1,720,969 research outputs found
Coerenza ed ottimalità delle stime calibrate su informazioni da indagini campionarie
Full text linkIl lavoro affronta il problema della coerenza esterna e dell'ottimalità nel caso in cui si vogliono introdurre nel processo di stima delle informazioni di cui si conoscono i totali di controllo da altre indagini campionarie e, quindi, questi sono affetti da errori campionari. Le espressioni di stimatori che soddisfano queste proprietà sono presentate e le loro performance sono studiate attraverso uno studio di simulazione e l'applicazione a casi reali
Bonferroni index decomposition and the Shapley method
No full textThe Shapley decomposition enables to overcome the problem related to Bonferroni inequality index of not being additively decomposable. The comparison among the results obtained for Gini and Bonferrini indices allows to highlight interersting similarities and differences among the two indioce
Satellite Imagery for Studying Development? The Italian case study
No full textThe Human Development Index (HDI) is a well-known measure of development published since the 90s by the United Nation. Among the criticisms of HDI, there are undeniable problems in data collection that can frustrate comparisons between countries. In fact, for some countries old data only are available and few others have not even that. Elvidge et al. (2012) proposed the Night Light Development Index (NLDI), that can be computed solely from nighttime satellite imagery and population density, therefore without
monetary data and with ease in data collection. The NLDI, that is a inequality measure of light distribution among inhabitants, has a strong correlation with the HDI at country level.
In this paper we show that NLDI can produce the same values for very different development levels. Therefore, a simple correction (NLDI*) for overcoming this drawback is introduced. The original NLDI and our correction have been computed for the Italian case study, that is, the whole territory, the geographical areas (NUTS-1), regions (NUTS-2)
and few provinces (NUTS-3) have been derived. The values obtained have been compared with those of others indexes to better understand the meaning of NLDI* in a particular
context like the Italian one
A sampling estimator of the Bonferroni inequality index
No full textA sampling estimator of the Bonferroni inequality index based on the Bonferroni curve, is presented. It is compared through a simulation study with the percentile estimator and the estimator that uses weighted observations
Is Italy a melting pot?
No full textThe immigrants integration process in Italy is investigated through the analysis of Gini (ANOGI). This methodology has an advantage with respect to the analysis of variance (ANOVA) because it provides a further element: the overlapping index, split in overlapping between and within the groups. This enables us to better understand and examine the immigrants integration looking at the stratification of the subpopulation of Italians and immigrants. The ANOGI is compared to the ANOVA and, then, the two methods are applied to Italian Labour Force Survey data of 2007 and 2012
On the estimation of the concentration curve under complex sampling designs
No full textThis paper focuses on the estimation of the concentration curve of a finite population, when data are collected according to a complex sampling design with different inclusion probabilities. The asymptotic law of the finite population version of the concentration process is first studied. Then, a resampling scheme able to approximate such a law is constructed. Finally, an application to the construction of confidence bands is considered
The accuracy of longitudinal Labour Force Survey estimates
No full textBesides cross-sectional data, the Italian Labour Force Survey products longitudinal data.
Starting from December 2015, the Italian National Institute of Statistics provides 12months
estimates on labour market flows, permanencies and transitions by occupational status
(employment, unemployment, inactivity). In the present paper, the methodology for
computing the confidence intervals for the main indicators disseminated is presente
An empirical assessment of human development through remote sensing: Evidences from Italy
Full text linkThe Human Development Index (HDI) based on life expectancy, education and per-capita income, is one of the most used indicators of human development. However, undeniable problems in data collection limit between-countries comparisons reducing the practical applicability of the HDI in official statistics. Elvidge et al. (2012) proposed an alternative index of human development (the so called Night Light Development Index, NLDI) derived from nighttime satellite imagery and population density, with improved comparability over time and space. The NLDI assesses inequality in the spatial distribution of night light among resident inhabitants and has proven to correlate with the HDI at the country scale. However, the NLDI presents some drawbacks when applied to smaller analysis' spatial domains, since similar NLDI values may indicate very different levels of human development. A modified NLDI overcoming such a drawback is proposed in this study to assess human development at 3 spatial scales (the entire country, 5 geographical divisions and 20 administrative regions) in Italy, a country with relevant territorial disparities in various socioeconomic dimensions. The original and modified NLDI were correlated with 5 independent indicators of economic growth, sustainable development and environmental quality. The spatial distribution of the original and modified NLDI is not coherent with the level of human development in Italy being indeed associated with various indexes of environmental quality. Further investigation is required to identify in which socioeconomic context (and at which spatial scale) the NDLI approach correctly estimates the level of human development in affluent countries
On the estimation of the Lorenz curve under complex sampling designs
No full textThis paper focuses on the estimation of the concentration curve of a finite population, when data are collected according to a complex sampling design with different inclusion probabilities. A (design-based) Hájek type estimator for the Lorenz curve is proposed, and its asymptotic properties are studied. Then, a resampling scheme able to approximate the asymptotic law of the Lorenz curve estimator is constructed. Applications are given to the construction of (i) a confidence band for the Lorenz curve, (ii) confidence intervals for the Gini concentration ratio, and (iii) a test for Lorenz dominance. The merits of the proposed resampling procedure are evaluated through
a simulation study
Sampling Schemes Using Scanner Data for the Consumer Price Index
No full textThe Italian National Institute of Statistics (ISTAT) is carrying out a redesign of Consumer Price Survey (CPS). The availability of Scanner Data (SD) from retail modern distribution, provided to ISTAT by Nielsen for a large number of stores selling food and grocery, is the starting point of this innovation. Indeed, SD represent a big opportunity for improving the computation of Consumer Price Index (CPI). This work aims to study the properties of alternative aggregation formulas of the elementary price index in different sampling schemes implemented on SD. Bias and efficiency of the estimated indices are evaluated through a Monte Carlo simulation
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