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The incidental parameter problem since 1948

Lancaster, Tony·2000·Journal of Econometrics
DOI 10.1016/s0304-4076(99)00044-5
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Research works printed but not linked: 47

  1. Ahn, 1995, Efficient estimation of models for dynamic panel data, Journal of Econometrics, 68, 5, 10.1016/0304-4076(94)01641-C · DOI · Paper page
  2. Aigner, D., Hsiao, C., Kapteyn, A., Wansbeek, T., 1984. Latent variables. In: Engle, R.F., McFadden, D. (Eds.), Handbook of Econometrics, Vol 3. Elsevier, Amsterdam.
  3. Amemiya, T., 1985. Advanced Econometrics. Harvard University Press, Harvard.
  4. Andersen, 1970, Asymptotic properties of conditional maximum likelihood estimators, Journal of the Royal Statistical Society B, 32, 283, 10.1111/j.2517-6161.1970.tb00842.x · DOI · Paper page
  5. Anderson, 1981, Estimation of dynamic models with error cmponents, Journal of the American Statistical Association, 76, 598, 10.2307/2287517 · doi:10.2307/2287517 · Paper page
  6. Anscombe, 1964, Normal likelihoods, Annals of the Institute of Statistical Mathematics, 26, 1, 10.1007/BF02868558 · DOI
  7. Barndorff–Nielsen, O.E., 1978. Information and Exponential Families in Statistical Theory. Wiley, New York.
  8. Barro, R.J., Xavier Sala-i-Martin, 1994. Economic Growth. McGraw-Hill, New York. · doi:10.1007/978-1-349-27904-3_14
  9. Basu, 1977, On the elimination of nuisance parameters, Journal of the American Statistical Association, 72, 355, 10.2307/2286800 · doi:10.2307/2286800
  10. Chamberlain, G., 1984. Panel data. In: Griliches, Z., Intriligator, M.D. (Eds.), Handbook of Econometrics, Vol. 2. North-Holland, Amsterdam.
  11. Chamberlain, G., 1985. Heterogeneity, omitted variable bias, and duration dependence. In: Heckman, J.J., Singer, B. (Eds.), Longitudinal Analysis of Labor Market Data. Cambridge University Press, Cambridge. · DOI · Paper page
  12. Chamberlain, 1992, Comment: sequential moment restrictions in panel data, Journal of Business and Economic Statistics, 10, 20, 10.2307/1391799 · DOI
  13. Cox, 1987, Parameter orthogonality and approximate conditional inference (with discussion), Journal of the Royal Statistical Society B, 49, 1, 10.1111/j.2517-6161.1987.tb01422.x · DOI · Paper page
  14. David, 1995, First(?) occurence of common terms in mathematical statistics, The American Statistician, 49, 121, 10.2307/2684625 · doi:10.2307/2684625
  15. Diaconis, 1986, On the consistency of Bayes estimates, Annals of Statistics, 14, 1, 10.1214/aos/1176349830 · DOI · Paper page
  16. Ferguson, H., Reid N., Cox, D.R., 1991. Estimating equations from modified profile likelihood. In: Godambe, V.P. (Ed.), Estimating Functions. Oxford University Press, Oxford. · doi:10.1093/oso/9780198522287.003.0021
  17. Fisher, 1923, Statistical tests of agreement between observation and hypothesis, Economica, 3, 139, 10.2307/2548482 · doi:10.2307/2548482
  18. Fisher, 1935, The mathematical distributions used in the common tests of significance, Econometrica, 3, 353, 10.2307/1905628 · doi:10.2307/1905628
  19. Godambe, 1960, An optimum property of regular maximum likelihood estimation, Annals of Mathematical Statistics, 31, 1208, 10.1214/aoms/1177705693 · DOI
  20. Hahn, 1994, The efficiency bound of the mixed proportional hazard model, Review of Economic Studies, 61, 607, 10.2307/2297911 · doi:10.2307/2297911
  21. Hausman, 1984, Econometric models for count data with an application to the patents – R&D Relationship, Econometrica, 52, 909, 10.2307/1911191 · DOI · Paper page
  22. Heckman, J.J., 1981. The incidental parameters problem and the problem of initial conditions in estimating a discrete time-discrete data stochastic process. In: Manski, C.F., McFadden, D. (Eds.), Structural Analysis of Discrete Data with Econometric Applications. MIT Press, Cambridge, MA.
