Bookmark and Share

Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: combining multiple surveys - adjustment of weights

From   Dana Shills <[email protected]>
To   <[email protected]>
Subject   st: combining multiple surveys - adjustment of weights
Date   Thu, 27 Jan 2011 23:45:56 -0500


I am trying to combine multiple country survey datasets (10 surveys) to estimate ols regressions of firm performance across the 10 countries. 8 of the surveys are stratified random samples of firms in the 8 countries (so the strata identifier in each dataset goes from 1 to some number N, that varies) and 2 others are simple random samples. The survey questionnaire is the same across countries.

1> Statistically are there any issues with combining multiple surveys when the sampling methods are different?

2> To declare the combined dataset in Stata as a survey, I create a new strata variable that doesn't overlap between the surveys (as suggested in the previous thread). But how should I deal with the probability weights provided in each dataset?
Suppose I assume that the sum of the weights in each country (countrysum) represents the population, then can I just rescale each weight by (sum of weighs across all countries)/countrysum?
3> I am running weighted regressions using the svy: regress command on the combined dataset. If the sample size varies greatly between the surveys, should I rescale each firm level variable in the regression by the sample size in that country or does svy take care of this?


*   For searches and help try:

© Copyright 1996–2018 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   Site index