Dear all,
I am using Labor Force Survey data in a logit analysis, and therefore need help with svyset before I run my regression.
However, I am having trouble doing this as I am not very familiar with svyset. (I am only analyzing a sub-population, only individuals who are employed.)
I am supposed to follow this structure according to: https://www.stata.com/support/faqs/s...stage-designs/
Is this correct? Should the urban rural variable be included somewhere?
Any pointers are greatly appreciated!
Thank you very much!
- - - -
The sampling design is as follows according to: http://catalog.ihsn.org/index.php/ca...tab=study-desc
I am using Labor Force Survey data in a logit analysis, and therefore need help with svyset before I run my regression.
However, I am having trouble doing this as I am not very familiar with svyset. (I am only analyzing a sub-population, only individuals who are employed.)
I am supposed to follow this structure according to: https://www.stata.com/support/faqs/s...stage-designs/
Code:
svyset su1 [pw=pwt], strata(strata1) fpc(fpc1) /// || su2, fpc(fpc2) || _n, fpc(fpc3)
Is this correct? Should the urban rural variable be included somewhere?
Code:
svyset psu [pweight = weight], strata(prov)
Thank you very much!
- - - -
The sampling design is as follows according to: http://catalog.ihsn.org/index.php/ca...tab=study-desc
The sample size of the survey is 50,640 households per quarter, equivalent to 16,880 households per month. Sample size was designed to ensure the statistical significance of data for region by quarter and for province by year. Households were randomly selected from the 15% sample enumeration areas of the Population and Housing Census 2009 following a two-stage procedure:
1. Selecting enumeration areas
2. Selecting households. All residents ages 15 and above were interviewed and enumerated.
Sample Frame: The sample of the 2013 Labour force survey is the two-stage stratified sample, presented for the whole country, urban/rural areas; 6 socio-economic regions, Hanoi and Ho Chi Minh City for quarterly and all centrally governed cities/provinces for yearly. Each centrally governed province, city constitutes a main stratum with two sub-stratums of urban areas and rural areas. The sample frame is the 15% sample enumeration areas of the 2009 Population and Housing Census.
Sample design: The survey followed a two-stage stratified sampling procedure designed as follows:
- Stage 1 (selecting enumeration areas): Each centrally governed city/province constitutes a main stratum, after that, each main stratum was divided into 2 sub-stratums within each representing "urban" and "rural" areas. Then, the list of enumeration areas of cities/provinces (the master sampling frame was taken from the sampling frame 15% of the Population and Housing Census 2009) was divided into 2 independent samples (urban and rural) and enumeration areas were chosen by the Kish method.
- Stage 2 (selecting households): for each enumeration area defined in stage 1, 15 enumeration households (55 provinces) or 20 enumeration households (8 provinces: ) were systematically chosen.
1. Selecting enumeration areas
2. Selecting households. All residents ages 15 and above were interviewed and enumerated.
Sample Frame: The sample of the 2013 Labour force survey is the two-stage stratified sample, presented for the whole country, urban/rural areas; 6 socio-economic regions, Hanoi and Ho Chi Minh City for quarterly and all centrally governed cities/provinces for yearly. Each centrally governed province, city constitutes a main stratum with two sub-stratums of urban areas and rural areas. The sample frame is the 15% sample enumeration areas of the 2009 Population and Housing Census.
Sample design: The survey followed a two-stage stratified sampling procedure designed as follows:
- Stage 1 (selecting enumeration areas): Each centrally governed city/province constitutes a main stratum, after that, each main stratum was divided into 2 sub-stratums within each representing "urban" and "rural" areas. Then, the list of enumeration areas of cities/provinces (the master sampling frame was taken from the sampling frame 15% of the Population and Housing Census 2009) was divided into 2 independent samples (urban and rural) and enumeration areas were chosen by the Kish method.
- Stage 2 (selecting households): for each enumeration area defined in stage 1, 15 enumeration households (55 provinces) or 20 enumeration households (8 provinces: ) were systematically chosen.
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