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Le attività finanziarie delle famiglie italiane

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... 22 Con il termine under-reporting si fa riferimento alla tendenza degli intervistati a dichiarare importi inferiori a quelli veri soprattutto per quanto riguarda il reddito e la ricchezza. Per l'Italia, stime sull'entità delle dichiarazioni infedeli con riferimento alle attività reali, finanziarie e ai redditi si trovano nei seguenti lavori: Cannari e D' Alessio (1990Alessio ( , 1993; Cannari e Violi (1995); Cannari, D'Alessio, Raimondi e Rinaldi (1990). 23 Altri errori che possono determinare una discrepanza tra dati rilevati e dati effettivi sono riconducibili all'effetto memoria (ossia gli intervistati non ricordano) oppure sono dovuti al fatto che l'intervistato non dichiara il possesso di particolari fonti di reddito (no reporting). ...
... The authors proposed a method for correcting the survey estimate of the number of dwellings according to owners' reports, namely imputing additional homes to the sample households on the basis of estimated probabilities of owning a second residential property. 8 Cannari, D'Alessio, Raimondi and Rinaldi (1990) performed a statistical matching of the financial assets declared by SHIW respondents with data provided by a sample of commercial bank clients from a survey carried out by the bank. Assuming that there was no under-reporting in the latter, the authors used statistical models to estimate both the probability of holding the various types of asset and the true amounts that the various types of household should hold. ...
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The Bank of Italy’s Survey of Household Income and Wealth (SHIW) is widely used to study the economic behavior of Italian households. Like most similar surveys, the SHIW is biased downward in its estimates by the lesser propensity of wealthy families to participate and by the tendency to underreport income and wealth. This work assesses the various techniques for correct the bias, applying them to the period 1995-2012. Calibration techniques, which produce estimates consistent with the macro-economic information available from other sources, are also employed.
... quelli che avevano inizialmente rifiutato l'intervista). Nel presente lavoro, per ottenere stime corrette delle attività finanziare delle famiglie, i pesi originari per il riporto all'universo sono stati dapprima aggiustati per le probabilità di non partecipazione all'indagine (ottenute applicando 29 il modello di D'Alessio e Faiella) e successivamente riallineati alle caratteristiche note della popolazione.Per sanare le conseguenze indesiderate dell'under-reporting, le attività finanziarie sono state corrette, con riferimento sia alla composizione del portafoglio sia alle consistenze di ciascuno strumento detenuto, utilizzando la procedura diCannari, D'Alessio, Raimondi e Rinaldi (1990), rivista poi inCannari e D'Alessio (1993). Il metodo è basato sull'integrazione dei dati dell'IBF con quelli rilevati da un'apposita indagine condotta nel stata stimata per ciascuna tipologia familiare la probabilità di possedere uno specifico strumento finanziario; tali probabilità sono state quindi fittiziamente imputate alle famiglie rilevate dall'IBF. ...
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The Survey on Household Income and Wealth, conducted every two years by the Bank of Italy, and the Italian Financial Accounts, published quarterly, provide information on the wealth of Italian households which are independent and, for the time being, not directly comparable. In this paper we perform a detailed comparison of the estimates of the households' various financial assets and liabilities coming from the two sources, identifying the causes responsible for the observed discrepancies. In general, the outstanding amounts reported in the Financial Accounts are significally larger than those arising from the Survey. Reconciling the data in terms of classification criteria and of valuation methods reduces the differences only to a small extent. Once the variability due to sampling and measurement errors is taken into account, the discrepancies are mainly caused by under-reporting on the survey results; the bias from non-response is less important. As a by-product of the analysis, suggestions for some methodological improvements to both the Survey and the Financial Accounts do also arise, possilby from the joint use of the two sources.
... 28 Si tratta di una base dati utilizzata in numerosi lavori sulle scelte di portafoglio delle famiglie (in particolare, fra quelli indicati nel precedente paragrafo, Guiso, Jappelli e Terlizzese 1996 e Guiso e Jappelli 2002 e 2004). 29 Tra i molti lavori che affrontano tale questione si ricordanoBiancotti et al. (2004) ,Brandolini et al. (2004),Cannari et al. (1990), Cannari e D'Alessio (1993), D'Alessio e Faiella(2002), Faiella e Neri(2004),Bonci et al., (2005). ...
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Il lavoro descrive l’evoluzione dell’indagine sui bilanci delle famiglie dalla sua origine nei primi anni sessanta fino ad oggi, illustrando in che modo le innovazioni che si sono susseguite nel corso del tempo hanno consentito di migliorare la qualità dei dati raccolti e ampliare le possibilità di analisi. Il lavoro esamina inoltre estesamente in che modo i dati dell’indagine si rapportano a quelli desumibili da altre fonti (conti nazionali, dati fiscali, censimenti, altre indagini campionarie e così via), riassumendo i principali risultati dei numerosi lavori svolti su questo aspetto. Nelle conclusioni si rammentano le principali linee evolutive dell’indagine, che mettono in evidenza la necessità di perseguire una sempre maggiore integrazione dell’indagine con altre rilevazioni sul piano internazionale, con altre fonti campionarie e amministrative nel nostro Paese e con le statistiche aggregate.
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This paper provides a reconstruction of the joint distribution of Italian households’ income and wealth in the years ranging from 1968 to 1975. Exploiting the information available in some historical reports recently published by the Bank of Italy, the paper reconstructs synthetic microdata compatible with the aggregate results of sample surveys carried out in those years. In this way, inequality and poverty can be estimated by using the same statistical criteria that are used today, making an intertemporal comparison of the estimates possible. The concentration of household wealth shows a downward trend in the 1970s and ’80s, an increase in the years following the 1992-93 crisis and relative stability in the new century. In the period 1968-75 the concentration of wealth turns out to be greater than in recent years. The estimates of relative poverty show a decreasing trend until the 1990s and a subsequent increase; the upward trend of these indicators in recent years is steeper than that of the concentration indices. Migration flows have contributed significantly to the recent growth in the poverty indices.
Chapter
Non-sampling errors are a serious problem in household surveys. This paper exploits the Bank of Italy’s Survey on Household Income and Wealth to show how these issues can be studied and how the main effects on estimates can be accounted for. The topics examined are unit non-response, uncorrelated measurement errors and some specific cases of underreporting. The unit non-response can be overcome by weighting valid cases using external (typically demographic and geographical) information or by modelling the respondents’ propensities to participate in the survey. The effect of the uncorrelated measurement errors can be evaluated using specific reliability indices constructed with the information collected over the panel component. The underreporting bias of income and wealth is estimated by combining statistical matching techniques with auxiliary information and by exploiting different response behaviours across different groups.
Chapter
Non-sampling errors are a serious problem in household surveys. This paper exploits the Bank of Italy’s Survey on Household Income and Wealth to show how these issues can be studied and how the main effects on estimates can be accounted for. The topics examined are unit non-response, uncorrelated measurement errors and some specific cases of underreporting. The unit non-response can be overcome by weighting valid cases using external (typically demographic and geographical) information or by modelling the respondents’ propensities to participate in the survey. The effect of the uncorrelated measurement errors can be evaluated using specific reliability indices constructed with the information collected over the panel component. The underreporting bias of income and wealth is estimated by combining statistical matching techniques with auxiliary information and by exploiting different response behaviours across different groups.
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