This paper employs a time series cointegration approach to evaluate the relationship between manufacturing firm failure and macroeconomic factors for the Swedish manufacturing sector in the period 1986 – 2006. It uses quarterly data for this period. We found that in long run a firms’ failure...

In this paper, we propose a Nonlinear Dickey-Fuller test for unit root against first order Logistic Smooth Transition Autoregressive LSTAR (1) model with time as the transition variable. The Nonlinear Dickey-Fuller test statistic is established under the null hypothesis of random walk without...

In this paper we generalize the median regression method in order to make it applicable to systems of regression equations. Given the existence of proper systemwise medians of the errors from different equations, we apply the weighted median regression with the weights obtained from the...

In this paper we generalize four tests of multivariate linear hypothesis to panel data unit root testing. The test statistics are invariant to certain linear transformations of data and therefore simulated critical values may conveniently be used. It is demonstrated that all four tests remains...

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...

Multilevel (ML) models allow for total variation in the outcome to be decomposed as level one and level two or ‘individual and group’ variance components. Multilevel Mixture (MLM) models can be used to explore unobserved heterogeneity that represents different qualitative relationships in...

This paper introduces two different non-parametric tests for panel unit root based on the wavelet decomposition of time series which may be used in the presence of cross-sectional dependency and an unknown structural break in the data. These tests are compared with the parametric IPS test...

This paper examines the application of the Least Absolute Deviations (LAD) method for ridge-type parameter estimation of Seemingly Unrelated Regression Equations (SURE) models. The methodology is aimed to deal with the SURE models with non-Gaussian error terms and highly collinear predictors in...

The zero inflated Poisson regression model is very common when analysing economic data that comes in the form of non-negative integers since it accounts for excess zeros and over-dispersion of the dependent variable. This model may be used in innovation analysis to see for example the impact on...

In this paper we introduce an interesting feature of the Generalized Least Absolute Deviations (GLAD) method for Seemingly Unrelated Regression Equations (SURE) models. Contrary to the collapse of Generalized Least Squares (GLS) parameter estimations of SURE models to the Ordinary Least Squares...