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Endogenous models of binary choice outcomes: Copula-based maximum-likelihood estimation and treatment effects 二元选择结果的内生模型:基于copula的最大似然估计和治疗效果
IF 4.8 2区 数学
Stata Journal Pub Date : 2022-12-01 DOI: 10.1177/1536867X221140943
Takuya Hasebe
{"title":"Endogenous models of binary choice outcomes: Copula-based maximum-likelihood estimation and treatment effects","authors":"Takuya Hasebe","doi":"10.1177/1536867X221140943","DOIUrl":"https://doi.org/10.1177/1536867X221140943","url":null,"abstract":"In this article, I describe the commands that implement the estimation of three endogenous models of binary choice outcome. The command esbinary fits the endogenously switching model, where a potential outcome differs across two treatment states. The command edbinary fits the endogenous dummy model, which includes a dummy variable indicating the treatment state as one of the explanatory variables. After one estimates the parameters of these models, various treatment effects can be estimated as postestimation statistics. The command ssbinary fits the sample-selection model, where an outcome is observed in only one of the states. The commands fit these models using copula-based maximumlikelihood estimation.","PeriodicalId":51171,"journal":{"name":"Stata Journal","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47252421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
rcm: A command for the regression control method rcm:用于回归控制方法的命令
IF 4.8 2区 数学
Stata Journal Pub Date : 2022-12-01 DOI: 10.1177/1536867X221140960
Guanpeng Yan, Qian Chen
{"title":"rcm: A command for the regression control method","authors":"Guanpeng Yan, Qian Chen","doi":"10.1177/1536867X221140960","DOIUrl":"https://doi.org/10.1177/1536867X221140960","url":null,"abstract":"The regression control method, also known as the panel-data approach for program evaluation (Hsiao, Ching, and Wan, 2012, Journal of Applied Econometrics 27: 705–740; Hsiao and Zhou, 2019, Journal of Applied Econometrics 34: 463–481), is a convenient method for causal inference in panel data that exploits cross-sectional correlation to construct counterfactual outcomes for a single treated unit by linear regression. In this article, we present the rcm command, which efficiently implements the regression control method with or without covariates. Available methods for model selection include best subset, lasso, and forward stepwise and backward stepwise regression, while available selection criteria include the corrected Akaike information criterion, the Akaike information criterion, the Bayesian information criterion, the modified Bayesian information criterion, and cross-validation. Estimation and counterfactual predictions can be made by ordinary least squares, lasso, or postlasso ordinary least squares. For statistical inference, both the in-space placebo test using fake treatment units and the in-time placebo test using a fake treatment time can be implemented. The rcm command produces a series of graphs for visualization along the way. We demonstrate the use of the rcm command by revisiting classic examples of political and economic integration between Hong Kong and mainland China (Hsiao, Ching, and Wan 2012) and German reunification (Abadie, Diamond, and Hainmueller, 2015, American Journal of Political Science 59: 495–510).","PeriodicalId":51171,"journal":{"name":"Stata Journal","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43707277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
The Stata Journal Editors’ Prize 2022: Christopher F. Baum 2022年Stata期刊编辑奖：Christopher F.Baum
IF 4.8 2区 数学
Stata Journal Pub Date : 2022-12-01 DOI: 10.1177/1536867X221140932
N. Cox, S. Jenkins
{"title":"The Stata Journal Editors’ Prize 2022: Christopher F. Baum","authors":"N. Cox, S. Jenkins","doi":"10.1177/1536867X221140932","DOIUrl":"https://doi.org/10.1177/1536867X221140932","url":null,"abstract":"Christopher F. (Kit) Baum was born in 1951 and grew up in Northern Michigan. He received degrees in economics from Kalamazoo College, Florida Atlantic University, and the University of Michigan in, respectively, 1972, 1973, and 1977. He joined the faculty at Boston College in 1977 and has been based there ever since, now as Professor of Economics and courtesy Professor of Social Work. He has chaired the Economics Department since 2018. Kit’s research ranges widely, with interests most recently focused on social epidemiology and health policy. His other research fields include time-series econometrics, financial markets, and macroeconomic policy. In his rare spare time, Kit enjoys foreign travel and outdoor recreation in Northern Michigan and the Adirondacks.","PeriodicalId":51171,"journal":{"name":"Stata Journal","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46394009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
