Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rami V. Tabri"'
Publikováno v:
Journal of Econometrics. 228:342-358
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0ef0fa2c49d06c8f7b88a2bfc6d5c96
https://doi.org/10.1016/j.jeconom.2021.09.016
https://doi.org/10.1016/j.jeconom.2021.09.016
Autor:
Thomas M. Lok, Rami V. Tabri
Publikováno v:
Journal of Econometrics. 224:371-393
Bootstrap Testing for restricted stochastic dominance of a pre-specified order between two distributions is of interest in many areas of economics. This paper develops a new method for improving the performance of such tests that employ a moment sele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b69cde3f72792f409eb7f8fd812999b
https://doi.org/10.1016/j.jeconom.2019.08.016
https://doi.org/10.1016/j.jeconom.2019.08.016
Autor:
Rami V. Tabri, Ruxin Chen
Publikováno v:
Journal of Econometrics. 221:68-77
Empirical likelihood is effective in many different practical situations involving moment equality and/or inequality restrictions. However, in applications with nonlinear functionals of the underlying distribution, it becomes computationally more dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec80947d0e1514d568899dfdbb853740
https://doi.org/10.1016/j.jeconom.2019.11.007
https://doi.org/10.1016/j.jeconom.2019.11.007
Publikováno v:
Health economics. 27(5)
The health concentration curve is the standard graphical tool to depict socioeconomic health inequality in the literature on health inequality. This paper shows that testing for the absence of socioeconomic health inequality is equivalent to testing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::802cbb278e1b86beb16d85a781f727ea
https://pubmed.ncbi.nlm.nih.gov/29383773
https://pubmed.ncbi.nlm.nih.gov/29383773
Autor:
Rami V. Tabri
Publikováno v:
SSRN Electronic Journal.
In this paper we provide a general solution to the problem of controlling the probability of a type I error in normality tests for the disturbances in linear regressions when using robust-regression residuals. We show that many classes of well-known
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3f6b39f8322517ca85fb2f0dadbc1fc
https://doi.org/10.2139/ssrn.2345221
https://doi.org/10.2139/ssrn.2345221