屋特徵差異分析」，《住宅學報》，10（2），77－90。楊葉承、宋秀玲、楊智宇（2020），《稅務法規：理論與應用（13版）》，新陸書局股份有限公司。監察院（2020，6月），《「健全不動產交易『實價登錄』制度之檢討」通案性案件調查報告》。 潘存善、吳鳳琴、李敏嘉（2020），「營利事業規避房地合一課稅問題之研究」，《財政部108年度自行研究評獎績優報告輯要》，104－113。薛立敏與陳綉里（1997），「台灣一九八○年代住宅自有率變化之探討」，《住宅學報》，（6），27－48。羅詠傑（2020），《以財產登錄資料推估臺灣營利事業財富》，碩士論文，政治大學財政學系碩士班。二、英文文獻Ben-Shahar, D. and R. Golan (2014), “Real Estate and Personality,” Journal of Behavioral and Experimental Economics, 53, 111-119.Bourassa, S. C. and M. Hoesli (2010), “Why Do the Swiss Rent?” Journal of Real Estate Finance and Economics, 40(3), 286-309.Bourassa, S. C. and C. W. Peng (2011), “Why Is Taiwan’s Homeownership Rate So High?” Urban Studies, 48(13), 2887-2904.Bourassa, S. C. and M. Yin (2006), “Housing Tenure Choice in Australia and the United States: Impacts of Alternative Subsidy Policies,” Real Estate Economics, 34(2), 303-328.Chang, C. O., S. M. Chen, and S. X. Yang (1998), “Aggregated Needs and the Location Choice of Households in Taipei,” Journal of the Asian Real Estate Society, 1(1), 81-100.Clark, W. A., M. C. Deurloo, and F. M. Dieleman (2003), “Housing Careers in the United States, 1968-93: Modelling the Sequencing of Housing States,” Urban Studies, 40(1), 143-160. Feijten, P., C. H. Mulder, and P. Baizán (2003), “Age Differentiation in the Effect of Household Situation on First-Time Homeownership,” Journal of Housing and the Built Environment, 18(3), 233-255.Gomila, R. (2021), “Logistic or Linear? Estimating Causal Effects of Experimental Treatments on Binary Outcomes Using Regression Analysis,” Journal of Experimental Psychology: General, 150(4), 700-709.Gordon, R. A. (2015), Regression Analysis for the Social Sciences (2nd Edition), Routledge.Greene, W. (2012), Econometric Analysis (7th Edition), Prentice Hall.Hellevik, O. (2009), “Linear Versus Logistic Regression when the Dependent Variable Is a Dichotomy,” Quality and Quantity, 43(1), 59-74.Horrace, W. C. and R. L. Oaxaca (2006), “Results on the Bias and Inconsistency of Ordinary Least Squares for the Linear Probability Model,” Economics Letters, 90(3), 321-327.Long, J. S. (1997), Regression Models for Categorical and Limited Dependent Variables, Sage Publications.Lumley, T., P. Diehr, S. Emerson, and L. Chen (2002), “The Importance of the Normality Assumption in Large Public Health Data Sets,” Annual Review of Public Health, 23(1), 151-169.McDonald, P. and J. Baxter (2005), “Home Ownership Among Young People in Australia: In Decline or Just Delayed?” Australian Journal of Social Issues, 40(4), 471-487. Menard, S. (2002), Applied Logistic Regression Analysis (2nd Edition), Sage Publications.Mulder, C. H. (2006), “Home-Ownership and Family Formation,” Journal of Housing and the Built Environment, 21(3), 281-298.Mulder, C. H. and M. Wagner (2001), “The Connections Between Family Formation and First-Time Home Ownership in the Context of West Germany and the Netherlands,” European Journal of Population / Revue Européenne de Démographie, 17(2), 137-164.Wooldridge, J. M. (2010), Econometric Analysis of Cross Section and Panel Data (2nd Edition), MIT Press.三、網 站 資源全國法規資料庫內政部不動產交易實價登錄服務網內政部不動產資訊平台臺北市法規查詢系統 描述 碩士
國立政治大學
財政學系
