Using a threshold vector error correction model approach, we find the wheat market of Russia to be segmented, with the primary grain export region poorly integrated with the domestic market. Results also indicate that trade costs are high, hindering the spatial market efficiency of wheat markets...

Using a threshold vector error correction model approach we find the wheat market of Russia segmented, with the primary grain export region poorly integrated into the domestic market. Results also indicate that trade costs are high, hindering spatial market efficiency of wheat markets in Russia....

The paper develops a general Bayesian framework for robust linear static panel data models using ε-contamination. A two-step approach is employed to derive the conditional type-II maximum likelihood (ML-II) posterior distribution of the coefficients and individual effects. The ML-II posterior...

The paper develops a general Bayesian framework for robust linear static panel data models using ε-contamination. A two-step approach is employed to derive the conditional type-II maximum likelihood (ML-II) posterior distribution of the coefficients and individual effects. The ML-II posterior...

The paper develops a general Bayesian framework for robust linear static panel data models using epsilon-contamination. A two-step approach is employed to derive the conditional type II maximum likelihood (ML-II) posterior distribution of the coefficients and individual effects. The ML-II...

The paper develops a general Bayesian framework for robust linear static panel data models using ε-contamination. A two-step approach is employed to derive the conditional type-II maximum likelihood (ML-II) posterior distribution of the coefficients and individual effects. The ML-II posterior...