From MultiJEDI to MOUSSE: Two ERC Projects for innovating multilingual disambiguation and semantic parsing of text

In this paper we present two interrelated projects funded by the European Research Council (ERC) aimed at addressing and over- coming the current limits of lexical semantics: MultiJEDI (Section 2) and MOUSSE (Section 4). We also present the results of Babelscape (Section 3), a Sapienza spin-off company with the goal of making the project outcomes sustainable in the long ter

Location Choices of Multinational Firms in Europe: the Role of National Bourdaries and EU Policy

We examine the determinants of multinational firms’ location choices in Europe by estimating a nested logit model on a data-set of 5,761 foreign subsidiaries established in 55 regions in 8 EU countries over the period 1991-1999. We find that firms perceive regions across different countries as more similar than regions within national borders. This might be revealing that the process of European integration has reduced the national specificities perceived by multinationals and that regions within Europe attract FDIs more across than within countries. Controlling for regional market size and potential, agglomeration economies and labor markets conditions, we also find that EU regional policy, captured by Cohesion Funds and Objective 1 eligibility, played a significant role in attracting multinationals, thus mitigating the agglomeration forces at work. Differences emerge in determinants of EU and US multinationals location choices, with special reference to the role of labor markets.Europe, Foreign Direct Investments; Location; Nested Logit Models

Wages Differentials and Interregional Migration in the U. S. : An Empirical Test of the "Option Value of Waiting" Theory

The "option value of waiting" theory applied to interregional migration predicts that a potential migrant actually moves only when the wage differential between origin and destination places exceeds a certain threshold, which might be much higher than the Marshallian trigger. In this paper we exploit the panel structure of a dataset on interregional migration among nineteen MSAs in the US from 1993 to 2001 to estimate a modified dynamic gravity model of migration. In particular, using both semi-parametric and GMM estimators (taking into account possible endogeneity of the explanatory variables), we find robust evidence of a non-linear relation between migration and wage differentials. With a wage differential smaller than a certain threshold, people rarely move controlling for the other socioeconomic variables. Only beyond the threshold, the interregional migration grows rapidly proving an important role of the option value of waiting in migration decision process.

Attracting Foreign Investments in Europe - are Italian Regions Doomed?

Foreign direct investments in Europe have grown substantially over the last decade, but Italian regions account for a very small portion of such increase. Why does Italian regions attract such a low number of foreign investors? Is it a regional or a country problem? One explanation for this pattern could be that the characteristics of Italian regions are not attractive to foreign multinationals. A different, although not alternative, explanation is that Italian regions may be ‘doomed’ by the fact that they all share common national policies and institutions (such as, tax regimes, efficiency of bureaucracy, degree of labour market regulation and effectiveness of the legal and property right protection system) which discourage foreign firms to locate their plants in Italy. This view follows a tradition of cross-country studies which have addressed the role of institutional and policy characteristics as determinants of inward FDIs. In this paper we will model the potential attractiveness of 52 NUTS1 regions in 5 EU countries in terms of their main observable characteristics and will investigate whether Italian regions attract more or less than their potential. In other words, we will ask whether a EU region with the same characteristics of an Italian region will attract a different amount of FDIs. Second, we will evaluate the impact of some national policy and institutional characteristics on the attractiveness of regions and we will assess the role of such factors in explaining the Italian specificity. Third, we will simulate the relative contribution to FDIs in Italian regions of regional and national variables. This exercise will help us assessing to what extent the low attractiveness of Italian regions is the result of specific regional characteristics or of countrywide factors.

