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Ramalho, E. A. & Ramalho, J. J. S. (2006). Two-step empirical likelihood estimation under stratified sampling when aggregate information is available. The Manchester School. 74 (5), 577-592
E. A. Ramalho and J. J. Ramalho, "Two-step empirical likelihood estimation under stratified sampling when aggregate information is available", in The Manchester School, vol. 74, no. 5, pp. 577-592, 2006
@article{ramalho2006_1734882721980, author = "Ramalho, E. A. and Ramalho, J. J. S.", title = "Two-step empirical likelihood estimation under stratified sampling when aggregate information is available", journal = "The Manchester School", year = "2006", volume = "74", number = "5", doi = "10.1111/j.1467-9957.2006.00510.x", pages = "577-592", url = "http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9957.2006.00510.x/abstract;jsessionid=44763230F44E147EDF247BF5D4BED19B.f03t04" }
TY - JOUR TI - Two-step empirical likelihood estimation under stratified sampling when aggregate information is available T2 - The Manchester School VL - 74 IS - 5 AU - Ramalho, E. A. AU - Ramalho, J. J. S. PY - 2006 SP - 577-592 SN - 1463-6786 DO - 10.1111/j.1467-9957.2006.00510.x UR - http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9957.2006.00510.x/abstract;jsessionid=44763230F44E147EDF247BF5D4BED19B.f03t04 AB - Empirical likelihood is appropriate to estimate moment condition models when a random sample from the target population is available. However, many economic surveys are subject to some form of stratification, in which case direct application of empirical likelihood will produce inconsistent estimators. In this paper we propose a two-step empirical likelihood estimator to deal with stratified samples in models defined by unconditional moment restrictions in the presence of some aggregate information such as the mean and the variance of the variable of interest. A Monte Carlo simulation study reveals promising results for many versions of the two-step empirical likelihood estimator. ER -