RSZ: Stata module to draw a stratified simple random sample, a systematic sample, or a randomly split zones sample, with probabilities proportional to size

Cong Ye ()
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Cong Ye: American Institutes for Research

Statistical Software Components from Boston College Department of Economics

Abstract: This program was written primarily for drawing a sample by the randomly split zones (rsz) for samples of size one sampling method as proposed in Singh and Ye (Proc. ASA, SRM, 2016). It also provides the option to draw a sample by simple random (srs) sampling method or the systematic (sys) sampling method. Under the rsz sampling method, explicit strata will be further stratified into deep strata (or zones) by an additional stratifying variable. Also, the program will split zones into random groups from each of which one and only case will be seleted into the initial sample, although multiple cases from a random group can be selected as replicates if specified. By default hierarchical serpentine sorting is assumed under sys or rsz sampling. If the measure of size (MOS) is provided, it draws the sample with probabilities proportional to size (PPS).

Language: Stata
Requires: Stata version 12
Keywords: sampling; stratification; randomly split zones (search for similar items in EconPapers)
Date: 2017-02-09
Note: This module should be installed from within Stata by typing "ssc install rsz". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/r/rsz.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rsz.sthlp help file (text/plain)

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