From Stata to aML

Sara Ayllòn

doi:10.1177/1536867x1401400207

From Stata to aML

Sara Ayllòn

Departament d'Economia

Producció científica: Contribució a revista › Article científic › Avaluat per experts

5 Cites (Scopus)

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In this article, I explain how to exploit Stata to run multilevel multiprocess regressions with applied maximum likelihood (aML). I show how a single do-file can prepare the dataset, write the control files, input the starting values, and run the regressions without the need to manually open the aML’s Command Prompt window. If desired, results can be brought back to Stata for postestimation. I also provide an example that illustrates how well Stata and aML work together.

Idioma original	Anglès
Número d’article	st0340
Pàgines (de-a)	342-362
Nombre de pàgines	21
Revista	Stata Journal
Volum	14
Número	2
DOIs	https://doi.org/10.1177/1536867x1401400207
Estat de la publicació	Data de publicació - de juny 2014

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title = "From Stata to aML",

abstract = "In this article, I explain how to exploit Stata to run multilevel multiprocess regressions with applied maximum likelihood (aML). I show how a single do-file can prepare the dataset, write the control files, input the starting values, and run the regressions without the need to manually open the aML{\textquoteright}s Command Prompt window. If desired, results can be brought back to Stata for postestimation. I also provide an example that illustrates how well Stata and aML work together.",

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author = "Sara Ayll{\`o}n",

note = "Publisher Copyright: {\textcopyright} 2014 StataCorp LP.",

year = "2014",

month = jun,

doi = "10.1177/1536867x1401400207",

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volume = "14",

pages = "342--362",

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N2 - In this article, I explain how to exploit Stata to run multilevel multiprocess regressions with applied maximum likelihood (aML). I show how a single do-file can prepare the dataset, write the control files, input the starting values, and run the regressions without the need to manually open the aML’s Command Prompt window. If desired, results can be brought back to Stata for postestimation. I also provide an example that illustrates how well Stata and aML work together.

AB - In this article, I explain how to exploit Stata to run multilevel multiprocess regressions with applied maximum likelihood (aML). I show how a single do-file can prepare the dataset, write the control files, input the starting values, and run the regressions without the need to manually open the aML’s Command Prompt window. If desired, results can be brought back to Stata for postestimation. I also provide an example that illustrates how well Stata and aML work together.

KW - File open

KW - File write

KW - Multilevel multiprocess models

KW - aML

KW - st0340

UR - https://www.scopus.com/pages/publications/85000932388

U2 - 10.1177/1536867x1401400207

DO - 10.1177/1536867x1401400207

M3 - Scientific article

AN - SCOPUS:85000932388

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VL - 14

SP - 342

EP - 362

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JF - Stata Journal

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ER -

From Stata to aML

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