1,721,021 research outputs found
Tempi di conseguimento del titolo nell'Università degli Studi di Firenze: applicazione di un modello lineare gerarchico ai laureati nell'anno solare 2000
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Asset ownership of the elderly across Europe: A multilevel latent class analysis to segment country and households
No full textWealth is a particularly useful measure of the socio-economic status of the elderly, because it might reflect both accumulated socio-economic position and potential for current consumption. A growing number of papers have studied household portfolio in old age, both from a financial point of view (i.e. in the framework
of the life-cycle model) and from a marketing perspective. In this paper, we aim at providing new evidence on this issue both at the household and country level, by investigating similarities and differences in the ownership patterns of several financial and real assets among elderly in Europe. To do so, we exploit the richness of information provided by SHARE (Survey of Health, Ageing and Retirement in Europe), an international survey on ageing that collects detailed information on several aspects of the socioeconomic condition of the European elderly. Given the hierarchical structure of the data and the aims of this work, the econometric solution we adopt is a multilevel latent class analysis, which allows to obtain simultaneously country and household segments
Metodi diagnostici per la valutazione e la misurazione dell'effetto tecnica (§4.1, §4.3.2); Analisi dell'effetto tecnica in due casi di studio (§6.1, §6.2.6, §6.2.7)
No full textL’obiettivo principale di un’indagine statistica è ottenere stime accurate dei parametri
di interesse. Nelle indagini multi-tecnica le stime sono il risultato della combinazione di dati
raccolti con differenti strumenti di rilevazione. In questi casi, l’accuratezza del processo
inferenziale è assicurata, oltre che da altri numerosi fattori - copertura, mancata risposta
totale, stimatore - soltanto se la misurazione effettuata con più tecniche è equivalente,
ovvero se non è violata l’assunzione di invarianza della misurazione delle tecniche (Hox et
al., 2015)
Multi-source statistics on employment status in Italy, a machine learning approach
No full textIn recent decades, National Statistical Institutes have started to produce official statistics by exploiting multiple sources of information (multi-source statistics) rather than a single source, usually a statistical survey. In this context, one of the research projects addressed by the Italian National Statistical Institute (Istat) concerned methods for producing estimates on employment in Italy using survey data and administrative sources. The former are drawn from the Labour Force survey conducted by Istat, the latter from several administrative sources that Istat regularly acquires from external bodies. We use machine learning methods to predict the individual employment status. This approach is based on the application of decision tree and random forest techniques, that are frequently used to classify large amounts of data. We show how to construct a “new” response variable denoting agreement of the data sources: this approach is shown to maximise the information we may derive by machine learning approach in some problematic cases. The methods have been applied using the R software
Do actual choices correspond to orginal future plans? The case of high school students in Italy
No full textDo actual choices correspond to original future plans? The case of high school students in Italy
No full textPredictive Mean Matching with Latent Variables, an application to the Business Census Survey
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