  23. Honoré, 1992, Trimmed LAD and least squares estimation of truncated and censored regression models with fixed effects, Econometrica, 60, 533, 10.2307/2951583 · DOI · Paper page
  24. Hsiao, C., 1986. Analysis of Panel Data. Cambridge University Press, Cambridge.
  25. Jeffreys, H., 1960. Theory of Probability, 3rd Edition, Oxford University Press, Oxford.
  26. Johnston, J., 1964. Econometric Methods, McGraw-Hill, New York.
  27. Johnston, J., DiNardo, J., 1997. Econometric Methods. McGraw-Hill, New York.
  28. Kalbfleisch, 1978, Non-parametric Bayesian analysis of survival time data, Journal of the Royal Statistical Society B, 40, 214, 10.1111/j.2517-6161.1978.tb01666.x · DOI · Paper page
  29. Lancaster, T., 1990. The econometric analysis of transition data. Cambridge University Press, Cambridge. · DOI · Paper page
  30. Lancaster, T., 1997. Orthogonal parameters and panel data. Brown University Working paper, pp. 97–32.
  31. Leamer, E.E., 1978. Specification Searches. Wiley, New York.
  32. Liang, 1987, Estimating functions and approximate conditional likelihood, Biometrika, 74, 695, 10.1093/biomet/74.4.695 · DOI
  33. Liang, 1995, Inference based on estimating functions in the presence of nuisance parameters, Statistical Science, 10, 158, 10.1214/ss/1177010028 · DOI
  34. Lindsey, J., 1996. Parametric Statistical Inference. Oxford University Press, Oxford. · DOI · Paper page
  35. Manski, 1987, Semiparametric analysis of random effects linear models from binary panel data, Econometrica, 55, 357, 10.2307/1913240 · DOI · Paper page
  36. Morgan, M.S., 1990. The history of econometric ideas. Cambridge University Press, Cambridge. · DOI · Paper page
  37. Mundlak, 1961, Empirical production function free of management bias, Journal of Farm Economics, 43, 44, 10.2307/1235460 · DOI · Paper page
  38. Newey, W.K., McFadden, D., 1994. Large sample estimation and hypothesis testing. (Chapter 36) In: Engle, R.F., McFadden, D. (Eds.), Handbook of Econometrics, Vol. 4. Elsevier, Amsterdam. · DOI · Paper page
  39. Neyman, J., Pearson, E.S., 1928. On the use and interpretation of certain test criteria for the purposes of statistical inference. Biometrika 20A, 175; 263. · DOI · Paper page
  40. Neyman, 1948, Consistent estimation from partially consistent observations, Econometrica, 16, 1, 10.2307/1914288 · DOI · Paper page
  41. Poirier, D.J. (1995). Intermediate Statistics and Econometrics. MIT Press, Cambridge, MA.
  42. Powell, J.L. (1994). Estimation of semiparametric models. Chapter 41. In: Engle, R.F., McFadden, D. (Eds.), Handbook of Econometrics, Vol. 4. Elsevier, Amsterdam.
  43. Reid, 1995, The roles of conditioning in inference, Statistical Science, 10, 138, 10.1214/ss/1177010027 · DOI · Paper page
  44. Reid, N., 1996. Likelihood and Bayesian approximation methods. In: Bernardo, J.M., Berger, Jo.O., Dawid, A.P., Smith, A.F.M. (Eds.), Bayesian Statistics, Vol. 5. Oxford Science Publications, Oxford.
  45. Stuart, A., Ord, J.K., 1991. Kendall's Advanced Theory of Statistics. Oxford University Press, Oxford.
  46. Sweeting, T., 1987. Discussion of Cox and Reid, 1987. · DOI
  47. Theil, H. 1971. Principles of Econometrics. Wiley, New York.

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Metadata

Authors
Lancaster, T.
Venue
Journal of Econometrics
Publisher
Elsevier BV
Published
2000-04
Volume
95
Issue
2
Pages
391-413
ISSN
0304-4076 (ISSN-L)
DOI
10.1016/s0304-4076(99)00044-5
OpenAlex
W2136057165
Cited by
1,125
References
4
FWCI
33.10
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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Lancaster, T. (2000). The incidental parameter problem since 1948. Journal of Econometrics. https://doi.org/10.1016/s0304-4076(99)00044-5

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