How does digital tax administration affect R&D manipulation? Evidence from dual machine learning
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DOI: 10.1016/j.techfore.2024.123691
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References listed on IDEAS
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2018.
"Double/debiased machine learning for treatment and structural parameters,"
Econometrics Journal, Royal Economic Society, vol. 21(1), pages 1-68, February.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey & James Robins, 2017. "Double/Debiased Machine Learning for Treatment and Structural Parameters," NBER Working Papers 23564, National Bureau of Economic Research, Inc.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers CWP28/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney K. Newey & James Robins, 2017. "Double/debiased machine learning for treatment and structural parameters," CeMMAP working papers 28/17, Institute for Fiscal Studies.
- Chen, Meian & Zhao, Ke & Jin, Wei, 2024. "Corporate digital transformation and tax avoidance: evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
- Zhou, Zhongsheng & Li, Zhuo & Du, Shanzhong & Cao, June, 2024. "Robot adoption and enterprise R&D manipulation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
- Guo, Yixuan & Wang, Jian & Wang, Heng & Zhang, Fan, 2024. "The impact of big data tax collection and management on inefficient investment of enterprises — A quasi-natural experiment based on the golden tax project III," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 678-689.
- Nan Hu & Qian Hao & Ling Liu & Lee J. Yao (1958-2012), 2015. "Managerial tenure and earnings management," International Journal of Accounting & Information Management, Emerald Group Publishing Limited, vol. 23(1), pages 42-59, March.
- Michael C Knaus, 2022.
"Double machine learning-based programme evaluation under unconfoundedness [Econometric methods for program evaluation],"
The Econometrics Journal, Royal Economic Society, vol. 25(3), pages 602-627.
- Knaus, Michael C., 2020. "Double Machine Learning Based Program Evaluation under Unconfoundedness," IZA Discussion Papers 13051, Institute of Labor Economics (IZA).
- Michael C. Knaus, 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Papers 2003.03191, arXiv.org, revised Jun 2022.
- Knaus, Michael C., 2020. "Double Machine Learning based Program Evaluation under Unconfoundedness," Economics Working Paper Series 2004, University of St. Gallen, School of Economics and Political Science.
- Philippe Aghion & John Van Reenen & Luigi Zingales, 2013.
"Innovation and Institutional Ownership,"
American Economic Review, American Economic Association, vol. 103(1), pages 277-304, February.
- Aghion, Philippe & Van Reenen, John & Zingales, Luigi, 2009. "Innovation and Institutional Ownership," CEPR Discussion Papers 7195, C.E.P.R. Discussion Papers.
- Philippe Aghion & John Van Reenen & Luigi Zingales, 2010. "Innovation and Institutional Ownership," Working Papers 2010.99, Fondazione Eni Enrico Mattei.
- Aghion, Philippe & Van Reenen, John & Zingales, Luigi, 2009. "Innovation and institutional ownership," LSE Research Online Documents on Economics 25480, London School of Economics and Political Science, LSE Library.
- Zingales, Luigi & Reenen, John Van & Aghion, Philippe, 2009. "Innovation and Institutional Ownership," Scholarly Articles 4481491, Harvard University Department of Economics.
- Philippe Aghion & John Van Reenen & Luigi Zingales, 2009. "Innovation and Institutional Ownership," CEP Discussion Papers dp0911, Centre for Economic Performance, LSE.
- Aghion, Philippe & Van Reenen, John & Zingales, Luigi, 2010. "Innovation and Institutional Ownership," Institutions and Markets Papers 93414, Fondazione Eni Enrico Mattei (FEEM).
- Philippe Aghion & John Van Reenen & Luigi Zingales, 2009. "Innovation and Institutional Ownership," NBER Working Papers 14769, National Bureau of Economic Research, Inc.
- Mao, Jinzhou & Xu, Donghai & Yang, Shaoze, 2023. "Female executives and corporate R&D manipulation behavior: Evidence from China," Finance Research Letters, Elsevier, vol. 57(C).