Location choices of multinational firms in Europe: the role of EU cohesion policy

In this paper we examine the determinants of location choices of multinational firms in Europe. In particular, we focus on the role of EU Cohesion Policy in attracting foreign investors from both within and outside Europe. Using data on 5,509 foreign subsidiaries established in 50 regions in 8 EU countries over the period 1991-1999, we estimate a mixed logit model of the determinants of MNFs’ location choices. We find that, after controlling for the role of agglomeration economies as well as a number of other regional and country characteristics and allowing for a very flexible correlation pattern among choices, Structural and Cohesion funds allocated by the EU to laggard regions have indeed contributed to attracting multinationals. These policies as well as other determinants play a different role in the case of European investors as opposed to non European ones.Europe; Foreign Direct Investments; Location Choice; Mixed Logit Models

Analyzing Intra-Distribution Dynamics: A Reappraisal

In this paper we suggest an alternative estimator and an alternative graphical analysis, both developed by Hyndman et al. (1996), to describe the law of motion of cross-sectional distributions of per-capita income and its components in Europe. This estimator has better properties than the kernel density estimator generally used in the literature on intra-distribution dynamics (cf. Quah, 1997). By using the new estimator, we obtain evidence of a very strong persistent behavior of the regions considered in the study, that is poor regions tend to remain poorer and rich regions tend to remain richer. These results are also in line with the most recent literature available on the distribution dynamic approach to regional convergence (Pittau and Zelli, 2006).

Spatial clustering and nonlinearities in the location of multinational firms

We propose a semiparametric geoadditive negative binomial model of industrial location which allows to simultaneously address some important methodological issues, such as spatial clustering and nonlinearities, which have been only partly addressed in previous studies. We apply this model to analyze location determinants of inward greenfield investments occurred over the 2003-2007 period in 249 European regions. The inclusion of a geoadditive component (a smooth spatial trend surface) allows to control for omitted variables which induce spatial clustering, and suggests that such unobserved factors may be related to regional policies towards foreign investors Allowing for nonlinearities reveals, in line with theoretical predictions, that the positive effect of agglomeration economies fades as the density of economic activities reaches some limit value.industrial location, negative binomial models, geoadditive models, european union.

Unit root and cointegration tests for cross-sectionally correlated panels. Estimating regional production functions

This paper employs recently developed non stationary panel methodologies that assume some cross-section dependence to estimate the production function for Italian regions in the industrial sector over the period 1970-1998. The analysis consists in three steps. First, unit root tests for cross-sectionally dependent panels are used. Second, the existence of a co-integrating relationship among value added, physical capital and human capital-augmented labor is investigated. The Dynamic OLS (DOLS) and Fully modified (FMOLS) estimators developed by Pedroni (1996, 2000, 2001) and the Panel Dynamic OLS (PDOLS) estimator proposed by Mark and Sul (2003)are then used to estimate the long run relationship between the variables considered.panel cointegration; cross-section dependence; production function

Unit root and cointegration tests for cross-sectionally correlated panels - Estimating regional production functions

There is a plethora of studies of regional production functions using stationary panel data. Only some recent works consider non-stationary panel data. All of them assume the hypothesis of cross-section independence. Here, we claim that the independence assumption is too strong when regional data are used. In this paper, the cross-section independence assumption is released and cross-sectional dependence is assumed. First, unit roots and cointegration properties of the panel dataset are properly investigated by using newly developed tests for cross-sectionally dependent panels. Second, dynamic OLS (DOLS) and recent regression models for cross-sectionally correlated panels are used to estimate the cointegrated relationship between value added, physical and human capital, for Italian regions over the period 1970-1998.

Location Determinants of Greenfield Foreign Investments in the Enlarged Europe: Evidence from a Spatial Autoregressive Negative Binomial Additive Model

This paper addresses two important methodological issues in the analysis of industrial location: spatial dependence and nonlinearities. To this end, we estimate a semi-parametric spatial autoregressive negative binomial model using data on the number of inward greenfield FDI occurred over the 2003-2007 period in 249 European regions. Results support the view that multinational firms’ location choices are very spatially dependent, even controlling for a large number of regional characteristics. A spatial lag model with a non-parametric spatial filter allows us to purge the residuals from spatial dependence and yields sensible changes in the magnitude of some estimated coefficients. We also provide robust evidence of nonlinearities. In particular, we find that the effect of agglomeration economies fades down as the density of economic activities reaches some limit value.Multinational firms, greenfield FDI, count data, spatial econometrics, semiparametric econometrics