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ROBUST ESTIMATION WITH EXPONENTIALLY TILTED HELLINGER DISTANCE. (2018). Antoine, Bertille ; Dovonon, Prosper.
In: Discussion Papers.
RePEc:sfu:sfudps:dp18-06.

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  1. (1977b). ‘Robust location estimates’, Annals of Statistics, 5: 431–444.
    Paper not yet in RePEc: Add citation now
  2. (2007). ‘Empirical likelihood methods in econometrics: theory and practice’, in R. Blundell, W. Newey, and T. Persson (eds.), Advances in Economics and Econometrics: Theory and Application: Ninth World Congress of the Econometric Society, vol. 3. Cambridge University Press, Cambridge, UK.
    Paper not yet in RePEc: Add citation now
  3. (2012). ‘On the asymptotic size distortion of tests when instruments locally violate the exogeneity assumption’, Econometric Theory, 28: 387–421.
    Paper not yet in RePEc: Add citation now
  4. (2013a). ‘Robustness, infinitesimal neighborhoods, and moment restrictions’, Econometrica, 81: 1185–1201.
    Paper not yet in RePEc: Add citation now
  5. (2017). ‘Economic Implications of Nonlinear Pricing Kernels’, Management Science, 63(10): 3361–3380.
    Paper not yet in RePEc: Add citation now
  6. ∂gn(X, θ̇) ∂θ′ # t, THE EXPONENTIALLY TILTED HELLINGER DISTANCE ESTIMATOR 41 with θ̇ ∈ (θ∗ , θn) and may vary from row to row. Noting that EPθn,ζn [g(X, θn)] = 0, EPθn,ζn [gn(X, θn)] = EPθn,ζn [g(X, θn)I{X / ∈ Xn}] = o(n−1/2 ) (we refer to Equation A.16 of KOE (2013b) for the proof). Also, thanks to Assumption 3(iv), and by the continuity of the map θ 7→ EP∗ h ∂g(X,θ) ∂θ′ i in a neighborhood of θ∗ , we can claim that EPθn,ζn h ∂gn(X,θ̇) ∂θ′ i
    Paper not yet in RePEc: Add citation now
  7. Aguirregabiria, V. (2018). ‘Empirical Industrial Organization: Models, Methods, and Applications’, Discussion paper, Department of Economics, University of Toronto, http://www.individual.utoronto.ca/vaguirre/courses/eco2901/teaching io toronto.html.
    Paper not yet in RePEc: Add citation now
  8. Almeida, C., and Garcia, R. (2012). ‘Assessing Misspecified Asset Pricing Models with Empirical Likelihood Estimators’, Journal of Econometrics, 170: 519–537.

  9. Andrews, D., and Cheng, X. (2012). ‘Estimation and inference with weak, semi-strong, and strong identification’, Econometrica, 80: 2153–2211.
    Paper not yet in RePEc: Add citation now
  10. Antoine, B., Bonnal, H., and Renault, E. (2007). ‘On the efficient use of the informational content of estimating equations: Implied probabilities and Euclidean empirical likelihood’, Journal of Econometrics, 138: 461–487.

  11. Antoine, B., Proulx, K., and Renault, E. (2018). ‘Smooth minimum distance for robust inference in conditional asset pricing models’, Journal of Financial Econometrics.
    Paper not yet in RePEc: Add citation now
  12. Ashley, R. (2009). ‘Assessing the credibility of instrumental variables inference with imperfect instruments via sensitivity analysis’, Journal of Applied Econometrics, 24: 325–337.

