Zastosowanie analizy regresji w reprezentacyjnych badaniach społeczno-gospodarczych

• Authors: Raczkiewicz Dorota

Title variants

EN

Application of regression analysis in socio-economic sample surveys

• Languages of publication: PL

Abstracts

EN

The aim of the article is to present how to carry out the classical and logistic regression analyses in sample surveys, describing the socio-economic phenomena, to which complex a sample was drawn. The object of the study are households in Poland, surveyed in the household budgets survey, conducted annually by the Central Statistical Office. The essence of the methods analysis of complex samples is based on taking into account an appropriate design sampling scheme in the estimation which includes stratification, weigh-ing, multistage sampling and adjustments for non-sampling errors. Parameters’ estimates and their variances’ estimates which measure the precision of the parameters’ estimates are different when using appropriate procedures for complex samples from the results which would be obtained if the procedures for simple sample were used. The SAS procedures for regression from complex samples were applied. It was possible due to the significant advances in computational techniques including the development of modeling software as well as increase its availability to users.

Keywords

EN

regression analysis; sample surveys; complex sample

• Publisher: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
• Journal: Econometrics. Ekonometria. Advances in Applied Data Analytics
• Year: 2016
• Issue: 1 (51)
• Pages: 31-47

Contributors

author

Raczkiewicz Dorota

References

• Bracha C., 1983, Regresja liniowa w badaniach reprezentacyjnych, SGPiS, Warszawa.
• Bracha C., 1996, Teoretyczne podstawy metody reprezentacyjnej, WN PWN, Warszawa.
• GUS, 2011, Metodologia badań budżetów gospodarstw domowych, Zeszyty Metodyczne i Klasyfika-cje, Warszawa.
• Jakubowski J., Bracha C., 2001, Przybliżone szacowanie wariancji w przypadku złożonych schematów losowania, Z Prac Zakładu Badań Statystyczno-Ekonomicznych, zeszyt 273, GUS, Warszawa.
• Kish L., 1996, Stuletnie zmagania o badania reprezentacyjne, Wiadomości Statystyczne, nr 8, s. 3-16.
• Koninj H.S., 1962, Regression analysis in sample surveys, Jasa, vol. 57, no. 299, s. 590-606.
• Kott P.S., 2007, Clarifying some issues in the regression analysis of survey data, Survey Research Methods, vol. 1, no. 1, s. 11-18.
• Lohr S.L., 2010, Sampling: Design and Analysis, Brooks/Cole, Cengage Learning.
• Materiały SAS Institute dostępne na stronie: support.sas.com, SAS, 2014.
• Pfeffermann D., 1993, The role of sampling weights when modeling survey data, International Statis-tical Review, vol. 61, no. 2, s. 317-337.
• Wolter K.M., 1985, Introduction to Variance Estimation, Springer-Verlag, New York Berlin Heidel-berg Tokyo.
• Zasępa R., 1962, Badania statystyczne metodą reprezentacyjną, PWN, Warszawa.