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Displaying results 1 to 4 of 4.

  1. Comparing small area techniques for estimating poverty measures
    Author: Crescenzi, Federico; Betti, Gianni; Gagliardi, Francesca
    Published: [2015]
    Publisher:  Università di Siena, [Siena]

    Location:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Quaderni del Dipartimento di economia politica e statistica ; n. 721 (dicembre 2015)
    Subjects: small area estimation; poverty; inequality; SILC
    Scope: 1 Online-Ressource (circa 26 Seiten), Illustrationen
  2. Combining survey and geospatial data can significantly improve gender-disaggregated estimates of labor market outcomes
    Author: Merfeld, Joshua D.; Newhouse, David Locke; Weber, Michael; Lahiri, Partha
    Published: June 2022
    Publisher:  IZA - Institute of Labor Economics, Bonn, Germany

    Better understanding the geography of women's labor market outcomes within countries is important to inform targeted efforts to increase women's economic empowerment. This paper assesses the extent to which a method that combines simulated survey... more

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Better understanding the geography of women's labor market outcomes within countries is important to inform targeted efforts to increase women's economic empowerment. This paper assesses the extent to which a method that combines simulated survey data from urban areas in Mexico with broadly available geospatial indicators from Google Earth Engine and OpenStreetMap can significantly improve estimates of labor force participation and unemployment rates. Incorporating geospatial information substantially increases the accuracy of male and female labor force participation and unemployment rates at the state level, reducing mean absolute deviation by 50 to 62 percent for labor force participation and 25 to 52 percent for unemployment. Small area estimation using a nested error conditional random effect model also greatly improves municipal estimates of labor force participation, as the mean absolute error falls by approximately half, while the mean squared error falls by almost 75 percent when holding coverage rates constant. In contrast, the results for municipal unemployment rate estimates are not reliable because values of unemployment rates are low and therefore poorly suited for linear models. The municipal results hold in repeated simulations of alternative samples. Models utilizing Basic Geo-Statistical Area (AGEB)-level auxiliary information generate more accurate predictions than area-level models specified using the same auxiliary data. Overall, integrating survey data and publicly available geospatial indicators is feasible and can greatly improve state-level estimates of male and female labor force participation and unemployment rates, as well as municipal estimates of male and female labor force participation.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/263606
    Series: Discussion paper series / IZA ; no. 15390
    Subjects: small area estimation; data integration; geospatial data; labor force participation; unemployment; Mexico
    Scope: 1 Online-Ressource (circa 49 Seiten), Illustrationen
  3. Flexible empirical Bayes estimation of local fertility schedules
    reducing small area problems and reserving regional variation
    Author: Leknes, Stefan; Løkken, Sturla Andreas
    Published: April 2021
    Publisher:  Statistics Norway, Research Department, Oslo

    Reliable local demographic schedules are in high demand, but small area problems pose a challenge to estimation. The literature has directed little attention to the opportunities created by increased availability of high-quality geo-coded data. We... more

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    Reliable local demographic schedules are in high demand, but small area problems pose a challenge to estimation. The literature has directed little attention to the opportunities created by increased availability of high-quality geo-coded data. We propose the use of empirical Bayes methods based on a model with three hierarchical geographic levels to predict small area fertility schedules. The proposed model has a flexible specification with respect to age, which allows for detailed age heterogeneity in local fertility patterns. The model limits sampling variability in small areas, captures regional variations effectively, is robust to certain types of model misspecification, and outperforms alternative models in terms of prediction accuracy. The beneficial properties of the model are demonstrated through simulations and estimations on full-count Norwegian population data.

     
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/249143
    Series: Discussion papers / Statistics Norway, Research Department ; no. 953
    Subjects: small area estimation; hierarchical linear models; empirical Bayes method; shrinkage; age-specific fertility
    Scope: 1 Online-Ressource (circa 36 Seiten), Illustrationen
  4. Estimating monthly indicators for consumer confidence using structural time series models
    Author: Brakel, Jan A. van den; Krieg, Sabine; Smeets, Marc
    Published: October 2021
    Publisher:  Statistics Netherlands, The Hague

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Discussion paper / Statistics Netherlands
    Subjects: Official statistics; survey redesign; discontinuities; back casting; small area estimation
    Scope: 1 Online-Ressource (circa 42 Seiten), Illustrationen