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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88860Full metadata record
| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 楊子霆 | zh_TW |
| dc.contributor.advisor | Tzu-Ting Yang | en |
| dc.contributor.author | 楊于晨 | zh_TW |
| dc.contributor.author | Yu-Chen Yang | en |
| dc.date.accessioned | 2023-08-16T16:05:15Z | - |
| dc.date.available | 2023-11-09 | - |
| dc.date.copyright | 2023-08-16 | - |
| dc.date.issued | 2023 | - |
| dc.date.submitted | 2023-08-07 | - |
| dc.identifier.citation | S. Agarwal, K. Li, Y. Qin, J. Wu, and J. Yan. Tax evasion, capital gains taxes, and the housing market. Journal of Public Economics, 188:104222, 2020.
N. Artavanis, A. Morse, and M. Tsoutsoura. Measuring income tax evasion using bank credit: Evidence from greece. The Quarterly Journal of Economics, 131(2):739–798, 2016. R. Fisman and S.-J. Wei. Tax rates and tax evasion: evidence from “missing imports"in china. Journal of political Economy, 112(2):471–496, 2004. J. Harju, T. Kosonen, and J. Slemrod. Missing miles: Evasion responses to car taxes. Journal of Public Economics, 181:104108, 2020. J. Marion and E. Muehlegger. Measuring illegal activity and the effects of regulatory innovation: Tax evasion and the dyeing of untaxed diesel. Journal of Political Economy, 116(4):633–666, 2008. S. Wager and S. Athey. Estimation and inference of heterogeneous treatment effects using random forests. Journal of the American Statistical Association, 113(523):1228–1242, 2018. 張子午、陳貞樺. 囚租人生. 報導者, 2018. URL https://www.twreporter.org/i/ rent-house-in-difficulty-generation-gcs. 瀏覽日期:2023/6/10. 彭揚凱、廖庭輝. 居住正義不被重視的角落: 台灣租屋黑市圖像初探. 鳴人堂, 2021. URL https: //opinion.udn.com/opinion/story/12838/5212040?fbclid= IwAR3AQvB1e2ON885JGdpk8aP62zZ-Lk-LX9bp1yqkAJtQAWS40EgfE1xVKA0. 瀏覽日期:2023/6/10. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88860 | - |
| dc.description.abstract | 本文使用2019年民間租屋資料串連財政部去識別化的財稅資料,估計全臺灣個人房東租賃所得之逃漏稅比率與金額。研究結果顯示,在成功與行政資料串連的樣本中(約40\%-50\%的樣本),逃漏稅比率達94.4至97.3\%,逃漏稅額為4.22至4.37億元,即便寬鬆認定房東繳稅事實,逃稅比率仍為82.6至84.8\%。此估計結果於不同樣本以及不同估計方式中皆保持穩健,顯示臺灣房屋出租市場存在極高比率逃漏稅情形。此外,藉由關聯性分析,本文發現房屋月租金與逃稅行為呈現顯著正相關,房東之非流動資產淨值與逃稅行為則呈現顯著負相關。最後,本研究利用因果森林方法估計租金逃漏平均來說會使得所得稅率顯著下降0.314百分點,且該效果對持有房產較多之房東更為明顯。 | zh_TW |
| dc.description.abstract | This article utilizes 2019 private rental housing data linked with fiscal data from the Ministry of Finance to estimate the tax evasion rate and amount of rental income for individual landlords in Taiwan. The research findings indicate that, in the sample of successfully linked administrative data (around 40\%-50\% of sample), the tax evasion rate ranges from 94.4\% to 97.3\%, with a total evasion amount of 4.22 to 4.37 billion NT dollars. Even with a lenient assumption regarding landlords' tax payment, the tax evasion rate remains at 82.6\% to 84.8\%. These estimation results hold robust across different samples and estimation methods, indicating a significantly high level of tax evasion in Taiwan's rental housing market. Furthermore, through correlation analysis, this study discovers a significant positive relationship between monthly rental income and tax evasion. There is also a significant negative correlation between the non-current asset net worth of landlords and tax evasion. Lastly, using the causal forest method, this study estimates that, on average, the evasion of rental income tax would lead to a significant decrease of 0.314 percentage points in the income tax rate, with a more pronounced effect observed among landlords who own more properties. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-08-16T16:05:15Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2023-08-16T16:05:15Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
致謝 ii 中文摘要 iii 英文摘要 iv 第一章 緒論 1 第二章 政策背景 5 2.1 房屋租賃需繳納之稅務 5 2.2 租賃市場潛在問題 7 第三章 資料與樣本 8 3.1 開放臺灣民間租屋資料 8 3.2 財政部財稅資料 8 3.3 資料整理過程 9 第四章 研究方法 12 4.1 定義未繳稅之房東 12 4.2 估計逃漏稅金額 13 4.3 迴歸分析 14 4.4 敘述統計 15 第五章 估計租賃所得逃漏稅程度 17 5.1 逃漏稅比率與金額 17 5.2 區域分析 18 5.3 關聯性分析 20 5.4 穩健性測試 24 5.4.1 逃漏稅比率與金額 24 5.4.2 區域分析 24 5.4.3 關聯性分析 27 第六章 租金逃漏對所得稅率的影響 31 6.1 因果森林方法 31 6.2 因果森林研究結果 33 第七章 結論 36 參考文獻 38 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 租賃所得 | zh_TW |
| dc.subject | 逃漏稅 | zh_TW |
| dc.subject | 租屋市場 | zh_TW |
| dc.subject | rental housing market | en |
| dc.subject | tax evasion | en |
| dc.subject | rental income | en |
| dc.title | 利用民間租屋資料與行政資料估計臺灣租屋市場逃漏稅程度 | zh_TW |
| dc.title | Estimating tax evasion in the Taiwanese rental market using private rental data and administrative data | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 111-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.coadvisor | 楊睿中 | zh_TW |
| dc.contributor.coadvisor | Jui-Chung Yang | en |
| dc.contributor.oralexamcommittee | 羅光達;韓幸紋 | zh_TW |
| dc.contributor.oralexamcommittee | Kuang-Ta Lo;Hsing-Wen Han | en |
| dc.subject.keyword | 逃漏稅,租賃所得,租屋市場, | zh_TW |
| dc.subject.keyword | tax evasion,rental income,rental housing market, | en |
| dc.relation.page | 39 | - |
| dc.identifier.doi | 10.6342/NTU202302554 | - |
| dc.rights.note | 未授權 | - |
| dc.date.accepted | 2023-08-09 | - |
| dc.contributor.author-college | 社會科學院 | - |
| dc.contributor.author-dept | 經濟學系 | - |
| Appears in Collections: | 經濟學系 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| ntu-111-2.pdf Restricted Access | 2.96 MB | Adobe PDF |
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