- Chen, Lifang & He, Ruzhen, 2024. "Does digital tax enforcement drive corporate digitalization? Evidence from the Golden Tax Project III in China: A pre-registered report," Pacific-Basin Finance Journal, Elsevier, vol. 83(C).
- Xingnan Xue & Peng Liang & Fujing Xue & Nan Hu & Ling Liu, 2024. "Trade policy uncertainty and the patent bubble in China: evidence from machine learning," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 31(5), pages 808-829, September.
- Yiming Cao & Shuo Chen, 2022. "Rebel on the Canal: Disrupted Trade Access and Social Conflict in China, 1650–1911," American Economic Review, American Economic Association, vol. 112(5), pages 1555-1590, May.
- Estelle Y. Sun, 2021. "The Differential Role of R&D and SG&A for Earnings Management and Stock Price Manipulation," Contemporary Accounting Research, John Wiley & Sons, vol. 38(1), pages 242-275, March.
- Roychowdhury, Sugata, 2006. "Earnings management through real activities manipulation," Journal of Accounting and Economics, Elsevier, vol. 42(3), pages 335-370, December.
- Zhao Chen & Zhikuo Liu & Juan Carlos Suárez Serrato & Daniel Yi Xu, 2021.
"Notching R&D Investment with Corporate Income Tax Cuts in China,"
American Economic Review, American Economic Association, vol. 111(7), pages 2065-2100, July.
- Zhao Chen & Zhikuo Liu & Juan Carlos Suárez Serrato & Daniel Yi Xu, 2018. "Notching R&D Investment with Corporate Income Tax Cuts in China," NBER Working Papers 24749, National Bureau of Economic Research, Inc.
- Jiang, Xiandeng & Huang, Ruoyao & Wang, Chuanjie, 2023. "Tax enforcement and efficiency wages: Evidence from China’ Golden Tax Project III," Finance Research Letters, Elsevier, vol. 58(PB).
- Nan Hu & Xingnan Xue & Ling Liu, 2022. "The impact of air pollution on financial reporting quality: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(3), pages 3609-3644, September.
- Victor Chernozhukov & Denis Chetverikov & Mert Demirer & Esther Duflo & Christian Hansen & Whitney Newey, 2017. "Double/Debiased/Neyman Machine Learning of Treatment Effects," American Economic Review, American Economic Association, vol. 107(5), pages 261-265, May.
- He, Yuhan & Yi, Yang, 2023. "Digitalization of tax administration and corporate performance: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 90(C).
- Xing, Weibo & Whalley, John, 2014. "The Golden Tax Project, value-added tax statistics, and the analysis of internal trade in China," China Economic Review, Elsevier, vol. 30(C), pages 448-458.
- Xiong, Jiacai & Yang, Zelin & Zhu, Yushu, 2024. "Does information infrastructure curb corporate R&D manipulation? Evidence from China," Economics Letters, Elsevier, vol. 235(C).
- Meyer, Bruce D & Viscusi, W Kip & Durbin, David L, 1995.
"Workers' Compensation and Injury Duration: Evidence from a Natural Experiment,"
American Economic Review, American Economic Association, vol. 85(3), pages 322-340, June.
- Bruce D. Meyer & W. Kip Viscusi & David L. Durbin, 1990. "Workers' Compensation and Injury Duration: Evidence from a Natural Experiment," NBER Working Papers 3494, National Bureau of Economic Research, Inc.
- Zhang, Yixiang & Liu, Meiling & Fu, Bowen, 2024. "Can digital technology application promote energy saving and emission reduction practices in enterprise? An empirical study based on the awareness-motivation-capability perspective," Energy, Elsevier, vol. 286(C).
- Li, Jianjun & Wang, Xuan & Wu, Yaping, 2020. "Can government improve tax compliance by adopting advanced information technology? Evidence from the Golden Tax Project III in China," Economic Modelling, Elsevier, vol. 93(C), pages 384-397.
- Feng, Chen & Ye, Yongwei & Bai, Caiquan, 2023. "Tax enforcement and corporate financial irregularities: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 88(C).
- Nathan Nunn & Nancy Qian, 2014.