  13. Beran, R. (1977a). ‘Minimum Hellinger distance estimates for parametric models’, Annals of Statistics, 5: 445–463.
    Paper not yet in RePEc: Add citation now
  14. Bickel, P., Klassen, C., Ritov, Y., and Wellner, J. (1993). Efficient and adaptive estimation for semiparametric models. Johns Hopkins Press, Baltimore.
    Paper not yet in RePEc: Add citation now
  15. Bravo, F. (2014). ‘Semiparametric generalized estimating equations in misspecified models’, in M. Akritas, S. Lahiri, and D. Politis (eds.), Topics in Nonparametric Statistics. Springer Proceedings in Mathematics & Statistics, vol. 74, pp. 43–52. Springer, New York, NY.
    Paper not yet in RePEc: Add citation now
  16. Broniatowski, M., and Keziou, A. (2012). ‘Divergences and duality for estimation and test under moment condition models’, Journal of Statistical Planning an Inference, 142(9): 2554–2573.
    Paper not yet in RePEc: Add citation now
  17. Cheng, X., Liao, Z., and Shi, R. (2016). ‘An averaging GMM estimator robust to misspecification’, Working paper, PIER WP15-017.
    Paper not yet in RePEc: Add citation now
  18. Cobb, C., and Douglas, P. (1928). ‘A Theory of Production’, American Economic Review, 18-1: 139– 165.
    Paper not yet in RePEc: Add citation now
  19. Congley, T., Hansen, C., and Rossi, P. (2012). ‘Plausibly exogenous’, Review of Economics and Statistics, 94: 260–272.
    Paper not yet in RePEc: Add citation now
  20. converges to G as n → ∞. This establishes that T̄ is asymptotically Fisher consistent in the claimed family of sub-models and this is enough to apply Theorem 3.1(i) of KOE (2013a), and deduce that lim inf n→∞ Ln ≥ 4r2 B∗ , (C.1) where Ln = supQ∈BH (P∗,r/ √ n) n τ ◦ T̄(Qn) − τ(θ∗ ) 2 . Now, let F = ∂τ(θ0) ∂θ′ ΣG′ Ω−1 and Qn ∈ BH(P∗, r/ √ n). By Lemma C.3(iv), T̄(Qn) → θ∗ as n → ∞ and using Lemma C.5, a Taylor expansion of τ(T̄ (Qn)) around θ∗ ensures that: √ n τ ◦ T̄Qn − τ(θ∗ ) = − √ nF Z gn(X, θ∗ )dQn + o(1).
    Paper not yet in RePEc: Add citation now
  21. Corcoran, S. (1998). ‘Bartlett Adjustment of Empirical Discrepancy Statistics’, Biometrika, 85: 965– 972.
    Paper not yet in RePEc: Add citation now
  22. Dovonon, P. (2016). ‘Large sample properties of the three-step Euclidean likelihood estimators under model misspecification’, Econometric Reviews, 35: 465–514.

  23. Feinberg, E. A., Kasyanov, P. O., and Zadoianchuk, N. V. (2013). ‘Berges theorem for noncompact image sets’, Journal of Mathematical Analysis and Applications, 397: 255–259.
    Paper not yet in RePEc: Add citation now
  24. From Lemma A.4 of KOE (2013b), we have EP∗ (gn(X, θ∗ )) = o(n−1/2 ). Thus, − √ nF Z gn(X, θ∗ )dQn + o(1) = − √ nF Z gn(X, θ∗ )(dQn − dP∗) + o(1) = − √ nF Z gn(X, θ∗ ) dQ1/2 n − dP 1/2 ∗ dQ1/2 n − √ nF Z gn(X, θ∗ ) dQ1/2 n − dP 1/2 ∗ dP 1/2 ∗ + o(1). By the triangle inequality, we have n( τ ◦ T̄(Qn) − τ(θ∗ ) 2 ≤ n(A1 + A2 + 2A3) + o(1), with A1 = F Z gn(x, θ∗ ) dQ1/2 n − dP 1/2 ∗ dQ1/2 n 2 , A1 = F Z gn(x, θ∗ ) dQ1/2 n − dP 1/2 ∗ dP 1/2 ∗ 2
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  25. From the proof of Lemma A.1(ii) of KOE (2013b), (1) converges to 0 as n grows and hence, is less than ǫ/2 for n large enough. By a mean value expansion and with θ̇ ∈ (θ∗ , θ) that may vary with rows, we have kEP∗ (g(X, θ))k = EP∗ (g(X, θ∗ )) + EP∗ ∂g(X, θ̇) ∂θ′ ! (θ − θ∗ ) ≤ EP∗ sup θ∈N ∂g(X, θ̇) ∂θ′ ! kθ − θ∗ k and (2) ≤ Kδǫ/(2K + 1). Also, for n large enough, (1) ≤ δǫ/2. Thus, kλn,ǫ(θ)k ≤ ǫ < 2ǫ, showing that λn,ǫ(θ) is interior to Λǫ.
    Paper not yet in RePEc: Add citation now
  26. Gallant, A. R., and White, H. (1988). A unified theory of estimation and inference in nonlinear dynamic models. Blackwell, Oxford.
    Paper not yet in RePEc: Add citation now
  27. Gospodinov, N., and Maasoumi, E. (2017). ‘General aggregation of misspecified asset pricing models’, Working paper 2017-10.
    Paper not yet in RePEc: Add citation now
  28. Gospodinov, N., Kan, R., and Robotti, C. (2014). ‘Misspecification-robust inference in linear assetpricing models with irrelevant risk factors’, Review of Financial Studies, 27: 2139–2170.

