1,721,023 research outputs found
“Supply-Side and More Conventional Demand Side Shocks in a Structural Model for Italian Regional Growth”.17th European Advanced Studies Institute in Regional Science - Split, Croatia, July 2004
No full textThe paper presents a dynamic econometric model of fondamental economic relationships at regional level. Administrative Italian districts (i.e regions) are examined. The model, integrating in a coherent setting features of nominal rigidities and real business cycle, makes possible evuluate demand and supply shocks
A micro-founded approach to regional innovation in Italy
No full textRecent regional studies have taken a micro-founded perspective to uncover the influence of the external environment on the firm-level innovative performance. Despite the marked spatial disparities, there is a general lack of recent evidence on Italian regional innovation from a micro perspective. This paper fills this gap in the evidence base by estimating regional Knowledge Production Functions using Italian micro-data collected in the Community Innovation Survey. In particular, here we focus on the regional differences in the relationship between innovative inputs and outputs and on the ability of firms to absorb external knowledge. This analysis allows us to outline different regional innovative profiles in Italy
SMEs' heterogeneity at the extensive margin and within the intensive margin of trade
No full textIn this paper, we contribute to the literature on firm-heterogeneity and trade, by looking
not only at the firm-level determinants of trade participation (i.e. extensive margin)
but also at differences between firms with different levels of trade intensity (i.e. intensive
margin). Further, we compare firms that are born ‘local’ and display different scales
of international exposure to firms that are born ‘global’, i.e. access international markets
soon after their birth. Using a large World Bank dataset of SMEs from 112 countries
and qualitative dependent variable models, our analysis uncovers the heterogeneity of
SMEs not only at the extensive margin but also within the intensive margin of trade.
Born local and born global firms present different characteristics
Convergence analysis for hierarchical longitudinal data
No full textConvergence analysis is typically envisaged either from a macro or a micro perspective. However, empirical tests tend to ignore that the two levels are often “nested” in a hierarchy. Building on hierarchical growth curve modelling, we propose an approach to convergence analysis that allows contemporaneous inference on macro and micro-convergence. Compared to the classic linear convergence analysis, the suggested methodology provides a more flexible alternative to model heterogeneity and validate the results for possible Galton’s fallacy. We illustrate the approach in two empirical examples, one considering convergence across European regions and countries and the other across Italian firms and regions. In the European case, we find that the evidence of convergence depends on the choice of cross-sectional sample. Evidence on convergence in Italy applies only to part of the temporal sample and, therefore, is not robust to Galton’s fallacy. Our analysis returns more robust results on the convergence process and allows better inference for policy intervention. We can envisage that this approach will find increasing applications in the future, as disaggregated data becomes available and heterogeneity becomes an increasingly prominent feature in economic modelling
Early Propensity to Migrate: A Descriptive Analysis from A Survey of Schooled Teenagers in a Southern Italian City
No full textThe brain drain from the south of Italy is a well-known and unfortunately increasingly
alarming phenomenon. In recent times, the demographic decline due to migration
has been coupled by a worrying decrease in the average age at which this process starts.
While most of the existing literature has looked at the problem looking at migrant workers,
especially in relation to their level of schooling or education, here we look at the
propensity to migrate at an earlier stage of life while people are still in their secondary
school studies. Using a unique field survey conducted over a large sample of students
in the city of Palermo we uncover that more than three quarters of the interviewed sample
would consider moving far away from the family after completing their studies. We
perform a simple descriptive analysis to look at how this propensity to migrate changes
depending on some individual and family characteristics of the respondents
Big data analytics and internationalisation in Italian firms
No full textThe chapter focuses on the role of big data in developing firms’ international
e-commerce. We explore the effect of three different types of big data approaches on the probability of firms entering international markets via web sales. Specifically, we consider the following approaches: (a) use of big data managed by internal firm staff; (b) use of big data managed by specialised consulting firms; and (c) use of big data jointly managed by internal firm staff and specialised consultant firms. Applying qualitative data models on a large sample of Italian firms (about 18,900 firms), we find that the use of big data managed by internal staff or by specialised consulting firms is positively associated with the development of international e-commerce, but with important differences in relation to the firm size
Should I stay or should I go? Knowledge spillovers, technological level, and new-firm survival
No full textThree-Year Survival Probability of Italian Start-up Businesses in Healthcare Industry: an Empirical Investigation through Logistic Multilevel Modelling
No full textThe purpose of this contribution is to provide novel evidence about the main determinants of the short-run survival of pharmaceutical and medical device manufacturing start-up firms in Italy. In order to assess both the firm-specific de- terminants and the observed and unobserved regional and contextual characteris- tics, we model the three-year firm survival probability by means of a multilevel lo- gistic framework. The empirical analysis focuses on an internationally comparable database of the population of firms built up and managed by the Italian National In- stitute of Statistics (ISTAT), in accordance with the procedures suggested by OECD and EUROSTAT, which guarantee that data are not affected by the typical inconsis- tencies of the National Business Registers and hence provide the true information about firm entries and exits. The size of this dataset and the high number of regional random effects, however, makes the standard estimation techniques of the multi- level logistic model computationally unfeasible. The estimation is then performed by means of the cross-entropy method for noisy optimization suggested by [2]
Three-Year Survival Probability of Italian Start-up Businesses in Healthcare Industry: an Empirical Investigation through Logistic Multilevel Modelling
No full textThe purpose of this contribution is to provide novel evidence about the main determinants of the short-run survival of pharmaceutical and medical device manufacturing start-up firms in Italy. In order to assess both the firm-specific determinants and the observed and unobserved regional and contextual characteristics, we model the three-year firm survival probability by means of a multilevel logistic framework.
The empirical analysis focuses on an internationally comparable database of the population of firms built up and managed by the Italian National Institute of Statistics (ISTAT), in accordance with the procedures suggested by OECD and EUROSTAT, which guarantee that data are not affected by the typical inconsistencies of the National Business Registers and hence provide the true information about firm entries and exits. The size of this dataset and the high number of regional random effects, however, makes the standard estimation techniques of the multilevel logistic model computationally unfeasible. The estimation is then performed by means of the cross-entropy method for noisy optimization suggested by [2]
Is Structural Equation Modelling Able to Predict Well-being? / È possibile stimare il livello di benessere per mezzo di modelli ad equazioni strutturali?
No full textThe well-being (WB) measurement is an important and challenging task. Quality of life is a multifaceted topic, thus its measure cannot rely anymore on one or few indicators only. Data from large-scale survey projects, such as the European Social Survey (ESS), are a solid basis for testing new methods aimed at measuring the phenomenon. We apply Structural Equation Modelling (SEM) to ESS wave 8 data. Our research aims at evaluating if SEM is a reliable method for estimating the WB and the relative importance of its dimensions in some European countries
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