109255010資料來源 http://thesis.lib.nccu.edu.tw/record/#G0109255010 資料類型 thesis dc.contributor.advisor 羅光達<br>楊子霆 zh_TW dc.contributor.advisor Lo, Kuang-Ta<br>Yang, Tzu-Ting en_US dc.contributor.author (Authors) 鄭育傑 zh_TW dc.contributor.author (Authors) Cheng, Yu-Chieh en_US dc.creator (作者) 鄭育傑 zh_TW dc.creator (作者) Cheng, Yu-Chieh en_US dc.date (日期) 2022 en_US dc.date.accessioned 1-Aug-2022 18:30:36 (UTC+8) - dc.date.available 1-Aug-2022 18:30:36 (UTC+8) - dc.date.issued (上傳時間) 1-Aug-2022 18:30:36 (UTC+8) - dc.identifier (Other Identifiers) G0109255010 en_US dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/141261 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 財政學系 zh_TW dc.description (描述) 109255010 zh_TW dc.description.abstract (摘要) 本文利用2012－2019年內政部實價登錄不動產買賣交易資料與財政部財政資訊中心之財稅、個人基本資料，以線性機率模型刻劃豪宅購買者之人口特性。模型應變數為豪宅購買與否，豪宅定義為交易總價在新臺幣4,000萬以上之住宅；自變數為人口統計變數，包含購屋者型態、性別、年齡、婚姻狀態、家戶受扶養子女數、就業狀態、所得能力、房屋持有狀態、財富狀態、戶籍地，並放入年份控制總體經濟環境未知的影響。實證結果顯示買方為營利事業、個人（或營利事業負責人）為女性、20－29歲、有配偶、家戶受扶養子女數三位、雇主、所得能力位於全臺前1％、房屋持有三間、財富狀態位於全臺前1％、戶籍地在臺北，為各變數中購買豪宅機率最高的群體。穩健性測試中，不同模型測試發現年齡在30－39歲以及財富狀態位於 0％－50％ 之兩變數（類別）最不具穩健性；價格水準定義測試則指出本文實證結果與房地交易總價在全臺前1％ 之超高價豪宅相近。 zh_TW dc.description.abstract (摘要) This article uses the real estate actual transaction price registration data from the Ministry of the Interior and administrative data from Fiscal Information Agency to portray demographic characteristics of the luxury house purchasers in Taiwan during 2012-2019 through linear probability model. Dependent variable represents whether the luxury house is purchased or not and the luxury house is defined as a dwelling of more than NT$40 million total transaction price. Independent variables are demographic variables, including type of purchaser, gender, age, marital status, number of household dependent children, employment status, income condition, house holding status, wealth status, registered domicile place. Besides, add year in the model as a control variable to control the unknown impact of the macroeconomic environment.The empirical result shows that purchasers who buy through company, and whose demographic characteristic categories are female, 20-29 years old, married, with three household dependent children, employer, income condition ranked at top 1%, owning three houses, wealth status ranked at top 1%, domicile place registered in Taipei have the highest probability to purchase the luxury house. In the robustness test, age in 30-39 years old and wealth status ranked between 0%-50% are found not to be consistent at all. Furthermore, it points out that our empirical result is similar to the analysis which the price definition of the luxury house is ranked at top 1% in Taiwan. en_US dc.description.tableofcontents 目錄 VI表次 VII圖次 IX第壹章 前言 1第貳章 文獻回顧 7第參章 不動產交易制度現況 15第一節 實價登錄 15第二節 不動產買賣相關稅制 22第三節 豪宅定義 37第肆章 研究方法 41第一節 模型設定 41第二節 資料來源與變數說明 46第三節 樣本篩選與資料串連過程 50第伍章 實證結果 57第一節 敘述性分析 57第二節 共線性檢驗與變數敘述統計總表 67第三節 實證結果 72第四節 穩健性測試 80第陸章 結論與建議 91參考文獻 93附錄 97 zh_TW dc.format.extent 4289079 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0109255010 en_US dc.subject (關鍵詞) 豪宅 zh_TW dc.subject (關鍵詞) 不動產買賣 zh_TW dc.subject (關鍵詞) 實價登錄 zh_TW dc.subject (關鍵詞) Luxury House en_US dc.subject (關鍵詞) Real Estate Transaction en_US dc.subject (關鍵詞) Actual Transaction Price Registration en_US dc.title (題名) 豪宅購屋者的家庭經濟背景分析 zh_TW dc.title (題名) The Economic Background of Luxury House Purchaser en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) 一、中文文獻林佩萱（2015），「家戶購屋與生育行為關係：資源排擠與動機刺激」，《住宅學報》，24（1），89－115。連賢明、曾中信、楊子霆、韓幸紋、羅光達（2021），「臺灣財富分配2004－2014：以個人財產登錄資料推估」，《經濟論文叢刊》，49（1），77－130。陳彥仲與陳佳欣（2005），「引用回溯調查資料論述台灣地區住宅首購之動態現象」，《建築學報》，（54），57－73。