Comparison of Sampling Methods for Annual Industry and Service Statistics Survey by TURKSTAT

Sibel ŞAHİN; Süleyman ALPAYKUT

Makale detayları

Comparison of Sampling Methods for Annual Industry and Service Statistics Survey by TURKSTAT

Yazarlar:

Sibel ŞAHİN | Süleyman ALPAYKUT

Yayıncı:

Süleyman Demirel University

Dergi:

Süleyman Demirel University Journal of Natural and Applied Sciences 2018 Vol.22 Issue 1, pp.81-87

Belge Tipi:

Makale

Yayın Tarihi:

2/2018

Belge Dili:

Türkçe

Document ID (Org No.):

2000554324

Sıklık:

Üç Yıllık

eISSN:

1308-6529

Özet:

 

The Annual Industry and Service Statistics is one of the largest surveys, conducted by Turkish Statistical Institute, which aims to determine changes in economic structure in Turkey. Both full enumeration and sampling methods are used in this survey. Nevertheless, the percentage of full enumeration increases every year. Even though efforts have been made in order to be used administrative records in recent years, this could not satisfy all of the necessary information needed. Hence, it is believed that there is a requirement to decrease the size of the survey. In this study, it is aimed to propose a sampling method for part of the Annual Industry and Service Statistics Survey conducted with the enumeration and to compare the suggested methods. For that purpose, in the first phase, stratified sampling is used and then the comparison is made by using three different sampling methods within the strata, namely poisson, systematic and simple random sampling. The size of the survey is reduced by using sampling methods, but the economic activity classification together with the level of estimation to the regions increase. It is concluded that the best estimations and minimum variances are obtained when poisson and simple random sampling methods are applied together.

Makale detayları

Comparison of Sampling Methods for Annual Industry and Service Statistics Survey by TURKSTAT

Yazarlar: Sibel ŞAHİN | Süleyman ALPAYKUT

Yayıncı: Süleyman Demirel University

Dergi: Süleyman Demirel University Journal of Natural and Applied Sciences 2018 Vol.22 Issue 1, pp.81-87

Belge Tipi: Makale

Yayın Tarihi: 2/2018

Belge Dili: Türkçe

Document ID (Org No.): 2000554324

Sıklık: Üç Yıllık

eISSN: 1308-6529

Sayı

Yazarlar:

Sibel ŞAHİN | Süleyman ALPAYKUT

Yayıncı:

Süleyman Demirel University

Dergi:

Süleyman Demirel University Journal of Natural and Applied Sciences 2018 Vol.22 Issue 1, pp.81-87

Belge Tipi:

Makale

Yayın Tarihi:

2/2018

Belge Dili:

Türkçe

Document ID (Org No.):

2000554324

Sıklık:

Üç Yıllık

eISSN:

1308-6529