qpair: A command for analyzing paired Q-sorts in Q-methodology qpair：用于分析Q方法中成对Q排序的命令
IF 4.8 2区 数学
Stata Journal Pub Date : 2022-12-01 DOI: 10.1177/1536867X221141002
N. Akhtar-Danesh, Stephen C. Wingreen
{"title":"qpair: A command for analyzing paired Q-sorts in Q-methodology","authors":"N. Akhtar-Danesh, Stephen C. Wingreen","doi":"10.1177/1536867X221141002","DOIUrl":"https://doi.org/10.1177/1536867X221141002","url":null,"abstract":"In this article, we introduce qpair as a new command written in Stata for the analysis of paired Q-sorts in Q-methodology, which is used for studying subjective issues and is a combination of qualitative and quantitative techniques. The quantitative component of Q-methodology employs a by-person factor analysis technique. However, currently there is no systematic approach for analyzing paired Q-sorts or longitudinal data in Q-methodology. We introduce the only statistical command available for the analysis of paired Q-sorts. The qpair command employs the factor extraction and factor rotation techniques in Stata. The command is illustrated using a dataset representing perceptions of 50 information technology professionals on person–organization fit regarding their training and development priorities.","PeriodicalId":51171,"journal":{"name":"Stata Journal","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42504110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
power swgee: GEE-based power calculations in stepped wedge cluster randomized trials. power swgee：基于 GEE 的阶梯楔形分组随机试验功率计算。
IF 4.8 2区 数学
Stata Journal Pub Date : 2022-12-01 Epub Date: 2023-01-05 DOI: 10.1177/1536867x221140953
John A Gallis, Xueqi Wang, Paul J Rathouz, John S Preisser, Fan Li, Elizabeth L Turner
{"title":"power swgee: GEE-based power calculations in stepped wedge cluster randomized trials.","authors":"John A Gallis, Xueqi Wang, Paul J Rathouz, John S Preisser, Fan Li, Elizabeth L Turner","doi":"10.1177/1536867x221140953","DOIUrl":"10.1177/1536867x221140953","url":null,"abstract":"<p><p>Stepped wedge cluster randomized trials are increasingly being used to evaluate interventions in medical, public health, educational, and social science contexts. With the longitudinal and crossover nature of a SW-CRT, complex analysis techniques are often needed which makes appropriately powering SW-CRTs challenging. In this paper, we introduce a newly-developed SW-CRT power calculator, embedded within the power command in Stata. The power calculator assumes a marginal model (i.e., generalized estimating equations [GEE]) for the primary analysis of SW-CRTs, for which other currently available SW-CRT power calculators may not be suitable. The program accommodates complete cross-sectional and closed-cohort designs, and includes multilevel correlation structures appropriate for such designs. We discuss the methods and formulae underlying our SW-CRT calculator, and provide illustrative examples of the use of power swgee. We provide suggestions about the choice of parameters in power swgee, and conclude by discussing areas of future research which may improve the program.</p>","PeriodicalId":51171,"journal":{"name":"Stata Journal","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035664/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9197626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
printcase: A command for visualizing single observations printcase:将单个观察结果可视化的命令
IF 4.8 2区 数学
Stata Journal Pub Date : 2022-12-01 DOI: 10.1177/1536867X221141022
Max D. Weinreb, J. Trinitapoli
{"title":"printcase: A command for visualizing single observations","authors":"Max D. Weinreb, J. Trinitapoli","doi":"10.1177/1536867X221141022","DOIUrl":"https://doi.org/10.1177/1536867X221141022","url":null,"abstract":"In this article, we introduce the printcase command, which outputs data from a specific observation into an easy-to-read Microsoft Word or PDF document. printcase allows analysts to focus on a single observation within a dataset and view that observation in its entirety. The output displays fields in table format, with all variables identified by their corresponding labels and all responses identified by their corresponding value labels. We explain how printcase works, give examples of circumstances under which this type of table-based quasiquestionnaire would be useful, and provide code for printing single observations.","PeriodicalId":51171,"journal":{"name":"Stata Journal","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43418647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