  29. Gourieroux, C., Monfort, A., and Trognon, A. (1984). ‘Pseudo maximum likelihood methods: Theory’, Econometrica, 52: 681–700.
    Paper not yet in RePEc: Add citation now
  30. Guggenberger, P. (2008). ‘Finite sample evidence suggesting a heavy tail problem of the generalized empirical likelihood estimator’, Econometric Reviews, 27: 526–541.

  31. Hall, A. R., and Inoue, A. (2003). ‘The Large sample behaviour of the generalized method of moments estimator in misspecified models’, Journal of Econometrics, 114: 361–394.

  32. Hansen, L. P. (1982). ‘Large sample properties of generalized method of moments estimators’, Econometrica, 50: 1029–1054.
    Paper not yet in RePEc: Add citation now
  33. Hansen, L. P., and Jagannathan, R. (1997). ‘Assessing specification errors in stochastic discount factor models’, Journal of Finance, 52: 557–590.

  34. Jing, B.-Y., and Wood, A. (1996). ‘Exponential Empirical Likelihood is not Bartlett Correctable’, Annals of Statistics, 24: 365–369.
    Paper not yet in RePEc: Add citation now
  35. Kan, R., Robotti, C., and Shanken, J. (2013). ‘Pricing model performance and the two-pass crosssectional regression methodology’, Journal of Finance, 68: 2617–2649.

  36. Kitamura, Y. (2000). ‘Comparing misspecified dynamic econometric models using nonparametric likelihood ’, Discussion paper, University of of Wisconsin.
    Paper not yet in RePEc: Add citation now
  37. Kitamura, Y., and Stutzer, M. (1997). ‘Efficiency versus robustness: The case for minimum Hellinger distance and related methods’, Econometrica, 65: 861–874.
    Paper not yet in RePEc: Add citation now
  38. Kitamura, Y., Otsu, T., and Evdokimov, K. (2009). ‘Robustness, infinitesimal neighborhoods, and moment restrictions’, Discussion Paper 1720, Cowles Foundation for Research in Economics, Yale University.
    Paper not yet in RePEc: Add citation now
  39. Kleibergen, F. (2005). ‘Testing parameters in GMM without assuming that they are identified’, Econometrica, 73: 1103–1124.

  40. Kolesar, M., Chetty, R., Friedman, J., Glaeser, E., and Imbens, G. (2015). ‘Identification and inference with many invalid instruments’, Journal of Business Economics and Statistics, 33: 474–484.
    Paper not yet in RePEc: Add citation now
  41. Lindsay, B. (1994). ‘Efficiency versus robustness: The case for minimum Hellinger distance and related methods’, Annals of Statistics, 22: 1081–1114.
    Paper not yet in RePEc: Add citation now
  42. Maasoumi, E. (1990). ‘How to live with misspecification if you must’, Journal of Econometrics, 44: 67–86.
    Paper not yet in RePEc: Add citation now
  43. Maasoumi, E., and Phillips, P. C. B. (1982). ‘On the behavior of inconsistent instrumental variable estimators’, Journal of Econometrics, 19: 183–201.
    Paper not yet in RePEc: Add citation now
  44. Magnus, J. R., and Neudecker, H. (1999). Matrix Differential Calculus with Applications in Statistics and Econometrics. Wiley, Chichester, 2nd edition edn.
    Paper not yet in RePEc: Add citation now
  45. Markatou, M. (2007). ‘Robust statistical inference: weighted likelihoods or usual m-estimation?’, Communications in Statistics - Theory and Methods, 25: 2597–2613.
    Paper not yet in RePEc: Add citation now
  46. Model C (s=1.0) and T=1000 HD ETEL ETHD -0.06-0.04-0.02 0 0.02 0.04 0.06 0 0.5 1 Model C (s=1.0) and T=5000 HD ETEL ETHD -0.04-0.03-0.02-0.01 0 0.01 0.02 0.03 0.04 0 0.5 1 Model C (s=1.0) and T=10000 HD ETEL ETHD -0.15-0.1-0.05 0 0.05 0.1 0.15 0.2 0 0.5 1
    Paper not yet in RePEc: Add citation now
  47. Nevo, A., and Rosen, A. (2012). ‘Identification with imperfect instruments’, Review of Economics and Statistics, 93: 659–671.
    Paper not yet in RePEc: Add citation now
  48. Newey, W. K. (1990). ‘Semiparametric Efficiency Bounds’, Journal of Applied Econometrics, 5: 99– 135.
    Paper not yet in RePEc: Add citation now
  49. Newey, W. K., and McFadden, D. L. (1994). ‘Large sample estimation and hypothesis testing’, in R. Engle and D. L. McFadden (eds.), Handbook of Econometrics, vol. 4, pp. 2113–2247. Elsevier Science Publishers, Amsterdam, The Netherlands.
    Paper not yet in RePEc: Add citation now
  50. Newey, W. K., and Smith, R. J. (2004). ‘Higher order properties of GMM and generalized empirical likelihood estimators’, Econometrica, 72: 219–255.

