Panel data is used to investigate the extent of R&D spillovers between OECD countries, and the importance of barriers to technology adoption in affecting the benefits of such spillovers. Our results indicate that countries with less regulated goods and labour markets benefit more from foreign R&D.

This paper analyzes the existing relationship between economic growth and the monitoring of corruption and examines the possible outcome of the implementation of a State reform in order to weed out corruption. Growth is always higher when monitoring is high and therefore corruption eradicated....

Several empirical studies are concerned with measuring the effect of currency and current account crises on economic growth. Using different empirical models this paper serves two aspects. It provides an explicit assessment of country specific factors influencing the costs of crises in terms of...

The paper investigates the relationship between external debt and economic growth, focusing on the role played by the policy and institutional framework. Results for a panel of 114 developing countries show that the debt-growth nexus depends on institutions and policies. The Debt-Laffer curve...

We consider the relationship between tourism and economic growth for Latin American countries since 1985 until 1998. The analysis proposed is based on a panel data approach and the Arellano-Bond estimator for dynamic panels. We obtain estimates of the relationship between economic growth and...

This paper contributes to the productivity literature by using results from firm-level productivity studies to improve forecasts of macro-level productivity growth. The paper employs current research methods on estimating firm-level productivity to build times-series components that capture the...

This paper addresses heterogeneity in determinants of economic growth in a data-driven way. Instead of defining groups of countries with different growth characteristics a priori, based on, for example, geographical location, we use a finite mixture panel model and endogenous clustering to...

An exact maximum likelihood method is developed for the estimation of parameters in a nonlinear non-Gaussian dynamic panel data model with unobserved random individual-specific and time-varying effects. We propose an estimation procedure based on the importance sampling technique. In particular,...

In the paper, the sources of productivity growth are investigated by an empirical analysis with micro data for West-German manufacturing firms. The theoretical framework corresponds to an augmented growth accounting approach based on a production function. The empirical results reveal that...

Not so much and we should not, at least not yet.