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Metodi di campionamento spaziale per la selezione di campioni rappresentativi di imprese

Author

Listed:
  • Maria Michela Dickson
  • Giuseppe Espa
  • Diego Giuliani
  • Emanuele Taufer

Abstract

La maggior parte degli studi campionari sulle imprese si fondano sulla selezione di campioni quanto pi? possibile rappresentativi della popolazione oggetto di indagine. Tale popolazione pu?, per esempio, essere costituita dalle imprese di un certo settore di attivit? economica o dagli impianti produttivi (unit? locali) che insistono in una determinata regione del paese di interesse per l?analisi. La prassi standard in quest?ambito ? quella di affidarsi a disegni campionari stratificati, scelta dovuta sia alla grande adattabilit? e velocit? computazionale di questo metodo, sia al-l?alto livello di rappresentativit? che esso garantisce. In alcune circostanze, per?, la stratificazione della popolazione risulta difficoltosa, soprattutto in presenza di un alto numero di strati o, al limite, di strati vuoti. In questi casi, un?alternativa al campionamento stratificato pu? essere l?utilizzo delle recenti metodologie di campionamento spaziale. Mediante uno studio simulato condotto a partire da dati reali, in questo lavoro verr? valutata l?efficienza delle metodologie di campionamento spaziale per la conduzione di indagini su imprese e si discuter? dell?alta rappresentativit? dei campioni cos? selezionati e delle condizioni che tale rappresentativit? garantiscono.

Suggested Citation

  • Maria Michela Dickson & Giuseppe Espa & Diego Giuliani & Emanuele Taufer, 2016. "Metodi di campionamento spaziale per la selezione di campioni rappresentativi di imprese," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2016(3), pages 89-99.
    • Handle: RePEc:fan:restre:v:html10.3280/rest2016-003006
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    References listed on IDEAS

    as
    1. Lennart Bondesson & Daniel Thorburn, 2008. "A List Sequential Sampling Method Suitable for Real‐Time Sampling," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(3), pages 466-483, September.
    2. Stevens, Don L. & Olsen, Anthony R., 2004. "Spatially Balanced Sampling of Natural Resources," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 262-278, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Rappresentativit?; dati d?impresa; disegni campionari spaziali; metodi di stima; campionamento stratificato;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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