منابع مشابه
Tests for skewness and kurtosis in the one-way error component model
This paper derives tests for skewness and kurtosis for the one-way error components model. The test statistics are based on the between and within transformations of pooled OLS residuals, and are derived in a conditional moments framework. We derive the limiting distribution of the test statistics for panels with large cross-sectional and fixed time-series dimensions. The tests are implemented ...
متن کاملUniversal Test for Quantum One-Way Permutations
The next bit test was introduced by Blum and Micali and proved by Yao to be a universal test for cryptographic pseudorandom generators. On the other hand, no universal test for the cryptographic onewayness of functions (or permutations) is known, though the existence of cryptographic pseudorandom generators is equivalent to that of cryptographic one-way functions. In the quantum computation mod...
متن کاملA Comparative Analysis of Alternative Econometric Packages for the Unbalanced Two-way Error Component Model
Notwithstanding it was originally proposed to estimate Error Component Models (ECM) using balanced panels, most applications use unbalanced panels. When unbalanced panels include both time and individual random effects, special computational problems arise. Wansbeek and Kapteyn (1989) analyze algorithms for estimating unbalanced two-way ECM; Baltagi et al. (2002) compares three classes of estim...
متن کاملMinimum LM Unit Root Test with One Structural Break
In this paper, we propose a minimum LM unit root test that endogenously determines a structural break in intercept and trend. Critical values are provided, and size and power properties are compared to the endogenous one-break unit root test of Zivot and Andrews (1992). Nunes, Newbold, and Kuan (1997) and Lee and Strazicich (2001) previously demonstrated that the Zivot and Andrews test exhibits...
متن کاملOn the Size of the F-Test for the One-Way Random Model with Heterogeneous Error Variances
Traditional analysis of variance (ANOVA) tests are based on the assumption of homogeneous error variances, which often fails in real situations. Violation of this assumption affects not only the power of the standard F-test, but also its size. When a design is unbalanced, the effect of unequal error variances is even more complicated. In this paper, we study the effect of heterogeneous error va...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Econometrics
سال: 2006
ISSN: 0304-4076
DOI: 10.1016/j.jeconom.2005.06.029