A low-dimension portmanteau test for non-linearity

A new test for non-linearity in the conditional mean is proposed using functions of the principal components of regressors. The test extends the non-linearity tests based on KolmogorovGabor polynomials (Thursby and Schmidt, 1977; Tsay, 1986; Tersvirta et al., 1993), but circumvents problems of high...

সম্পূর্ণ বিবরণ

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Castle, J, Hendry, D
বিন্যাস: Journal article
প্রকাশিত: Elsevier 2010
বিবরন
সংক্ষিপ্ত:A new test for non-linearity in the conditional mean is proposed using functions of the principal components of regressors. The test extends the non-linearity tests based on KolmogorovGabor polynomials (Thursby and Schmidt, 1977; Tsay, 1986; Tersvirta et al., 1993), but circumvents problems of high dimensionality, is equivariant to collinearity, and includes exponential functions, so is a portmanteau test with power against a wide range of possible alternatives. A Monte Carlo analysis compares the performance of the test to the optimal infeasible test and to alternative tests. The relative performance of the test is encouraging: the test has the appropriate size and has high power in many situations.