PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2010 | 11 | nr 2 | 231--252
Tytuł artykułu

Development of Standard Error Estimation Methods in Complex Household Sample Surveys in Poland

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The authors begin with a general description of estimation methods of standard error and confidence interval from complex household sample surveys in Poland. The following estimation methods have been applied in resent years: (i) the interpenetrating sub-samples, (ii) the Taylor series linearization, (iii) the jackknife, (iv) the balanced repeated replication, and (v) the bootstrap methods. A short development of each method is presented and its application in the Polish household sample surveys described. At the end some concluding remarks are given. (original abstract)
Rocznik
Tom
11
Numer
Strony
231--252
Opis fizyczny
Twórcy
autor
  • Warsaw School of Economics, Poland
  • Warsaw School of Economics, Poland
Bibliografia
  • BICKEL, P.J., and FREEDMANN, D A. (1984). Asymptotic normality and the bootstrap in stratified sampling. Ann. Statist., 12, pp. 470-482.
  • BINDER, D.A., KOVACEVIC, M.S., and ROBERTS, G. (2004). Design-based methods for survey data: Alternative uses of estimating functions. Proceedings of the Joint Statistical Meetings, Section on Survey Research Methods. 3301-3312
  • BRICK, M.J., MORGANSTEIN, D., VALLIANT, R. (2000), Analysis of Complex Sample Data Using Replication. WESTAT, 1-10.
  • CHAN, M.T., and LO, S.H. (1985). A bootstrap method for final populations.. Sankhya. A, 47, 399-405.
  • EFRON, B., (1979) Bootstrap methods: another look at the jackknife, Annals of Statistics 7, 1-26
  • EUROSTAT, (2009) Methodological studies and quality assessment of EU-SILC, Report SILC.04 15 April 2009, SAS programs for variance estimation of the measures required for Intermediate Quality Report
  • FAUCHER D., LANGLET E. R., LESAGE E., (2003), An application of the bootstrap variance estimation method to the participation and activity limitation survey, Assemblee annuelle de la SSC, Recueil de la Section des methodes d'enquete.
  • FAY, R.E. (1989). Theory and Application of Replicate Weighting for Variance Calculations. Proceedings of the Section on Survey Research Methods, American Statistical Association, pp. 212-217.
  • GROSS, S. (1980). Median estimation in sample surveys. Proceedings of the Section on Survey Research Methods of the American Statistical Association., pp.181-184.
  • GUPTA, V.K., and NIGAM, A.K. (1987). Mixed arthogonal arrays for variance estimation with unequal numbers of primary selections per stratum. Biometrika, 74, 735-742.
  • GURNEY, M. nad JEWETT, R.S. (1975). Constructing orthogonal replications for standard errors. J. Amer .Statist. Assoc.70, 819-821.
  • GUS (1986), Methods and Organisation of Household Budget Survey. Methodological Publication, No. 62, Warszawa (in Polish)..
  • GUS (2009), Incomes and Living Conditions of the Population in Poland (report from the EU-SILC survey of 2007 and 2008), Statistical Information and Elaborations, Warsaw.
  • GUS (2010a), Household Budget Surveys in 2009, Statistical Information and Elaborations, Warsaw.
  • GUS (2010b), Labour Force Survey in Poland - I Quarter 2010), Statistical Information and Elaborations, Warsaw..
  • KISH L., (1965) Survey Sampling, New York, Wiley
  • KISH L., FRANKEL M. R., (1974) Inference from Complex Samples, "Journal of the Royal Statistical Society", Series B. (Methodological), Vol. 36, No. 1. 137
  • KORDOS, J. (1985), Towards an Integrated System of Household Surveys in Poland, Bulletin of the International Statistical Institute, Vol. 51, Amsterdam, Book 2 , pp. 13-18.
  • KORDOS, J. (1996), Forty Years of the Household Budget Surveys in Poland. Statistics in Transition, Vol. 2, No. 7, pp.1119- 1138.
  • KORDOS, J. (2001), Some Data Quality Issues in Statistical Publications in Poland, Statistics in Transition, vol. 5, No. 3, December 2001, pp. 475-488.
  • KORDOS ,J., LEDNICKI, B. and ZYRA, M.(2002), The Household Sample Surveys in Poland, Statistics in Transition, Vol. 5, No.4, pp. 555-589.
  • KORDOS ,J., SZARKOWSKI, A. (1974), Method of Precision Estimation for Basic Parameters in Household Budget Surveys .Wiadomości Statystyczne, 1974, nr 5. (in Polish).
  • KOVAR, J.G., RAO, J.N.K., and WU, C.F.J. (1988). Bootstrap and other methods to measure errors in survey estimates. Canadian Journal of Statistics, 16, 25-46.
  • LEDNICKI, B. (1982), Sampling Design and Estimation Method in Household Budget Rotation Survey. Wiadomosci Statystyczne, No. 9. (in Polish).
