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Implementing Rubin's Alternative Multiple Imputation Method for Statistical Matching in Stata

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Abstract

This paper introduces two new commands, smpred and smmatch, that implement the statistical matching procedure proposed by Rubin (1986). The purpose of statistical matching in Rubin's procedure is to generate a single dataset from various datasets, where each dataset contains a specific variable of interest and all contain some variables in common. For two variables of interest that are not observed jointly for any unit, smpred generates the predicted values of each as a function of the other variable of interest and a set of control variables by assuming a partial correlation value (defined by the user) between the two variables of interest (while current programs assume that they are conditionally independent given the control variables). The smmatch command, on the other hand, matches observations of different datasets according to their predicted values (using a minimum distance criterion) conditional on a set of control variables, and it imputes the observed value of the match for the missing

Suggested Citation

  • Anil Alpman, 2015. "Implementing Rubin's Alternative Multiple Imputation Method for Statistical Matching in Stata," Documents de travail du Centre d'Economie de la Sorbonne 15008, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  • Handle: RePEc:mse:cesdoc:15008
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    1. Rubin, Donald B, 1986. "Statistical Matching Using File Concatenation with Adjusted Weights and Multiple Imputations," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 87-94, January.
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    Cited by:

    1. François Gardes, 2021. "On the value of time and human life," Documents de travail du Centre d'Economie de la Sorbonne 21023, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    2. Okay Gunes, 2017. "Analysis of Households' Decision Using Full Demand Elasticity Estimates: an Estimation on Turkish Data," Post-Print halshs-01491970, HAL.
    3. François Gardes, 2021. "Endogenous Prices in a Riemannian Geometry Framework," Post-Print halshs-03325414, HAL.
    4. François Gardes, 2021. "A Solution to the Estimation of an Enlarged GDP Including Domestic Production: An Estimation on Micro Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03325362, HAL.
    5. François Gardes, 2021. "A Solution to the Estimation of an Enlarged GDP Including Domestic Production: An Estimation on Micro Data," Post-Print halshs-03325362, HAL.
    6. François Gardes, 2018. "On the value of time and human life," Post-Print halshs-01903596, HAL.
    7. François Gardes, 2021. "A Solution to the estimation of an Enlarged GDP Including Domestic Production: An Estimation on Micro Data," Documents de travail du Centre d'Economie de la Sorbonne 21024, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    8. François Gardes, 2021. "An Austrian Trade Cycle model with an Endogenous Value of Time," Post-Print halshs-03325379, HAL.
    9. François Gardes, 2021. "On the value of time and human life," Post-Print halshs-03325332, HAL.
    10. Armagan Tuna Aktuna-Gunes & Okay Gunes, 2017. "Measuring the Relative Domestic Production Scarcity of Time Spent in Domestic Activities for Turkey," Documents de travail du Centre d'Economie de la Sorbonne 17018, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    11. François Gardes, 2021. "An Austrian Trade Cycle model with an Endogenous Value of Time," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03325379, HAL.
    12. Anil Alpman & François Gardes, 2016. "Welfare Analysis of the Allocation of Time During the Great Recession," Post-Print halshs-01159507, HAL.
    13. François Gardes, 2021. "Endogenous Prices in a Riemannian Geometry Framework," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03325414, HAL.
    14. Armagan Tuna Aktuna-Gunes & Okay Gunes, 2017. "Measuring the Relative Domestic Production Scarcity of Time Spent in Domestic Activities for Turkey," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01491982, HAL.
    15. François Gardes, 2021. "An Austrian Trade Cycle model with an Endogenous Value of Time," Documents de travail du Centre d'Economie de la Sorbonne 21025, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    16. François Gardes, 2018. "On the value of time and human life," Documents de travail du Centre d'Economie de la Sorbonne 18028, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    17. Anil Alpman & François Gardes, 2016. "Welfare Analysis of the Allocation of Time During the Great Recession," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01159507, HAL.
    18. Okay Gunes, 2017. "Analysis of Households' Decision Using Full Demand Elasticity Estimates: an Estimation on Turkish Data," Documents de travail du Centre d'Economie de la Sorbonne 17017, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    19. François Gardes, 2021. "Endogenous Prices in a Riemannian Geometry Framework," Documents de travail du Centre d'Economie de la Sorbonne 21026, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    20. François Gardes, 2021. "On the value of time and human life," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03325332, HAL.
    21. François Gardes, 2018. "On the value of time and human life," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01903596, HAL.
    22. Okay Gunes, 2017. "Analysis of Households' Decision Using Full Demand Elasticity Estimates: an Estimation on Turkish Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01491970, HAL.
    23. Anil Alpman & François Gardes, 2015. "Welfare Analysis of the Allocation of Time During the Great Recession," Documents de travail du Centre d'Economie de la Sorbonne 15012, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Mar 2016.

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    More about this item

    Keywords

    Data combination; missing data; multiple imputation; statistical matching; smmatch; smpred;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C39 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Other
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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