This study examines the impact of ICT growth on the productivity effects of transportation infrastructure. Using dynamic panel data of OECD member countries, the study finds econometrically meaningful results on examining the complementarity between ICT and transportation infrastructures. The...

This paper examines the impact of ICT network on productivity contribution of transportation infrastructure. Using dynamic panel data of OECD member countries, the paper finds that there exists significant complementarity between ICT network and transportation infrastructure. The network effect...

This paper estimates the non-linear impact of ICT network on motorway contribution to total factor productivity. Using dynamic panel data of OECD member countries, the paper finds that there exists a critical mass of broadband penetration rate which has the property that if this threshold level...

This paper examines the determinants of bilateral environmental aid to mitigate climate change, using an empirically testable multilateral framework in which both donors and recipient countries compete in world export markets. Potential donors tend to behave strategically, weighing environmental...

This paper models the international competition between a domestic firm and its vertically integrated foreign rival. The domestic firm has the choice of developing its own production capability for an intermediate input, or of importing it from the foreign firm at a price set by the latter. In...

While differencing transformations can eliminate nonstationarity, they typically reduce signal strength and correspondingly reduce rates of convergence in unit root autoregressions. The present paper shows that aggregating moment conditions that are formulated in differences provides an orderly...

This paper introduces a new estimation method for dynamic panel models with fixed effects and AR(p) idiosyncratic errors. The proposed estimator uses a novel form of systematic differencing, called X-differencing, that eliminates fixed effects and retains information and signal strength in cases...

Least absolute deviations (LAD) estimation of linear time-series models is considered under conditional heteroskedasticity and serial correlation. The limit theory of the LAD estimator is obtained without assuming the finite density condition for the errors that is required in standard LAD...