The model considered is a two-equations model consisting of a binary choice equation and a regression equation. Tests for the bivariate normal distribution are derived for the truncated samples case and the censored samples case. The tests are Lagrangean multiplier tests for testing the bivariate normal distribution within the bivariate Edgeworth series of distributions. Simple intuitive interpretations for the statistics are provided.For the truncated case, the test compares with the estimated differences between some sample moments of order (r,s) for which r + s > 2 and the corresponding hypothesized moments of the disturbances. For the censored case, the test is equivalent to the testing of some sample semi-invariants for which r + s > 2 are zeros.
MLA
Lee, Lung-Fei. “Tests for the Bivariate Normal Distribution in Econometric Models with Selectivity.” Econometrica, vol. 52, .no 4, Econometric Society, 1984, pp. 843-863, https://www.jstor.org/stable/1911187
Chicago
Lee, Lung-Fei. “Tests for the Bivariate Normal Distribution in Econometric Models with Selectivity.” Econometrica, 52, .no 4, (Econometric Society: 1984), 843-863. https://www.jstor.org/stable/1911187
APA
Lee, L.-F. (1984). Tests for the Bivariate Normal Distribution in Econometric Models with Selectivity. Econometrica, 52(4), 843-863. https://www.jstor.org/stable/1911187
We are deeply saddened by the passing of Kate Ho, the John L. Weinberg Professor of Economics and Business Policy at Princeton University and a Fellow of the Econometric Society. Kate was a brilliant IO economist and scholar whose impact on the profession will resonate for many years to come.
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