陳建良與林祖嘉（1998），「財富效果、所得效果、與住宅需求」，《住宅學報》，（7），83－99。許哲晧（2017），《台灣婚姻與住宅選擇：性別差異下之比較》，碩士論文，東海大學經濟學系碩士班。陳淑美、張金鶚、陳建良（2004），「家戶遷移與居住品質變化關係之研究—台北縣市的實證分析」，《住宅學報》，13（1），51－74。張紹勳（2016），《Stata與高等統計分析》，五南圖書出版股份有限公司。楊宗憲與張金鶚（2001），「台北都會區第二屋購屋行為之研究－從第一屋與第二屋特徵差異分析」，《住宅學報》，10（2），77－90。楊葉承、宋秀玲、楊智宇（2020），《稅務法規：理論與應用（13版）》，新陸書局股份有限公司。監察院（2020，6月），《「健全不動產交易『實價登錄』制度之檢討」通案性案件調查報告》。 潘存善、吳鳳琴、李敏嘉（2020），「營利事業規避房地合一課稅問題之研究」，《財政部108年度自行研究評獎績優報告輯要》，104－113。薛立敏與陳綉里（1997），「台灣一九八○年代住宅自有率變化之探討」，《住宅學報》，（6），27－48。羅詠傑（2020），《以財產登錄資料推估臺灣營利事業財富》，碩士論文，政治大學財政學系碩士班。二、英文文獻Ben-Shahar, D. and R. Golan (2014), “Real Estate and Personality,” Journal of Behavioral and Experimental Economics, 53, 111-119.Bourassa, S. C. and M. Hoesli (2010), “Why Do the Swiss Rent?” Journal of Real Estate Finance and Economics, 40(3), 286-309.Bourassa, S. C. and C. W. Peng (2011), “Why Is Taiwan’s Homeownership Rate So High?” Urban Studies, 48(13), 2887-2904.Bourassa, S. C. and M. Yin (2006), “Housing Tenure Choice in Australia and the United States: Impacts of Alternative Subsidy Policies,” Real Estate Economics, 34(2), 303-328.Chang, C. O., S. M. Chen, and S. X. Yang (1998), “Aggregated Needs and the Location Choice of Households in Taipei,” Journal of the Asian Real Estate Society, 1(1), 81-100.Clark, W. A., M. C. Deurloo, and F. M. Dieleman (2003), “Housing Careers in the United States, 1968-93: Modelling the Sequencing of Housing States,” Urban Studies, 40(1), 143-160. Feijten, P., C. H. Mulder, and P. Baizán (2003), “Age Differentiation in the Effect of Household Situation on First-Time Homeownership,” Journal of Housing and the Built Environment, 18(3), 233-255.Gomila, R. (2021), “Logistic or Linear? Estimating Causal Effects of Experimental Treatments on Binary Outcomes Using Regression Analysis,” Journal of Experimental Psychology: General, 150(4), 700-709.Gordon, R. A. (2015), Regression Analysis for the Social Sciences (2nd Edition), Routledge.Greene, W. (2012), Econometric Analysis (7th Edition), Prentice Hall.Hellevik, O. (2009), “Linear Versus Logistic Regression when the Dependent Variable Is a Dichotomy,” Quality and Quantity, 43(1), 59-74.Horrace, W. C. and R. L. Oaxaca (2006), “Results on the Bias and Inconsistency of Ordinary Least Squares for the Linear Probability Model,” Economics Letters, 90(3), 321-327.Long, J. S. (1997), Regression Models for Categorical and Limited Dependent Variables, Sage Publications.Lumley, T., P. Diehr, S. Emerson, and L. Chen (2002), “The Importance of the Normality Assumption in Large Public Health Data Sets,” Annual Review of Public Health, 23(1), 151-169.McDonald, P. and J. Baxter (2005), “Home Ownership Among Young People in Australia: In Decline or Just Delayed?” Australian Journal of Social Issues, 40(4), 471-487. Menard, S. (2002), Applied Logistic Regression Analysis (2nd Edition), Sage Publications.Mulder, C. H. (2006), “Home-Ownership and Family Formation,” Journal of Housing and the Built Environment, 21(3), 281-298.Mulder, C. H. and M. Wagner (2001), “The Connections Between Family Formation and First-Time Home Ownership in the Context of West Germany and the Netherlands,” European Journal of Population / Revue Européenne de Démographie, 17(2), 137-164.Wooldridge, J. M. (2010), Econometric Analysis of Cross Section and Panel Data (2nd Edition), MIT Press.三、網 站 資源全國法規資料庫內政部不動產交易實價登錄服務網內政部不動產資訊平台臺北市法規查詢系統 zh_TW dc.identifier.doi (DOI) 10.6814/NCCU202200990 en_US
