The Stata JournalPub Date : 2023-12-01DOI: 10.1177/1536867X231212446
Sebastian Kripfganz
{"title":"Review of A. Colin Cameron and Pravin K. Trivedi’s Microeconometrics Using Stata, Second Edition","authors":"Sebastian Kripfganz","doi":"10.1177/1536867X231212446","DOIUrl":"https://doi.org/10.1177/1536867X231212446","url":null,"abstract":"In this article, I review Microeconometrics Using Stata, Second Edition, by A. Colin Cameron and Pravin K. Trivedi (2022, Stata Press).","PeriodicalId":437120,"journal":{"name":"The Stata Journal","volume":"57 2","pages":"1062 - 1073"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138986040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Stata JournalPub Date : 2023-12-01DOI: 10.1177/1536867x231212453
Nicholas J. Cox
{"title":"Speaking Stata: Finding the denominator: Minimum sample size from percentages","authors":"Nicholas J. Cox","doi":"10.1177/1536867x231212453","DOIUrl":"https://doi.org/10.1177/1536867x231212453","url":null,"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.","PeriodicalId":437120,"journal":{"name":"The Stata Journal","volume":"111 ","pages":"1086 - 1095"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138988203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Stata JournalPub Date : 2023-12-01DOI: 10.1177/1536867X231212445
J. Terza
{"title":"Simpler standard errors for two-stage optimization estimators revisited","authors":"J. Terza","doi":"10.1177/1536867X231212445","DOIUrl":"https://doi.org/10.1177/1536867X231212445","url":null,"abstract":"“Simpler standard errors for two-stage optimization estimators” (Terza, 2016a, Stata Journal 16: 368–385) offers an analytic simplification of the daunting textbook formulations of the asymptotic variance–covariance matrix of a class of two-stage optimization estimators. Here I revisit that simplification and show that it applies to a much broader class of estimators than was originally considered. I also offer a correction that further enhances the generality of this asymptotic variance–covariance matrix formulation. These points are illustrated via a real-data application.","PeriodicalId":437120,"journal":{"name":"The Stata Journal","volume":"23 3","pages":"1057 - 1061"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139018540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Stata JournalPub Date : 2023-12-01DOI: 10.1177/1536867X231212448
Andrew Musau
{"title":"Review of Alan Acock’s A Gentle Introduction to Stata, Revised Sixth Edition","authors":"Andrew Musau","doi":"10.1177/1536867X231212448","DOIUrl":"https://doi.org/10.1177/1536867X231212448","url":null,"abstract":"In this article, I review A Gentle Introduction to Stata, Revised Sixth Edition, by Alan Acock (2023, Stata Press).","PeriodicalId":437120,"journal":{"name":"The Stata Journal","volume":"7 17","pages":"1074 - 1081"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139015393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Stata JournalPub Date : 2023-12-01DOI: 10.1177/1536867X231212425
Nicholas J. Cox, Stephen P. Jenkins
{"title":"The Stata Journal Editors’ Prize 2023: Fernando Rios-Avila","authors":"Nicholas J. Cox, Stephen P. Jenkins","doi":"10.1177/1536867X231212425","DOIUrl":"https://doi.org/10.1177/1536867X231212425","url":null,"abstract":"","PeriodicalId":437120,"journal":{"name":"The Stata Journal","volume":"216 1","pages":"905 - 908"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139013568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Stata JournalPub Date : 2023-12-01DOI: 10.1177/1536867X231212452
Tim Collier
{"title":"An Introduction to Stata for Health Researchers review","authors":"Tim Collier","doi":"10.1177/1536867X231212452","DOIUrl":"https://doi.org/10.1177/1536867X231212452","url":null,"abstract":"In this article, I review An Introduction to Stata for Health Researchers, by Svend Juul and Morten Frydenberg (2021, Stata Press).","PeriodicalId":437120,"journal":{"name":"The Stata Journal","volume":"332 4","pages":"1082 - 1085"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139022871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Stata JournalPub Date : 2023-12-01DOI: 10.1177/1536867X231212439
Daniele Spinelli
{"title":"Improving flexibility and ease of matrix subsetting: The submatrix command","authors":"Daniele Spinelli","doi":"10.1177/1536867X231212439","DOIUrl":"https://doi.org/10.1177/1536867X231212439","url":null,"abstract":"Matrix manipulation in Stata can be a time-consuming and tedious task, especially when it is necessary to subset or rearrange elements from large matrices based on nonconsecutive elements. Compared with Mata, these tasks require more time, more code, and sometimes more complex output. The purpose of this article is to introduce submatrix, a command to manipulate matrix elements using row (and column) names, numbers, and equations.","PeriodicalId":437120,"journal":{"name":"The Stata Journal","volume":"315 3","pages":"1045 - 1056"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139022936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Stata JournalPub Date : 2023-12-01DOI: 10.1177/1536867X231212437
Farahnaz Islam, James F. Thrasher, Feifei Xiao, Robert R. Moran, James W. Hardin
{"title":"Data management and techniques for best–worst discrete choice experiments","authors":"Farahnaz Islam, James F. Thrasher, Feifei Xiao, Robert R. Moran, James W. Hardin","doi":"10.1177/1536867X231212437","DOIUrl":"https://doi.org/10.1177/1536867X231212437","url":null,"abstract":"In this article, we present software that is suitable for use with Stata’s choice modeling suite of commands, which begin with cm. Within the context of choice models, we focus on best–worst data. In such data, respondents are presented a set of choices and are required to select a best and a worst choice from among the alternatives. Optionally, respondents may indicate an opt-out choice, in which no best or worst choice exists in the choice set. Such data are simplified versions of experiments in which respondents rank all the choices. Once best–worst data are collected, there are specific types of data expansions that analysts use to take advantage of both explicit and implicit information. The commands described in this article support data expansion and model estimation.","PeriodicalId":437120,"journal":{"name":"The Stata Journal","volume":"425 1","pages":"1020 - 1044"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139023743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}