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Missing Data in an Autoregressive Model

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  • Sargan, J D
  • Drettakis, E G

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  • Sargan, J D & Drettakis, E G, 1974. "Missing Data in an Autoregressive Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(1), pages 39-58, February.
  • Handle: RePEc:ier:iecrev:v:15:y:1974:i:1:p:39-58
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    Citations

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    Cited by:

    1. Qian, Hang, 2012. "Essays on statistical inference with imperfectly observed data," ISU General Staff Papers 201201010800003618, Iowa State University, Department of Economics.
    2. Proietti, Tommaso, 2008. "Missing data in time series: A note on the equivalence of the dummy variable and the skipping approaches," Statistics & Probability Letters, Elsevier, vol. 78(3), pages 257-264, February.
    3. Manuel Lobato Osario, 2004. "Insider Trading At The Mexican Stock Exchange: Evidence From Data Augmentation," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 3(2), pages 169-222, Junio 200.
    4. Peter M Robinson, 2009. "Correlation Testing in Time Series, SpatialandCross-Sectional Data," STICERD - Econometrics Paper Series 530, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    5. Robinson, P.M., 2008. "Correlation testing in time series, spatial and cross-sectional data," Journal of Econometrics, Elsevier, vol. 147(1), pages 5-16, November.
    6. Dikaios Tserkezos & Konstantinos Tsagarakis, 2008. "A Note on Missing Data Effects on the Hausman (1978) Simultaneity Test: Some Monte Carlo Results," Working Papers 0821, University of Crete, Department of Economics.
    7. Robinson, Peter, 2008. "Correlation testing in time series, spatial and cross-sectional data," LSE Research Online Documents on Economics 25470, London School of Economics and Political Science, LSE Library.
    8. Palm, Franz C & Nijman, Theo E, 1984. "Missing Observations in the Dynamic Regression Model," Econometrica, Econometric Society, vol. 52(6), pages 1415-1435, November.
    9. Gomez, Victor & Maravall, Agustin & Pena, Daniel, 1998. "Missing observations in ARIMA models: Skipping approach versus additive outlier approach," Journal of Econometrics, Elsevier, vol. 88(2), pages 341-363, November.
    10. Harvey, A. C. & Pereira, Pedro Luiz Valls, 1985. "The estimation of dynamic models with missing observations," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 5(2), November.
    11. Peter Robinson, 2007. "Correlation testing in time series, spatial and cross-sectional data," CeMMAP working papers CWP01/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    12. Dikaios Tserkezos, 1998. "GNP quarterly disaggregation of selected OECD countries using a related time series approach," Applied Economics Letters, Taylor & Francis Journals, vol. 5(11), pages 733-736.
    13. Stoica, Petre & Xu, Luzhou & Li, Jian, 2005. "A new type of parameter estimation algorithm for missing data problems," Statistics & Probability Letters, Elsevier, vol. 75(3), pages 219-229, December.
    14. van der Loeff, S. Schim & Leclercq, L., 1975. "A Note On Goldberger'S Best Linear Unbiased Predictor In The Generalized Regression Model," Econometric Institute Archives 272070, Erasmus University Rotterdam.
    15. David F. Hendry & Peter C.B. Phillips, 2017. "John Denis Sargan at the London School of Economics," Cowles Foundation Discussion Papers 2082, Cowles Foundation for Research in Economics, Yale University.
    16. Hall, Anthony David & Pagan, Adrian Rodney, 1981. "The LIML and Related Estimators of an Equation with Moving Average Disturbances," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 22(3), pages 719-730, October.

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