Speaking Stata: Finding the denominator: Minimum sample size from percentages

Nicholas J. Cox
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Abstract

Percentage breakdowns for a series of classes or categories are sometimes reported without a specification of class frequencies or even the total sample size. This column surveys the problem of estimating the minimum sample size and class frequencies consistent with a reported breakdown and a particular resolution. I introduce and explain a new command, find_denom. Rounding quirks whereby a total is reported as above or below 100% are discussed as a complication.
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说说 Stata:找到分母:从百分比得出最小样本量
有时,在报告一系列类别的百分比细目时,没有说明类别频率,甚至没有说明总样本量。本专栏将探讨如何估算与所报告的分类和特定分辨率相一致的最小样本量和类别频率。我将介绍并解释一个新命令 find_denom。本专栏还讨论了四舍五入的问题,即报告的总数高于或低于 100%。
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Review of A. Colin Cameron and Pravin K. Trivedi’s Microeconometrics Using Stata, Second Edition Speaking Stata: Finding the denominator: Minimum sample size from percentages The Stata Journal Editors’ Prize 2023: Fernando Rios-Avila Review of Alan Acock’s A Gentle Introduction to Stata, Revised Sixth Edition Simpler standard errors for two-stage optimization estimators revisited
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