1,721,147 research outputs found
L’offerta del settore ICT in Friuli Venezia Giulia e analisi dei fabbisogni . 2, L'occupazione e il fabbisogno di figure professionali ICT nella Regione Friuli Venezia Giulia
Full text linkIn questo volume sono raccolti i risultati delle analisi svolte da AITech- Assinform con l’Università degli studi di Milano Bicocca nell’ambito della ricerca su “L’offerta del settore ICT in Friuli Venezia Giulia e analisi dei fabbisogni”: La ricerca è stata realizzata nel 2006 su commissione
del Polo formativo di istruzione e formazione tecnico superiore ICT–Information Comunication Technology del Friuli Venezia Giuli
The alien character of local economies: micro-entrepreneurship inside the origin-destination matrix
No full textSince the late 1970s, scholars have paid increasingly attention to micro-entrepreneurship in Italy, together with the acknowledgment of industrial districts as a primary theoretic and empirical approach to local industrial development. Industrial districts approach has explained the dependence of micro-entrepreneurship on the industrial atmosphere of a place. However, little attention has been paid on the origin of micro-entrepreneurs, and to what extent they are natives or foreigners, who have migrated in the place and have set up their economic activities. Data collected in ASIA-ISTAT archives overcome such lack of information. The aim of this paper is to investigate the structure of local micro-entrepreneurship in order to analyse (a) the extent of its natives/migrants entrepreneurs composition, and (b) which Italian regions and foreign countries such micro-entrepreneurs come from. The study uses an origin-destination matrix, which connects place of birth of micro-entrepreneurs and the place of localization of their firms. Places are defined on the basis of ISTAT Local Labour Market Areas (LLMAs)
La regione Lazio e l'Europa. Un'analisi comparativa a livello regionale
No full textL’analisi mira a perseguire i seguenti obiettivi:
- quadro generale della finanza regionale in Italia: tendenze e prospettive
- tendenze e prospettive della finanza regionale in Europa.
Il raggiungimento di essi è realizzato attraverso lo sviluppo dei seguenti 4 filoni di indagine:
1. dalla finanza derivata alla riforma del Titolo V della Costituzione. La finanza locale in Italia: i principali avvenimenti dopo il 1992.
2. analisi comparativa dei conti economici regionali in 7 paesi UE: Germania, Francia, Regno Unito, Spagna, Irlanda, Italia.
3. il nuovo ruolo assunto dalle regioni nel contesto europeo dopo il Consiglio di Lisbona.
4. suggerimenti e prospettive per la finanza regionale italiana sulla base delle “migliori prestazioni” europee. Un nuovo ruolo per la regione Lazio
The ISAE manufacturing survey sample : validating the Nace Rev.2 sectorial allocation
Full text linkAfter the full implementation of the new EU Standard Classification of Economic Activities (Nace Rev.2) in
2008, statistical agencies have increasingly dealt with the problem of redefining sampling designs and
estimation techniques, especially in the case of stratified surveys with NACE codes as stratification variables.
In light of this changes, the Italian Institute for Studies and Economic Analysis (Istituto di Studi e Analisi
Economica - ISAE) is currently updating the sample design of its Business Tendency Survey (BTS). The
focus of this paper is on finding a strata allocation methodology suitable to overcome the NACE Rev.2
changes. The analysis is carried out by considering two opposite needs: i) the strata allocation must retain
multiple information; ii) the strata allocation must retain the optimality of the estimates. The allocation
methods considered are: i) the classical Neyman x-optimal allocation, ii) the Neyman allocation used by
ISAE, i.e. with direct application to areal stratification, iii) the multivariate Neyman allocation on qualitative
variance according to Bethel formulation, iv) the Robust Optimal Allocation with Uniform Stratum Threshold
(ROAUST). The ROAUST is a new allocation method which generates a new class of stratified estimators.
Comparison among these methods is carried out via a simulation device - the Sequential Selection-
Allocation (SSA). This simulation device constructs a new population list with units re-labelled within each
stratum, such that the new labels corresponds to the order of selection in a SWOR resampling of the stratum
units. This process is repeated a certain number N (N=1,000 in the simulation presented in this paper) of
times. From this new labelled population, all the allocation algorithms can be evaluated simultaneousl
On computational aspects of simulation methods in the sample allocatioon framework
No full textThe empirical validation of the analytical properties of sampling allocation methods is based on simulation techniques either for the whole population or for domain analysis, or for other fields of statistics. At almost negligible costs, these techniques allow for checking general properties (even asymptotic) of estimators or statistical models. The aim of this paper is to propose a simulation sampling technique – namely a stratified sampling with an ex-post ordered selection - for the detection of the most effective sampling allocation in terms of precision of estimate
Between theoretical and applied approach : which compromise for unit allocation in business surveys?
Full text linkNeyman’s algorithm for the allocation of sample units in business sampling can result unsatisfactory in domain analysis with imperfect frames and sectorial and/or regional data. Improved estimates can be obtained using stratified estimators combined with an optimal unit allocation. We achieve this outcome by an interdisciplinary approach which leads to a methodological improvement. Starting from Martini’s approach which considers an empirical view of the statistical analysis, we propose the Robust Optimal Allocation with Uniform Stratum Threshold (ROAUST) class of stratified estimators and prove their reliability by using a simulation approach inspired by Magagnoli’s work on this issue. In particular, contrary to Neyman’s stratified estimator with optimal allocation and stratum threshold, our class guarantees better domain representativenes
Divide, Allocate et Impera: Comparing Allocation Strategies via Simulation
Full text linkIn stratified sampling, the problem of optimally allocating the sample size is of primary importance, especially when reliable estimates are required both for the overall population and for subdomains. To this purpose, in this paper we compare multiple standard allocation mechanisms. In particular, standard allocation methods are compared with an allocation method that has been recently adopted by the Italian National Statistical Institute: the Robust Optimal Allocation with Uniform Stratum Threshold (ROAUST) method. Standard allocation methods considered in this comparison are: (i) the optimal Neyman allocation, (ii) the multivariate Neyman allocation, (iii) the Costa allocation, (iv) the Bankier allocation, and (v) the Interior Point Non Linear Programming (IPNLP) allocation. Results show that the optimal Neyman allocation method outperforms the ROAUST method at the overall sample level, whereas the latter method performs better at the stratum level. Some results on the Nonlinear Programming method are particularly interesting
Chinese entrepreneurship in context: specialization, localization and their impact on Italian industrial districts
No full textChinese migration flows represent a relatively new phenomenon in Italy. Its entrepreneurial nature is reflected in a massive presence of Chinese businessman employed in manufacturing activities, with a high concentration in industrial districts. The manufacturing microenterprise is a recognized feature of the district model of industrialization. Therefore , the investigation on the presence of manufacturing micro-enterprises run by Chinese migrants in Italy is an issue of particular interest. The aim of the paper is to shed some light on current localization of
Chinese micro-entrepreneurs in Italian industrial districts, and their specialization in ‘personal goods’ (textile, clothing, leather and footwear), one of the main sectors of the district made in Italy. Some measurements of Chinese micro-entrepreneurship in this sector and related business services is carried out to test the hypothesis of their co-localization in industrial districts. Data collected from native-Chinese micro-entrepreneurs represents an innovative contribution of knowledge based on ISTAT-ASIA archives. The exercise of explorative analysis based on data processing at the local labour market area (LLMA) level will finally highlight the model of localization of the Chinese micro-entrepreneurship, and its impact on the Italian industrial districts
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