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This function tests homogeneity of the regression coefficients in heterogeneous generalized linear models with interactive effects.
HOMTESTGLM(X, Y, FAMILY, Nfactors, Maxit = 100, tol = 0.001)
The (NT) times p design matrix, without an intercept where N=number of individuals, T=length of time series, p=number of explanatory variables.
The T times N panel of response where N=number of individuals, T=length of time series.
A description of the error distribution and link function to be used in the model just like in glm functions.
A pre-specified number of common factors.
A maximum number of iterations in optimization. Default is 100.
Tolerance level of convergence. Default is 0.001.
A list with the following components:
Coefficients: The estimated heterogeneous coefficients.
Factors: The estimated common factors across groups.
Loadings: The estimated factor loadings for the common factors.
pvalue: The p-value of the homogeneity test.
Ando, T. and Bai, J. (2015) A simple new test for slope homogeneity in panel data models with interactive effects. Economics Letters, 136, 112-117.
# NOT RUN { fit <- HOMTESTGLM(data2X,data2Y,binomial(link=logit),2,10,0.5) # }
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