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Producing small area estimation using R in the Romanian official statistics

Author

Listed:
  • Ana Maria DOBRE

    (National Institute of Statistics&Institute of National Economy, Romanian Academy)

  • Nicoleta CARAGEA

    (National Institute of Statistics&Ecological University from Bucharest, Faculty of Economics)

Abstract

The purpose of this paper is to reveal the opportunities found in the Romanian official statistics to develop a long-way but strong implementation of the Small Area Estimation techniques, together with the use of R statistical software. The Small Area Estimation technique, a model-based approach to produce regional or even locality level data, has been already succesfully applied on the estimation of the international migration, which is often hard to estimate. In these circumstances, the official statistics in Romania face new challenges in data analysis tools. In the last two years, a small team of statisticians introduced R both in the official statistics and academia, as an opportunity for progress. The paper contains an overview of the small area techniques applied to the estimation of international migration and covers other possible applications of small area estimation methods, presenting the challenges currently considered in the official statistics

Suggested Citation

  • Ana Maria DOBRE & Nicoleta CARAGEA, 2015. "Producing small area estimation using R in the Romanian official statistics," Romanian Journal of Economics, Institute of National Economy, vol. 40(1(49)), pages 115-125, june.
    • Handle: RePEc:ine:journl:v:40:y:2015:i:49:p:115-125
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    References listed on IDEAS

    as
    1. Voineagu, Vergil & Caragea, Nicoleta & Pisica, Silvia, 2013. "Estimating International Migration on the Base of Small Area Techniques," MPRA Paper 48775, University Library of Munich, Germany.
    2. Caragea, Nicoleta & Alexandru, Ciprian Antoniade & Dobre, Ana Maria, 2012. "Bringing New Opportunities to Develop Statistical Software and Data Analysis Tools in Romania," MPRA Paper 48772, University Library of Munich, Germany.
    3. Dobre Ana Maria & Caragea Nicoleta & Alexandru Ciprian Antoniade, 2013. "R versus Other Statistical Software," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 484-488, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Small Area Estimation; Labour Force Survey; R Software; Official Statistics; International Migration;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration

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