A simple test for heteroscedastic disturbances in a linear regression model is developed using the framework of the Lagrangian multiplier test. For a wide range of heteroscedastic and random coefficient specifications, the criterion is given as a readily computed function of the OLS residuals. Some finite sample evidence is presented to supplement the general asymptotic properties of Lagrangian multiplier tests
This paper is concerned with the problem of testing a subset of the parameters which characterize th...
Lagrange multiplier (LM) test statistics are derived for testing a linear moving average model again...
This paper shows that a test for heteroskedasticity within the context of classical linear regressio...
In this paper we propose a testing technique for multivariate heteroscedasticity, which is expressed...
The quite general test for heteroskedasticity presented here regresses the absolute values of the re...
Abstract: The testing problem for the hypothesis of linearity against the double threshold autoregre...
A new test for heteroscedasticity in regression models is presented based on the Goldfeld-Quandt met...
This study explores the performance of several two-stage procedures for testing ordinary least-squar...
This paper addresses the null distribution of the Lagrange-multiplier statistic for the threshold au...
The paper is devoted to the least weighted squares estimator, which is one of highly robust estimato...
An asymptotic test for heteroskedasticity has been developed. The test does not rely on any assumpti...
This paper shows that a test for heteroskedasticity within the context of classical linear regressio...
This paper proposes a new test statistic to deter the presence of heteroskedasticity. The proposed t...
This paper has two aims. The first is to exposit the various forms of the LM statistic and to collec...
Statistical tests routinely adopted for detecting nonlinear components in time series rely on the au...
This paper is concerned with the problem of testing a subset of the parameters which characterize th...
Lagrange multiplier (LM) test statistics are derived for testing a linear moving average model again...
This paper shows that a test for heteroskedasticity within the context of classical linear regressio...
In this paper we propose a testing technique for multivariate heteroscedasticity, which is expressed...
The quite general test for heteroskedasticity presented here regresses the absolute values of the re...
Abstract: The testing problem for the hypothesis of linearity against the double threshold autoregre...
A new test for heteroscedasticity in regression models is presented based on the Goldfeld-Quandt met...
This study explores the performance of several two-stage procedures for testing ordinary least-squar...
This paper addresses the null distribution of the Lagrange-multiplier statistic for the threshold au...
The paper is devoted to the least weighted squares estimator, which is one of highly robust estimato...
An asymptotic test for heteroskedasticity has been developed. The test does not rely on any assumpti...
This paper shows that a test for heteroskedasticity within the context of classical linear regressio...
This paper proposes a new test statistic to deter the presence of heteroskedasticity. The proposed t...
This paper has two aims. The first is to exposit the various forms of the LM statistic and to collec...
Statistical tests routinely adopted for detecting nonlinear components in time series rely on the au...
This paper is concerned with the problem of testing a subset of the parameters which characterize th...
Lagrange multiplier (LM) test statistics are derived for testing a linear moving average model again...
This paper shows that a test for heteroskedasticity within the context of classical linear regressio...