crtrest: A command for ratio estimators of intervention effects on event rates in cluster randomized trials 在聚类随机试验中，干预对事件发生率的影响的比率估计的命令
IF 4.8 2区 数学
Stata Journal Pub Date : 2022-12-01 DOI: 10.1177/1536867X221141012
Xiangmei Ma, Y. Cheung
{"title":"crtrest: A command for ratio estimators of intervention effects on event rates in cluster randomized trials","authors":"Xiangmei Ma, Y. Cheung","doi":"10.1177/1536867X221141012","DOIUrl":"https://doi.org/10.1177/1536867X221141012","url":null,"abstract":"We describe five asymptotically unbiased estimators of intervention effects on event rates in nonmatched and matched-pair cluster randomized trials, and we present a bias-corrected version of the estimators for use when the number of clusters is small. The estimators are the ratio of mean counts (r 1), ratio of mean cluster-level event rates (r 2), ratio of event rates (r 3), double ratio of counts (r 4), and double ratio of event rates (r 5). r 1, r 2, and r 3 estimate the total effect, which comprises the direct and indirect effects; r 4 and r 5 estimate the direct effect. We describe a new command, crtrest, that provides these ratio estimators and their standard errors in nonmatched and matched-pair cluster randomized trials.","PeriodicalId":51171,"journal":{"name":"Stata Journal","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46106720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Speaking Stata: Automating axis labels: Nice numbers and transformed scales Speaking Stata：自动轴标签：漂亮的数字和变换的比例
IF 4.8 2区 数学
Stata Journal Pub Date : 2022-12-01 DOI: 10.1177/1536867X221141058
N. Cox
{"title":"Speaking Stata: Automating axis labels: Nice numbers and transformed scales","authors":"N. Cox","doi":"10.1177/1536867X221141058","DOIUrl":"https://doi.org/10.1177/1536867X221141058","url":null,"abstract":"Two common problems with graph axis labels are to decide in advance on some “nice” numbers to use on one or both axes and to show particular labels on some transformed scale. In this column, I discuss the nicelabels and mylabels commands, which address these problems. The first command is new to Stata, and the second is a revision of a previously published command. I also survey the myticks command for tick placement. In all commands, the main output is a local macro in the calling program’s space, in the interest of promoting automation in do-files and programs.","PeriodicalId":51171,"journal":{"name":"Stata Journal","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44861450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Stata tip 148: Searching for words within strings stat技巧148:在字符串中搜索单词
IF 4.8 2区 数学
Stata Journal Pub Date : 2022-12-01 DOI: 10.1177/1536867X221141068
N. Cox
{"title":"Stata tip 148: Searching for words within strings","authors":"N. Cox","doi":"10.1177/1536867X221141068","DOIUrl":"https://doi.org/10.1177/1536867X221141068","url":null,"abstract":"Searching for particular text within strings is a common data management problem. One frequent context is whenever various possible answers to a question are bundled together in values of a string variable. Suppose people are asked which sports they enjoy or something more interesting, like which statistical software they use routinely. To keep the matter simple, we will first imagine just lists of one or more numbers that are concise codes for distinct answers, say, \"42\" for \"cricket\" or \"1\" for \"Stata\". Nonnumeric codes will also be considered in due course. For more on handling such questions, sometimes called multiple response, see Cox and Kohler (2003) or Jann (2005).","PeriodicalId":51171,"journal":{"name":"Stata Journal","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44872513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Stata implementation of second-generation p-values 第二代p值的Stata实现
IF 4.8 2区 数学
Stata Journal Pub Date : 2022-09-01 DOI: 10.1177/1536867X221124466
Sven-Kristjan Bormann
{"title":"A Stata implementation of second-generation p-values","authors":"Sven-Kristjan Bormann","doi":"10.1177/1536867X221124466","DOIUrl":"https://doi.org/10.1177/1536867X221124466","url":null,"abstract":"In this article, I introduce new commands to calculate second-generation p-values (SGPVs) for common estimation commands in Stata. The sgpv command and its companions allow the easy calculation of SGPVs and their associated diagnostics, as well as the plotting of SGPVs against the standard p-values.","PeriodicalId":51171,"journal":{"name":"Stata Journal","volume":null,"pages":null},"PeriodicalIF":4.8,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42588398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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