"US Food Aid and Civil Conflict,"
American Economic Review, American Economic Association, vol. 104(6), pages 1630-1666, June.
- Qian, Nancy & Nunn, Nathan, 2014. "US Food Aid and Civil Conflict," Scholarly Articles 30410811, Harvard University Department of Economics.
- Chen, Mengtao, 2024. "ESG performance and firm misconduct: Evidence from R&D manipulation," Economics Letters, Elsevier, vol. 237(C).
- Tang, Yiding & Qiao, Xingzhi & Chen, He, 2024. "ESG performance and investment expansion: Evidence from Chinese listed firms," Finance Research Letters, Elsevier, vol. 69(PA).
- Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
- Katherine A. Gunny, 2010. "The Relation Between Earnings Management Using Real Activities Manipulation and Future Performance: Evidence from Meeting Earnings Benchmarks," Contemporary Accounting Research, John Wiley & Sons, vol. 27(3), pages 855-888, September.
- Desai, Mihir A. & Dharmapala, Dhammika, 2006.
"Corporate tax avoidance and high-powered incentives,"
Journal of Financial Economics, Elsevier, vol. 79(1), pages 145-179, January.
- Mihir Desai & Dhammika Dharmapala, "undated". "Corporate Tax Avoidance and High Powered Incentives," American Law & Economics Association Annual Meetings 1006, American Law & Economics Association.
- Mihir A. Desai & Dhammika Dharmapala, 2004. "Corporate Tax Avoidance and High Powered Incentives," NBER Working Papers 10471, National Bureau of Economic Research, Inc.
- Mihir A. Desai & Dhammika Dharmapala, 2004. "Corporate Tax Avoidance and High Powered Incentives," Working papers 2004-09, University of Connecticut, Department of Economics.
- repec:eme:mfppss:v:39:y:2013:i:10:p:888-914 is not listed on IDEAS
- Jensen, Michael C & Murphy, Kevin J, 1990.
"Performance Pay and Top-Management Incentives,"
Journal of Political Economy, University of Chicago Press, vol. 98(2), pages 225-264, April.
- Jensen, M.C. & Murphy, K.J., 1988. "Performance Pay And Top Management Incentives," Papers 88-04, Rochester, Business - Managerial Economics Research Center.
- SANJEEV BHOJRAJ & PAUL HRIBAR & MARC PICCONI & JOHN McINNIS, 2009. "Making Sense of Cents: An Examination of Firms That Marginally Miss or Beat Analyst Forecasts," Journal of Finance, American Finance Association, vol. 64(5), pages 2361-2388, October.
- Lin, Gaoyi & Ma, Liuding & Liao, Hui & Li, Jingying, 2024. "Nothing comes for free: Evidence from a tax reduction of China," China Economic Review, Elsevier, vol. 83(C).
- Xue, Xingnan & Hu, Nan, 2023. "Economic policy uncertainty and imitation behaviors of corporate social responsibility practices: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 89(C).
- Weidong Zhang & Pengbo Hu & Jenny J. Wang & Zeyu Li & Hongrui Zheng & Xue Gao, 2022. "Equity incentive plans and R&D investment manipulation: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(3), pages 4157-4183, September.
- Liu, Duan & Wang, Lili & Yan, Jing & Wan, Hong, 2023. "R&D manipulation and SEO pricing in the Chinese capital market: The information effect of inefficient investment," Research in International Business and Finance, Elsevier, vol. 65(C).
- Baker, Andrew C. & Larcker, David F. & Wang, Charles C.Y., 2022. "How much should we trust staggered difference-in-differences estimates?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 370-395.
- Chen, Yongtai & Ren, Yi-Shuai & Narayan, Seema & Huynh, Ngoc Quang Anh, 2024. "Does climate risk impact firms' ESG performance? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 683-695.
- Chen, Lifang & Xie, Dehao & He, Ruzhen, 2024. "Does digital tax enforcement drive corporate digitalization? Evidence from the Golden tax project III in China: A pre-registered study," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
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Keywords
Digital tax administration; R&D manipulation; Dual machine learning; COM-B theory;All these keywords.
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