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Andrew Yim

Personal Details

First Name:Andrew
Middle Name:
Last Name:Yim
Suffix:
RePEc Short-ID:pyi45
[This author has chosen not to make the email address public]
https://www.cass.city.ac.uk/faculties-and-research/experts/andrew-yim
Cass Business School City, University of London 106 Bunhill Row London EC1Y 8TZ UK

Affiliation

Faculty of Finance
Bayes Business School
City University

London, United Kingdom
https://www.bayes.city.ac.uk/faculties-and-research/finance
RePEc:edi:ffcituk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Yim, Andrew, 2013. "Mixture and Continuous 'Discontinuity' Hypotheses: An Earnings Management Model with Auditor-Required Adjustment," MPRA Paper 44702, University Library of Munich, Germany.
  2. Yim, Andrew & Schröder, David, 2012. "Industry Effects on Firm and Segment Profitability Forecasting: Do Aggregation and Diversity Matter?," MPRA Paper 39190, University Library of Munich, Germany.
  3. Fangfang Tan & Andrew Yim, 2011. "Can Strategic Uncertainty Help Deter Tax Evasion? – An Experiment on Auditing Rules," Working Papers can_strategic_uncertainty, Max Planck Institute for Tax Law and Public Finance.
  4. Tan, Fangfang & Yim, Andrew, 2010. "Deterrence Effects of Auditing Rules: An Experimental Study," MPRA Paper 27859, University Library of Munich, Germany.
  5. Yim, Andrew, 2010. "Fraud Detection and Financial Reporting and Audit Delay," MPRA Paper 27857, University Library of Munich, Germany.
  6. Yim, Andrew, 2010. "Quality Cost and Failure Risk in the Choice of Single versus Multiple Sourcing," MPRA Paper 27858, University Library of Munich, Germany.
  7. Yim, Andrew, 2009. "Efficient Committed Budget for Implementing Target Audit Probability for Many Inspectees," MPRA Paper 27856, University Library of Munich, Germany.
  8. Yim, Andrew, 2000. "Renegotiation and Relative Performance Evaluation: Why an Informative Signal may be Useless," MPRA Paper 27855, University Library of Munich, Germany.

Articles

  1. Hui Tian & Andrew Yim & David P. Newton, 2021. "Tail-Heaviness, Asymmetry, and Profitability Forecasting by Quantile Regression," Management Science, INFORMS, vol. 67(8), pages 5209-5233, August.
  2. David Schröder & Andrew Yim, 2018. "Industry Effects in Firm and Segment Profitability Forecasting," Contemporary Accounting Research, John Wiley & Sons, vol. 35(4), pages 2106-2130, December.
  3. Tan, Fangfang & Yim, Andrew, 2014. "Can strategic uncertainty help deter tax evasion? An experiment on auditing rules," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 161-174.
  4. Andrew Yim, 2009. "Efficient Committed Budget for Implementing Target Audit Probability for Many Inspectees," Management Science, INFORMS, vol. 55(12), pages 2000-2018, December.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Yim, Andrew, 2013. "Mixture and Continuous 'Discontinuity' Hypotheses: An Earnings Management Model with Auditor-Required Adjustment," MPRA Paper 44702, University Library of Munich, Germany.

    Cited by:

    1. Grant, Darren, 2016. "The essential economics of threshold-based incentives: Theory, estimation, and evidence from the Western States 100," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 180-197.

  2. Yim, Andrew & Schröder, David, 2012. "Industry Effects on Firm and Segment Profitability Forecasting: Do Aggregation and Diversity Matter?," MPRA Paper 39190, University Library of Munich, Germany.

    Cited by:

    1. Zura Kakushadze & Willie Yu, 2017. "Open Source Fundamental Industry Classification," Data, MDPI, vol. 2(2), pages 1-77, June.
    2. Zura Kakushadze & Willie Yu, 2017. "Open Source Fundamental Industry Classification," Papers 1706.04210, arXiv.org, revised Dec 2017.

  3. Fangfang Tan & Andrew Yim, 2011. "Can Strategic Uncertainty Help Deter Tax Evasion? – An Experiment on Auditing Rules," Working Papers can_strategic_uncertainty, Max Planck Institute for Tax Law and Public Finance.

    Cited by:

    1. Christoph Engel, 2016. "Experimental Criminal Law. A Survey of Contributions from Law, Economics and Criminology," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2016_07, Max Planck Institute for Research on Collective Goods.
    2. Béatrice Boulu-Reshef & Constance Monnier-Schlumberger, 2019. "Lutte contre les cartels : comment dissuader les têtes brûlées ?," Post-Print hal-03578113, HAL.
    3. Carsten J. Crede & Liang Lu, 2016. "The effects of endogenous enforcement on strategic uncertainty and cartel deterrence," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 16-08, School of Economics, University of East Anglia, Norwich, UK..
    4. Markussen, Thomas & Putterman, Louis & Tyran, Jean-Robert, 2016. "Judicial error and cooperation," European Economic Review, Elsevier, vol. 89(C), pages 372-388.
    5. Dai, Zhixin & Hogarth, Robin M. & Villeval, Marie Claire, 2015. "Ambiguity on audits and cooperation in a public goods game," European Economic Review, Elsevier, vol. 74(C), pages 146-162.
    6. Ralph-C. Bayer, 2017. "The Double Dividend of Relative Auditing – Theory and Experiments on Corporate Tax Enforcement," School of Economics and Public Policy Working Papers 2017-14, University of Adelaide, School of Economics and Public Policy.
    7. Boyd, Colin, 2020. "Revisiting the foundations of fare evasion research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 313-324.
    8. Salmon, Timothy C. & Shniderman, Adam, 2019. "Ambiguity in criminal punishment," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 361-376.
    9. James Alm & Antoine Malézieux, 2021. "40 years of tax evasion games: a meta-analysis," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 699-750, September.
    10. Pukelienė Violeta & Kažemekaitytė Austėja, 2016. "Tax Behaviour: Assessment of Tax Compliance in European Union Countries," Ekonomika (Economics), Sciendo, vol. 95(2), pages 30-56, February.
    11. Ralph‐C. Bayer, 2022. "The double dividend of relative auditing—Theory and experiments on corporate tax enforcement," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 24(6), pages 1433-1462, December.
    12. Alice Guerra & Brooke Harrington, 2023. "Regional variation in tax compliance and the role of culture," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(1), pages 139-152, April.
    13. Eberhartinger, Eva & Safaei, Reyhaneh & Sureth, Caren & Wu, Yuchen, 2021. "Are risk-based tax audit stretegies rewarded? An analysis of corporate tax avoidance," arqus Discussion Papers in Quantitative Tax Research 267, arqus - Arbeitskreis Quantitative Steuerlehre.
    14. Katarina Justic Jozicic & Katarina Kostelic & Marinko Skare, 2018. "Game Theory Applied to Business Decision Making under Fiscalization in Croatia: Analysis, Equilibrium, and Policy Recommendations," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 16(1 (Spring), pages 37-58.
    15. Kasper, Matthias & Rablen, Matthew D., 2023. "Tax compliance after an audit: Higher or lower?," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 157-171.

  4. Yim, Andrew, 2009. "Efficient Committed Budget for Implementing Target Audit Probability for Many Inspectees," MPRA Paper 27856, University Library of Munich, Germany.

    Cited by:

    1. Rainer Niemann & Mariana Sailer, 2023. "Is analytical tax research alive and kicking? Insights from 2000 until 2022," Journal of Business Economics, Springer, vol. 93(6), pages 1149-1212, August.
    2. Bruno Chiarini & Simona Monteleone, 2016. "Discretionary policy, strategic complementarity and tax evasion: a strategic analysis of the Italian audit mechanism," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 33(1), pages 99-117, April.
    3. Tan, Fangfang & Yim, Andrew, 2014. "Can strategic uncertainty help deter tax evasion? An experiment on auditing rules," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 161-174.
    4. Puneet Agarwal & Kyle Hunt & Shivasubramanian Srinivasan & Jun Zhuang, 2020. "Fire Code Inspection and Compliance: A Game-Theoretic Model Between Fire Inspection Agencies and Building Owners," Decision Analysis, INFORMS, vol. 17(3), pages 208-226, September.
    5. Kemme, David M. & Parikh, Bhavik & Steigner, Tanja, 2020. "Tax Morale and International Tax Evasion," Journal of World Business, Elsevier, vol. 55(3).
    6. Jing Ai & Patrick L. Brockett & Linda L. Golden & Montserrat Guillén, 2013. "A Robust Unsupervised Method for Fraud Rate Estimation," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(1), pages 121-143, March.
    7. Laitinen, Erkki K. & Laitinen, Teija, 2015. "A probability tree model of audit quality," European Journal of Operational Research, Elsevier, vol. 243(2), pages 665-677.
    8. Lohse, Tim & Konrad, Kai A. & Qari, Salmai, 2014. "Deception Choice and Audit Design - The Importance of Being Earnest," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100577, Verein für Socialpolitik / German Economic Association.
    9. Peter J. Simmons & Nongnuch Tantisantiwong, 2022. "The Socially Optimal Loan Auditing with Multiple Projects," Discussion Papers 22/07, Department of Economics, University of York.
    10. Konrad, Kai A. & Lohse, Tim & Qari, Salmai, 2014. "Deception choice and self-selection – The importance of being earnest," Journal of Economic Behavior & Organization, Elsevier, vol. 107(PA), pages 25-39.
    11. DeFond, Mark & Zhang, Jieying, 2014. "A review of archival auditing research," Journal of Accounting and Economics, Elsevier, vol. 58(2), pages 275-326.

Articles

  1. David Schröder & Andrew Yim, 2018. "Industry Effects in Firm and Segment Profitability Forecasting," Contemporary Accounting Research, John Wiley & Sons, vol. 35(4), pages 2106-2130, December.

    Cited by:

    1. Francesco Bavagnoli & Giangiacomo Buzzoni & Corrado Mandirola & Ernesto Salinelli, 2022. "Exploring market multiples accuracy for professional practices: sales is the value anchor but profitability and location matter too," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 26(4), pages 1409-1442, December.

  2. Tan, Fangfang & Yim, Andrew, 2014. "Can strategic uncertainty help deter tax evasion? An experiment on auditing rules," Journal of Economic Psychology, Elsevier, vol. 40(C), pages 161-174.
    See citations under working paper version above.
  3. Andrew Yim, 2009. "Efficient Committed Budget for Implementing Target Audit Probability for Many Inspectees," Management Science, INFORMS, vol. 55(12), pages 2000-2018, December.
    See citations under working paper version above.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BEC: Business Economics (1) 2012-06-13
  2. NEP-FOR: Forecasting (1) 2012-06-13
  3. NEP-IND: Industrial Organization (1) 2012-06-13
  4. NEP-LAW: Law and Economics (1) 2013-03-16

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