Panel data analysis has become an important tool in applied econometrics and the respective statistical techniques are well described in several recent textbooks. However, for an analyst using these methods there remains the task of choosing a reasonable model for the behavior of the panel data. Of special importance is the choice between so-called fixed and random coefficient models. This choice can have a crucial effect on the interpretation of the analyzed phenomenon, which is demonstrated by an application on research and development spillover. (author's abstract) / Series: Forschungsberichte / Institut für Statistik

This paper concentrates on the central link between productivity and knowledge capital, and shifts attention from firms and industries to regions. The objective is to measure knowledge elasticity effects within a regional Cobb- Douglas production function framework, with an emphasis on knowledge spillovers. The analysis uses a panel of 203 European regions to estimate the effects over the period 1997-2002. The dependent variable is total factor productivity (TFP). We use a region-level relative TFP index as an approximation to the true TFP measure. This index describes how efficiently each region transforms physical capital and labour into outputs. The explanatory variables are internal and out-of-region stocks of knowledge, the latter capturing the contribution of interregional knowledge spillovers. We use patents to measure knowledge capital. Patent stocks are constructed such that patents applied at the European Patent Office in one year add to the stock in the following and then depreciate throughout the patents effective life according to a rate of knowledge obsolescence. A random effects panel data spatial error model is advocated and implemented for analyzing the productivity effects. The findings provide a fairly remarkable confirmation of the role of knowledge capital contributing to productivity differences among regions, and adding an important dimension to the discussion, showing that knowledge spillover effects increase with geographic proximity. (authors' abstract)

Agricultural support levels are at a crossroad with reduced distortions in OECD countries and increasing support for agricultural producers in emerging economies over the last decades. This paper studies the determinants of distortions in the agricultural markets by putting a specific focus on the role of trade policy. Applying various different dynamic panel data estimators and explicitly accounting for potential endogeneity of trade policy agreements, we find that an increase in the number of bilateral free trade agreements exhibits significant short- and long-run distortion reducing effects. By contrast, WTO's Uruguay Agreement on Agriculture has not been able to systematically contribute to a reduction in agriculture trade distortions. From a policy point of view our findings thus point to a lack of effectiveness of multilateral trade negotiations. / Series: Department of Economics Working Paper Series

El objetivo del presente trabajo es analizar la existencia de trampas de pobreza en Argentina. Para ello se estima la dinámica de ingresos a partir de un pseudo panel construido con información brindada por la Encuesta Permanente de Hogares. Esta metodología permite superar los problemas econométricos que enfrenta la estimación de trampas de pobreza: carencia de un panel para un periodo largo de tiempo, attrition y la presencia de errores no clásicos de medición en los ingresos. Los resultados encontrados descartan la existencia de trampas de pobreza debido a no linealidades en la dinámica de ingresos. / The aim of this paper is to analyze the existence of poverty traps in Argentina. In order to do it so, the income dynamic was estimated by using a pseudo panel built from the Encuesta Permanente de Hogares. This methodology allows to overcome econometric challenges involved in testing for the presence of poverty traps: lack of long duration panels, attrition, and measurement error in income. The results do find no evidence for the existence of poverty traps due to nonlinearities in income dynamics.

This paper investigates the impact of knowledge capital stocks on total factor productivity through the lens of the knowledge capital model proposed by Griliches (1979), augmented with a spatially discounted cross-region knowledge spillover pool variable. The objective is to shift attention from firms and industries to regions and to estimate the impact of cross-region knowledge spillovers on total factor productivity (TFP) in Europe. The dependent variable is the region-level TFP, measured in terms of the superlative TFP index suggested by Caves, Christensen and Diewert (1982). This index describes how efficiently each region transforms physical capital and labour into output. The explanatory variables are internal and out-of-region stocks of knowledge, the latter capturing the contribution of cross-region knowledge spillovers. We construct patent stocks to proxy regional knowledge capital stocks for N=203 regions over the 1997- 2002 time period. In estimating the effects we implement a spatial panel data model that controls for the spatial autocorrelation due to neighbouring regions and the individual heterogeneity across regions. The findings provide a fairly remarkable confirmation of the role of knowledge capital contributing to productivity differences among regions, and add an important spatial dimension to the discussion, by showing that productivity effects of knowledge spillovers increase with geographic proximity. (authors' abstract)

