Despite that interaction terms are standard tools of regression analysis, the side effects of the inclusion of these terms in models estimated by ordinary least squares (OLS) are yet not fully penetrated. The inclusion of interaction effects induces multicollinearity problems since all non-zero...

This paper studies the impact of remittances on investment. Workers’ remittances to developing countries have grown to be an important source of financing, amounting to around $300 billion a year. The funds are used for both consumption and investment in the home countries of the migrants. The...

In this the size and power properties of the common factor Im, Pesaran and Shin (CIPS), Wald (W), likelihood ratio (LR) and Lagrange multiplier (LM) tests are investigated when the error term follows a spatial error model. The results from the Monte Carlo simulations used in this study, firstly...

In this paper, three innovative panel error correction model (PECM) tests are proposed. These tests are based on the multivariate versions of the Wald (W), Likelihood Ratio (LR) and Lagrange Multiplier (LM) tests. By means of Monte Carlo simulations, the size and power properties of the tests...

This paper analyzes and compares the properties of the most commonly applied versions of the Granger causality (GC) test to a new ridge regression GC test (RRGC), in the presence of multicollinearity. The investigation has been carried out using Monte Carlo simulations. A large number of models...