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Identification and estimation of statistical functionals using incomplete data

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  • Horowitz, Joel L.
  • Manski, Charles F.

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  • Horowitz, Joel L. & Manski, Charles F., 2006. "Identification and estimation of statistical functionals using incomplete data," Journal of Econometrics, Elsevier, vol. 132(2), pages 445-459, June.
  • Handle: RePEc:eee:econom:v:132:y:2006:i:2:p:445-459
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    References listed on IDEAS

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    1. Charles F. Manski & John D. Straub, 2000. "Worker Perceptions of Job Insecurity in the Mid-1990s: Evidence from the Survey of Economic Expectations," Journal of Human Resources, University of Wisconsin Press, pages 447-479.
    2. Charles F. Manski & Elie Tamer, 2002. "Inference on Regressions with Interval Data on a Regressor or Outcome," Econometrica, Econometric Society, vol. 70(2), pages 519-546, March.
    3. Donald W. K. Andrews, 2000. "Inconsistency of the Bootstrap when a Parameter Is on the Boundary of the Parameter Space," Econometrica, Econometric Society, vol. 68(2), pages 399-406, March.
    4. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, January.
    5. Horowitz, Joel L. & Manski, Charles F., 1998. "Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations," Journal of Econometrics, Elsevier, vol. 84(1), pages 37-58, May.
    6. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
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    Citations

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    Cited by:

    1. Patrick Kline & Andres Santos, 2013. "Sensitivity to missing data assumptions: Theory and an evaluation of the U.S. wage structure," Quantitative Economics, Econometric Society, vol. 4(2), pages 231-267, July.
    2. Pudney, Stephen, 2009. "Participation in disability benefit programmes: a partial identification analysis of the British Attendance Allowance system," ISER Working Paper Series 2009-19, Institute for Social and Economic Research.
    3. Tatiana V. Komarova & Denis Nekipelov & Evgeny Yakovlev, 2011. "Identification, data combination and the risk of disclosure," CeMMAP working papers CWP38/11, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. Liu, Yu-Hsin, 2011. "Incorporating scatter search and threshold accepting in finding maximum likelihood estimates for the multinomial probit model," European Journal of Operational Research, Elsevier, vol. 211(1), pages 130-138, May.
    5. Conniffe, Denis & O'Neill, Donal, 2009. "Efficient Probit Estimation with Partially Missing Covariates," IZA Discussion Papers 4081, Institute for the Study of Labor (IZA).
    6. Gneiting, Tilmann, 2011. "Making and Evaluating Point Forecasts," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 746-762.
    7. Cunguara, Benedito & Darnhofer, Ika, 2011. "Assessing the impact of improved agricultural technologies on household income in rural Mozambique," Food Policy, Elsevier, vol. 36(3), pages 378-390, June.
    8. Denis Conniffe & Donal O’Neill, 2008. "An Efficient Estimator for Dealing with Missing Data on Explanatory Variables in a Probit Choice Model," Economics, Finance and Accounting Department Working Paper Series n1960908.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
    9. Juan Carlos Escanciano & Lin Zhu, 2013. "Set inferences and sensitivity analysis in semiparametric conditionally identified models," CeMMAP working papers CWP55/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Esteban-Bravo, Mercedes & Vidal-Sanz, Jose M., 2007. "Worst-case estimation for econometric models with unobservable components," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3330-3354, April.
    11. Minna Genbäck & Elena Stanghellini & Xavier Luna, 2015. "Uncertainty intervals for regression parameters with non-ignorable missingness in the outcome," Statistical Papers, Springer, vol. 56(3), pages 829-847, August.

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