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Applications and Case Studies

A Bayesian Partial Identification Approach to Inferring the Prevalence of Accounting Misconduct

Pages 14-26 | Received 01 Jul 2014, Published online: 05 May 2016

REFERENCES

  • Aldrich, J. (2002), “How Likelihood and Identification Went Bayesian,” International Statistical Review, 70, 79–98.
  • Chan, J., and Tobias, J. (2015), “Priors and Posterior Computation in Linear Endogenous Variable Models With Imperfect Instruments,” Journal of Applied Econometrics, 30, 650–674.
  • Chipman, H., George, E., and McCulloch, R. (1998), “Bayesian CART Model Search,” Journal of the American Statistical Association, 93, 935–948.
  • ——— (2010), “BART: Bayesian Additive Regression Trees,” The Annals of Applied Statistics, 4, 266–298.
  • Cox, D. (1958), “The Regression Analysis of Binary Sequences,” Journal of the Royal Statistical Society, Series B, 20, 215–242.
  • Daniels, M., and Hogan, J. (2008), Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis, Boca Raton, FL: CRC Press.
  • Dawid, A. (1979), “Conditional Independence in Statistical Theory,” Journal of the Royal Statistical Society, Series B, 41, 1–31.
  • Dechow, P., Ge, W., Larson, C., and Sloan, R. (2011), “Predicting Material Accounting Misstatements,” Contemporary Accounting Research, 28, 17–82.
  • Duncan, O., and Davis, B. (1953), “An Alternative to Ecological Correlation,” American Sociological Review, 18, 665–666.
  • Dyck, A., Morse, A., and Zingales, L. (2013), “How Pervasive is Corporate Fraud? Technical Report 2222608, Rotman School of Management.
  • Dyck, A., Volchkova, N., and Zingales, L. (2008), “The Corporate Governance Role of the Media: Evidence From Russia,” The Journal of Finance, 63, 1093–1135.
  • Florens, J.-P., and Simoni, A. (2011), “Bayesian Identification and Partial Identification,” unpublished manuscript, Toulouse School of Economics, Toulouse, France.
  • Fréchet, M. (1960), “Les tableaux dont les marges sont données,” Trabajos de estadística, 11, 3–18.
  • Frisch, R. (1934), Statistical Confluence Analysis by Means of Complete Regression Systems, Universitetets Økonomiske Instituut, Oslo.
  • Gelfand, A., and Sahu, S. (1999), “Identifiability, Improper Priors and Gibbs Sampling for Generalized Linear Models,” Journal of the American Statistical Association, 94, 247–253.
  • Gustafson, P. (2005), “On Model Expansion, Model Contraction, Identifiability and Prior Information: Two Illustrative Scenarios Involving Mismeasured Variables,” Statistical Science, 20, 111–140.
  • ——— (2010), “Bayesian Inference for Partially Identified Models,” The International Journal of Biostatistics, 6, 1557–4679.
  • ——— (2015), Bayesian Inference for Partially Identified Models: Exploring the Limits of Limited Data, Chapman & Hall/CRC Monographs on Statistics & Applied Probability, Boca Raton, FL: CRC Press.
  • Haavelmo, T. (1943), “The Statistical Implications of a System of Simultaneous Equations,” Econometrica, 11, 1–12.
  • ——— (1944), “The Probability Approach in Econometrics,” Supplement to Econometrica, 12, 111–115.
  • Heckman, J. (1976), “Simultaneous Equation Models With Continuous and Discrete Endogenous Variables and Structural Shifts,” in Studies in Nonlinear Estimation, eds. S. Goldfeld, and R. Quandt, Cambridge, MA: Balinger, pp. 235–272.
  • ——— (1978), “Dummy Endogenous Variables in a Simultaneous Equation System,” Econometrica, 46, 931–959.
  • ——— (1979), “Sample Bias as a Specification Error,” Econometrica, 47, 153–161.
  • Hill, J. (2012), “Bayesian Nonparametric Modeling for Causal Inference,” Journal of Computational and Graphical Statistics, 20, 212–240.
  • Jayaraman, S., and Milbourn, T. (2010), “Whistle Blowing and CEO Compensation: The Qui Tam Statute,” in AFA 2011 Denver Meetings Paper.
  • Kadane, J. (1975), “The Role of Identification in Bayesian Theory,” in Studies in Bayesian Econometrics and Statistics, eds. S. Fienberg and A. Zellner, Amsterdam, The Netherlands: North-Holland, pp. 175–191.
  • Kline, B., and Tamer, E. (2015), “Bayesian Inference in a Class of Partially Identified Models,” Quantitative Economics, forthcoming.
  • Koopmans, T. (1949), “Identification Problems in Economic Model Construction,” Econometrica, 17, 125–144.
  • Koopmans, T., and Reiersol, O. (1950), “The Identification of Structural Characteristics,” Annals of Mathematical Statistics, 21, 165–181.
  • Lancaster, T., and Imbens, G. (1996), “Case-Control Studies With Contaminated Controls,” Journal of Econometrics, 71, 145–160.
  • Little, R., and Rubin, D. (2002), Statistical Analysis With Missing Data (2nd ed.), New York: Wiley-Interscience.
  • Manski, C. (1995), Identification Problems in the Social Sciences, Cambridge, MA: Harvard University Press.
  • ——— (2003), Partial Identification of Probability Distributions, New York: Springer.
  • ——— (2007), Identification for Prediction and Decision, Cambridge, MA: Harvard University Press.
  • McCandless, L., Gustafson, P., and Levy, A. (2007), “Bayesian Sensitivity Analysis for Unmeasured Confounding in Observational Studies,” Statistics in Medicine, 26, 2331–2347.
  • McCandless, L., Gustafson, P., Levy, A., and Richardson, S. (2012), “Hierarchical Priors for Bias Parameters in Bayesian Sensitivity Analysis for Unmeasured Confounding,” Statistics in Medicine, 31, 383–396.
  • Miller, G.S. (2006), “The Press as a Watchdog for Accounting Fraud,” Journal of Accounting Research, 44, 1001–1033.
  • Molitor, N.-T., Best, N., Jackson, C., and Richardson, S. (2009), “Using Bayesian Graphical Models to Model Biases in Observational Studies and to Combine Multiple Sources of Data: Application to Low Birth Weight and Water Disinfection by-Products,” Journal of the Royal Statistical Society, Series A, 172, 615–637.
  • Moon, H., and Schorfheide, F. (2012), “Bayesian and Frequentist Inference in Partially Identified Models,” Econometrica, 80, 755–782.
  • Pakman, A., and Paninski, L. (2014), “Exact Hamiltonian Monte Carlo for Truncated Multivariate Gaussians,” Journal of Computational and Graphical Statistics, 23, 518–542.
  • Poirier, D. (1980), “Partial Observability in Bivariate Probit Models,” Journal of Econometrics, 12, 209–217.
  • Prentice, R., and Pyke, R. (1979), “Logistic Disease Incidence Models and Case-Control Studies,” Biometrika, 66, 403–411.
  • San Martín, E., and González, J. (2010), “Bayesian Identifiability: Contributions to an Inconclusive Debate,” Chilean Journal of Statistics, 1, 69–91.
  • Securities and Exchange Commission, Accounting and Auditing Enforcement Releases (2014), available at http://www.sec.gov/divisions/enforce/friactions.shtml.
  • Tamer, E. (2010), “Partial Identification in Econometrics,” Annual Review of Economics, 2, 167–195.
  • Wang, T. (2013), “Corporate Securities Fraud: Insights From a New Empirical Framework,” Journal of Law, Economics, and Organization, 29, 535–568.

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