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| Jann, Ben. |
| The counterfactual decomposition technique popularized by Blinder (1973, Journal of Human Resources, 436–455) and Oaxaca (1973, International Economic Review, 693–709) is widely used to study mean outcome differences between groups. For example, the technique is often used to analyze wage gaps by sex or race. This article summarizes the technique and addresses several complications, such as the identification of effects of categorical predictors in the detailed decomposition or the estimation of standard errors. A new command called oaxaca is introduced, and examples illustrating its usage are given. |
| Tipo: Article |
Palavras-chave: Oaxaca; Blinder–Oaxaca decomposition; Outcome differential; Wage gap; Research Methods/ Statistical Methods. |
| Ano: 2008 |
URL: http://purl.umn.edu/122615 |
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| Jann, Ben. |
| estout, introduced by Jann (Stata Journal 5: 288–308), is a useful tool for producing regression tables from stored estimates. However, its syntax is relatively complex and commands may turn out long even for simple tables. Furthermore, having to store the estimates beforehand can be cumbersome. To facilitate the production of regression tables, I therefore present here two new commands called eststo and esttab. eststo is a wrapper for official Stata’s estimates store and simplifies the storing of estimation results for tabulation. esttab, on the other hand, is a wrapper for estout and simplifies compiling nice-looking tables from the stored estimates without much typing. I also provide updates to estout and estadd. |
| Tipo: Article |
Palavras-chave: Csv; Estadd; Estimates; Estout; Eststo; Esttab; Excel; Html; Latex; Regression table; Rtf; Word; Research Methods/ Statistical Methods. |
| Ano: 2007 |
URL: http://purl.umn.edu/119271 |
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| Jann, Ben. |
| Organizing and archiving statistical results and processing a subset of those results for publication are important and often underestimated issues in conducting statistical analyses. Because automation of these tasks is often poor, processing results produced by statistical packages is quite laborious and vulnerable to error. I will therefore present a new package called estout that facilitates and automates some of these tasks. This new command can be used to produce regression tables for use with spreadsheets, LaTeX, HTML, or word processors. For example, the results for multiple models can be organized in spreadsheets and can thus be archived in an orderly manner. Alternatively, the results can be directly saved as a publication-ready table for... |
| Tipo: Journal Article |
Palavras-chave: Estout; Estoutdef; Estadd; Estimates; Regression table; Latex; Html; Research Methods/ Statistical Methods. |
| Ano: 2005 |
URL: http://purl.umn.edu/117522 |
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| Jann, Ben. |
| Although multiple-response questions are quite common in survey research, Stata’s official release does not provide much capability for an effective analysis of multiple-response variables. For example, in a study on drug addiction an interview question might be, “Which substances did you consume during the last four weeks?” The respondents just list all the drugs they took, if any; e.g., an answer could be “cannabis, cocaine, heroin” or “ecstasy, cannabis” or “none”, etc. Usually, the responses to such questions are stored as a set of variables and, therefore, cannot be easily tabulated. I will address this issue here and present a new module to compute one- and two-way tables of multiple responses. The module supports several types of data structure,... |
| Tipo: Journal Article |
Palavras-chave: Mrtab; Mrgraph; _mrsvmat; Multiple responses; Multiple testing; Tabulate; Research Methods/ Statistical Methods. |
| Ano: 2005 |
URL: http://purl.umn.edu/117502 |
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