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From Stata to aML

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  • Sara Ayllon

    (University of Girona)

Abstract

This presentation explains how to exploit Stata to run multilevel multiprocess regressions with aML (software downloadable for free from applied-ml.com). 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. In this sense, Stata helps to avoid the difficulties of running complicated regressions with aML by automatically generating the necessary files, which avoids typos and easily allows changes in model specification. The paper contains an example of how well Stata and aML work together.

Suggested Citation

  • Sara Ayllon, 2013. "From Stata to aML," United Kingdom Stata Users' Group Meetings 2013 18, Stata Users Group.
    • Handle: RePEc:boc:usug13:18
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    File URL: http://repec.org/usug2013/ayllon.uk13.pdf
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    Cited by:

    1. Ayllón, Sara & Fusco, Alessio, 2017. "Are income poverty and perceptions of financial difficulties dynamically interrelated?," Journal of Economic Psychology, Elsevier, vol. 61(C), pages 103-114.
    2. Sara Ayllón & András Gábos, 2017. "The Interrelationships between the Europe 2020 Poverty and Social Exclusion Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(3), pages 1025-1049, February.
    3. Sara Ayllón, 2015. "Youth Poverty, Employment, and Leaving the Parental Home in Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(4), pages 651-676, December.

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