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The Spanish survey of household finances (EFF): Description and methods of the 2014 wave

Author

Listed:
  • Olympia Bover

    (DG Economics, Statistics and Research, Banco de España)

  • Laura Crespo

    (DG Economics, Statistics and Research, Banco de España)

  • Carlos Gento

    (DG Economics, Statistics and Research, Banco de España)

  • Ismael Moreno

    (DG Economics, Statistics and Research, Banco de España)

Abstract

The Spanish Survey of Household Finances 2014 (EFF2014) provides detailed information on the income, assets, debt and spending of Spanish households referring to end-2014. Together with the previous waves of 2002, 2005, 2008 and 2011, the EFF2014 enables the analysis of two complete phases of the economic cycle, which have had a strong impact on the fi nancial position of Spanish households. This paper provides a detailed description of the most relevant methodological aspects in the design and implementation of this fi fth edition: the sample design, the questionnaire, the data collection process, the validation of the data, the computation of weights and the imputation procedures. Important characteristics also present in this wave are the oversampling of wealthy households and the panel component of the sample.

Suggested Citation

  • Olympia Bover & Laura Crespo & Carlos Gento & Ismael Moreno, 2018. "The Spanish survey of household finances (EFF): Description and methods of the 2014 wave," Occasional Papers 1804, Banco de España.
    • Handle: RePEc:bde:opaper:1804
    as

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    Citations

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    Cited by:

    1. Pedro Salas-Rojo & Juan Gabriel Rodríguez, 2021. "The distribution of wealth in Spain and the USA: the role of socioeconomic factors," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(3), pages 389-421, September.
    2. Zagalaz Jiménez, José Ramón & Aguiar Díaz, Inmaculada, 2019. "Educational level and Internet banking," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 31-40.
    3. Sandra Ferrando-Latorre & Jorge Velilla & Raquel Ortega, 2019. "Intergenerational Transmission of Entrepreneurial Activity in Spanish Families," Journal of Family and Economic Issues, Springer, vol. 40(3), pages 390-407, September.
    4. Fructuoso Borrallo & Susana Párraga-Rodríguez & Javier J. Pérez, 2021. "Los retos de la fiscalidad ante el envejecimiento: evidencia comparada de la Unión Europea, Estados Unidos y Japón," Occasional Papers 2102, Banco de España.
    5. Manuel Arellano & Stéphane Bonhomme & Micole De Vera & Laura Hospido & Siqi Wei, 2022. "Income risk inequality: Evidence from Spanish administrative records," Quantitative Economics, Econometric Society, vol. 13(4), pages 1747-1801, November.
    6. Ana de Almeida & Teresa Sastre & Duncan van Limbergen & Marco Hoeberichts, 2019. "A tentative exploration of the effects of Brexit on foreign direct investment vis-à-vis the United Kingdom," Occasional Papers 1913, Banco de España.
    7. Esteban García-Miralles & Nezih Guner & Roberto Ramos, 2019. "The Spanish personal income tax: facts and parametric estimates," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(3), pages 439-477, November.
    8. Carlos Conesa, 2019. "Bitcoin: A solution for payment systems or a solution in search of a problem?," Occasional Papers 1901, Banco de España.
    9. Susana Párraga Rodríguez, 2019. "The effects of pension-related policies on household spending," Working Papers 1913, Banco de España.
    10. Eduardo Gutiérrez Chacón & César Martín Machuca, 2019. "Exporting Spanish firms. Stylized facts and trends," Occasional Papers 1903, Banco de España.
    11. Enrique Moral-Benito, 2018. "The microeconomic origins of the Spanish boom," Occasional Papers 1805, Banco de España.

    More about this item

    Keywords

    wealth survey; oversampling of the rich; panel; refreshment sample; data collection; imputation; weights;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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