  51. Proof of Theorem 4.1: The proof follows similar lines as those of Theorem 3.1(ii) in KOE (2013a). To establish Fisher consistency, let Pθ,ζ be a regular sub-model such that for t ∈ Rp , Pθn,ζn ∈ BH(P∗, r/ √ n) for n large enough, with θn = θ∗ + t/ √ n and ζn = O(n−1/2 ). We further assume that EPθn,ζn [supθ∈Θ kg(X, θ)kα ] ≤ δ < ∞ for some δ > 0. (Note that the particular sub-model used by KOE to derive the lower bound in their Theorem 3.1(i) satisfies this condition.) We have to show that √ n(T̄(Pθn,ζn ) − θ∗ ) → t, as n → ∞. From Lemma C.5, √ n(T̄(Pθn,ζn ) − θ∗ ) = −ΣG′ Ω−1 √ nEPθn,ζn [gn(X, θ∗ )] + o(1). By a mean-value expansion, we have: √ nEPθn,ζn [gn(X, θ∗ )] = √ nEPθn,ζn [gn(X, θn)] − EPθn,ζn
    Paper not yet in RePEc: Add citation now
  52. Sandberg, I. W. (1981). ‘Global implicit function theorems’, IEEE Transactions on Circuits and Systems, CS-28: 145–149.
    Paper not yet in RePEc: Add citation now
  53. Schennach, S. (2007). ‘Point estimation with exponentially tilted empirical likelihood’, Annals of Statistics, 35: 634–672.
    Paper not yet in RePEc: Add citation now
  54. Smith, R. (2007). ‘Weak Instruments and Empirical Likelihood: a discussion of the papers by D.W.K. Andrews and J.H. Stock and Y. Kitamura’, in R. Blundell, W. Newey, and T. Persson (eds.), Advances in Economics and Econometrics, Theory and Applications: Ninth World Congress of the Econometric Society, vol. 3, chap. 8, pp. 238–260. Cambridge: Cambridge University Press.

  55. Stock, J., and Wright, J. (2000). ‘GMM with weak identification’, Econometrica, 68: 1055–1096.
    Paper not yet in RePEc: Add citation now
  56. THE EXPONENTIALLY TILTED HELLINGER DISTANCE ESTIMATOR 25 Feinberg, E. A., Kasyanov, P. O., and Voorneveld, M. (2014). ‘Berges maximum theorem for noncompact image sets’, Journal of Mathematical Analysis and Applications, 413: 1040–1046.
    Paper not yet in RePEc: Add citation now
  57. THE EXPONENTIALLY TILTED HELLINGER DISTANCE ESTIMATOR 27 White, H. (1982). ‘Maximum likelihood estimation of misspecified models’, Econometrica, 50: 1–25. Appendix A. Results of the Monte Carlo study A.1. Experiment 1: estimation of a population mean.
    Paper not yet in RePEc: Add citation now

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