Search
   >> Home >> Resources & support >> Users Group meetings >> 2010 Italian Stata Users Group meeting >> Abstracts

2010 Italian Stata Users Group meeting: Abstracts

Extracting results from nonlinear models


Maarten Buis
Institut für Soziologie Eberhard Karls Universität Tübingen
In this presentation, I discuss a variety of ways in which you can interpret the results obtained from nonlinear models (e.g., logit, probit, poisson, and streg) and how these different ways of interpreting results are related. I pay particular attention to 1) the difference between average predictions or marginal effects and predictions or marginal effects for an individual with average characteristics; 2) the different ways in which interaction effects can be interpreted; and 3) the difficulties in giving an causal interpretation to effects in nonlinear models.

Additional information
buis_sug.pdf

Multilevel regression and poststratification in Stata


Maurizio Pisati and Valeria Glorloso
Università di Milano-Bicocca
Abstract not available.

Additional information
pisati_sug.pdf

Anova-type consistent estimators of variance components in umbalanced multiway error compnents models


Giovanni Bruno
Università Bocconi
Abstract not available.

Additional information
bruno_sug.pdf

Estimating partial effects using margins in Stata 11


David Drukker
StataCorp LP
This session introduces the use of the margins command to estimate the partial effects at the mean and the mean of the partial effects. Both the Stata syntax and the underlying statistical methods will be discussed. The presentation will also include some discussion of factor variables.

Additional information
drukker_sug.pdf

Multiple imputation in Stata


Bill Rising
StataCorp LP
Multiple imputation is a method for trying to retrieve power lost by missing values in a dataset. In this session, I will demonstrate how the suite of mi commands introduced in Stata 11 can be used to impute data, estimate models, and pool results, as well as manage various forms of multiply imputed datasets.

Additional information
rising_sug.pdf

M statistic commands: Interpoint distance distribution analysis


Pietro Tebaldi and Marco Bonetti
Università Commerciale L. Bocconi, Milano
Marcello Pagano
Harvard University
Abstract not available.

Additional information
tebaldi_sug.pdf
tebaldi_files.zip

Tabula, what you see is what you tabulate


Giovanni Luca Lo Magno
Unversità degli Studi di Palermo
Abstract not available.

Additional information
magno_sug.pdf
tabulasetup_0_3_beta.exe

Wishes and grumbles


Bill Rising
StataCorp LP
The “Wishes and grumbles” session offers participants the opportunity to interact directly with StataCorp. You can highlight problems or limitations of the software and suggest improvements or new commands that possibly could be included in the next version of Stata.
The Stata Blog: Not Elsewhere Classified Find us on Facebook Follow us on Twitter LinkedIn Google+ Watch us on YouTube