  • LEDNICKI, B. (2011), Application of the balanced repeated replication method in Polish Household Budget Survey. In: Methods and Organisation of Household Budget Survey. Methodological Publication, Warszawa (in Polish) (in preparation).
  • LOHR, S. (1999), Sampling: Design and Analysis, Duxbury Press.
  • MAHALANOBIS, P.C.(1946), Recent experience in statistical sampling in the Indian Statistical Institute, JRSS(A), 108, 326-378.
  • MCCARTHY P. J., SNOWDEN C. B., (1985), The Bootstrap and Finite Population Sampling, Vital and Health Statistics, Series 2, no. 95, Public Health Service Publication 85-1369, U.S. Government Printing Office, Washington DC
  • NIEMIRO W., WIECZORKOWSKI R., (2005) Approximating Variance for Measures of Income Inequality: An Approach Based on the Theory of M-Estimators and U-Statistics, Eurostat, 2005
  • OSIER G., (2006) Variance estimation: the linearization approach applied by Eurostat to the 2004 SILC operation, Technical report, Eurostat and Statistics Finland Methodological Workshop on EU-SILC, Helsinki, 7-8 November 2006 (http://www.stat.fi/eusilc/workshop_en.html)
  • QUENOUILLE, M. H. (1949). Problems in plane sampling. Annals of Mathematical Statistics 20, 255-375.
  • POPIŃSKI W., (2006), Development of the Polish Labour Force Survey, Statistics in Transition, Vol. 7, No. 5, pp.. 1009-1030.
  • RAO, J.N.K., and WU, C.F.J., (1988). Resampling Inferences with complex survey data. JASA, 83, 321-241.
  • RAO, J.N.K., and WU, C.F.J., and YUE, K. (1992). Some recent work on resampling methods for complex surveys. Survey Methodology, 18, 209-217.
  • RAO, J.N.K., and SHAO, J. (1992). Jackknife variance estimation with survey data under hot deck imputation. Biometrika, 79, 811-822.
  • RAO, J.N.K. and SHAO, J. (1996) On Balanced Half-Sample Variance Estimation in Stratified Random Sampling. Journal of the American Statistical Association, 91, pp. 343 -348.
  • RAO, J.N.K. and SHAO, J. (1999). Modified Balanced Repeated Replication for Complex Survey Data. Biometrika, 86, pp. 403-415.
  • SÄRNDAL, C.E., SWENSSON, B., WRETMAN, J.H., (1992) Model Assisted Survey Sampling, New York: Springer-Verlag.
  • SHAO J., (2003), Impact of the Bootstrap on Sample Surveys, "Statististical Science" Vol. 18, No 2, 191-198.
  • SHAO J. and TU, D., (1996) The Jackknife and Bootstrap, Springer-Verlag, New York.
  • SHAO, J. and WU, C. F.(1989). A general theory for jackknife variance estimation. Ann. Statist., 15,1563-1579.
  • SITTER R. R., (1992) Comparing Three Bootstrap Methods for Survey Data, The Canadian Journal of Statistics, Vol. 20, No. 2, 135-154.
  • SITTER R. R., (1993). Balanced repeated replications based on orthogonal multi-arrays. Biometrika, 80, 211-221.
  • SOME, R. K. (1996), Practical Sampling Techniques, Marcel Dekker, Inc., New York.
  • SUKHATME, P.V. and SUKHATME, B.V. (1970), Sampling Theory of Surveys with Applications, FAO, Rome.
  • SZARKOWSKI, A., WITKOWSKI, J. (1994), The Polish Labour Force Survey, Statistics in Transition, Vol. 1, No. 4, pp. 467-483.
  • TIBSHIRANI, R., (1985) How many bootstraps?, Technical report no 362, Department of Statistics, Stanford University
  • TUKEY, J.W.(1958). Bias and confidence in not-quite large samples. . Annals of Mathematical Statistics. 29:614.
  • VERMA V. (1993). Sampling Errors in Household Surveys: A Technical Study. New York: United Nations Department for Economic and Social Information and Analysis. (Statistical Division INT-92-P80-15E).
  • VERMA V., BETTI G. (2005), Sampling errors and design effects, Working Papers, no. 53, Dipartimento di Metodi Quantitativi, Universita di Siena.
  • VERMA, V., BETTI, G. (2010): Taylor linearization sampling errors and design effects for poverty measures and other complex statistics, Journal of Applied Statistics; iFirst.
  • WOLTER, K.M. (1985), Introduction to Variance Estimation, Springer-Verlag, New York.
  • YUNG, W. and RAO, J.N.K. (1996). Jackknife Linearization Variance Estimators Under Stratified Multi-Stage Sampling. Survey Methodology, 22, pp. 23-31.
  • ZASĘPA, R. (1972), Sampling Methods, PWE, Warsaw (in Polish).
  • ZASEPA, R. (1993). Precision of family budget survey results, Wiadomosci Statystyczne, No. 3. (in Polish).
  • ZIĘBA, A. and KORDOS, J. (2010), Comparing Three Methods of Standard Error Estimation for Poverty Measures. In: J. Wywiał, W. Gamrot (Eds), Research in Social and Economic Surveys, Katowice, University of Economics.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171376915

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.