This paper investigates the impact of knowledge capital stocks on total factor productivity through the lens of the knowledge capital model proposed by Griliches (1979), augmented with a spatially discounted cross-region knowledge spillover pool variable. The objective is to shift attention from firms and industries to regions and to estimate the impact of cross-region knowledge spillovers on total factor productivity (TFP) in Europe. The dependent variable is the region-level TFP, measured in terms of the superlative TFP index suggested by Caves, Christensen and Diewert (1982). This index describes how efficiently each region transforms physical capital and labour into output. The explanatory variables are internal and out-of-region stocks of knowledge, the latter capturing the contribution of cross-region knowledge spillovers. We construct patent stocks to proxy regional knowledge capital stocks for N=203 regions over the 1997- 2002 time period. In estimating the effects we implement a spatial panel data model that controls for the spatial autocorrelation due to neighbouring regions and the individual heterogeneity across regions. The findings provide a fairly remarkable confirmation of the role of knowledge capital contributing to productivity differences among regions, and add an important spatial dimension to the discussion, by showing that productivity effects of knowledge spillovers increase with geographic proximity. (authors' abstract)

Based on the gravity model by Baier and Bergstrand (2001), we use a static and dynamic panel data approach to estimate the relative contributions of income growth, income convergence, and the reductions in tariffs and trade costs to the growth of intra-EU trade over the period 1960 to 2000. The results suggest that income growth was the major force, accounting for approximately two third of total growth. Trade liberalization still had a sizeable effect, accounting de facto for the rest of growth, while income convergence played only a minor role. Reductions in trade costs had no significant effect on the growth of intra- EU trade. The results turn out as robust against several robustness checks and the use of alternative estimators. / Series: EI Working Papers / Europainstitut

We estimate the speed of income convergence for a sample of 196 European NUTS 2 regions over the period 1985-1999. So far there is no direct estimator available for dynamic panels with strong spatial dependencies. We propose a two-step procedure, which involves first spatial filtering of the variables to remove the spatial correlation, and application of standard GMM estimators for dynamic panels in a second step. Our results show that ignorance of the spatial correlation leads to potentially misleading results. Applying a system GMM estimator on the filtered variables, we obtain a speed of convergence of 6.9 per cent and a capital elasticity of 0.43. / Series: EI Working Papers / Europainstitut

The paper analyses the relationship between succession and firm performance. Using a unique panel data set on a sample of roughly 4,000 Austrian family firms we examine empirically the impact of past succession as well as future succession plans on employment growth and investment behaviour. Analysing succession plans, we do not find a 'shadow of succession' effect. No significant difference in employment growth and investment behaviour is found between firms that plan to transfer the firm in the next ten years and those who do not. In contrast, past succession exerts a significant and positive employment growth effect which becomes stronger over time. The impact of past succession on investments is also positive but not significantly different from zero. Thus, our findings provide support for the existence of a positive employment shadow after a transfer, whereas the shadow of succession hypothesis has to be rejected prior to transition. (author's abstract) / Series: Discussion Papers SFB International Tax Coordination

A phantom is haunting the EU enlargement process. Some fear that the Balassa-Samuelson (B-S) effect might be a major obstacle for the Central and Eastern European countries (CEEC) to become members of the Economic and Monetary Union (EMU). A review of the relevant literature reveals that most estimations of the B-S effect in the EU acceding countries are flawed by one kind or the other. Either they do not estimate correctly the B-S propositions, or if they measure it they use a variety of measures for the variables needed. Additionally, the B-S effect is only a special case of a broader approach towards equilibrium real exchange rates. Lastly the B-S effect is studied in a CGE multi-country world in order to detect possible spillover effects. After describing the "official" road map towards the EMU, it is concluded that the uncertainties in measuring the B-S are much too high in order to see in it (alone) a major hindrance for the CEEC to become early members of the EMU. Moreover, real exchange rate appreciations that reflect productivity gains in the tradable sector are an equilibrium phenomenon and do not require a policy response. They are a natural phenomena in catching-up countries like the CEEC. Furthermore, the official doctrine for entering the EMU by the EU/ECB only interdicts depreciations but not appreciations for potential EMU members. (author's abstract) / Series: EI Working Papers / Europainstitut