In order to determine whether a tax or transfer is progressive, this presentation shows the benefits offered by the modules cprog and cprogbt within the environment of Stata through the distributive analysis Stata package (DASP). The goal is to compute progressivity curves and check whether...

Stata's structural equation modeling (SEM) capabilities have been greatly expanded in version 13. Support for categorical and count outcomes as well as multilevel data structures allow us to fit a dizzying array of models. This talk will demonstrate how to use these new features with several...

Causal inference in observational data is a nearly alchemic task because parameter estimates depend on the model being correctly specified. Researchers strive to include all potential confounders in their models, but this assumption cannot be directly tested. Further complications arise in...

I report on a study of the socioeconomic determinants of completed fertility in Mexico. An innovative Poisson double-hurdle count model is developed for the analysis. This methodological approach allows low- and high-order parities to be determined by two different data-generating mechanisms and...

In this paper, we analyze the effects of inflation on poverty in Mexico from 1993 to 2009. We also include sector composition of GDP and informal work as determinants of poverty in Mexico. We use two measures for poverty: the percentage population whose household income per capita is below the...

Treatment-effects estimation is a fundamental tool in the empirical analysis of program and policy evaluations. Its importance in this area is reflected in the ample body of work that has been done in the last decades. Using Stata, I will illustrate estimation of the more traditional...

From its beginnings in the second half of the nineteenth century until today, the study of economic time series has involved a variety of research anchored in stylized mathematical methods in order to simulate, verify, test, and forecast the behavior of key economic variables to describe...

How to plot (and summarize) univariate distributions is a staple of introductory data analysis. Graphical (and numerical) assessment of marginal and conditional distributions remains important for much statistical modeling. Research problems can easily evoke needs for many comparisons, across...

Much interest has been focused on animated graphical displays of data in recent years, although this mostly involves some expertise with specialized software and programming. There is a lack of simple tools for data analysts to use to produce animations. In this presentation, I will show how...

In the robust statistics literature, a wide variety of models has been developed to cope with outliers in a rather large number of scenarios. Nevertheless, a recurrent problem for the empirical implementation of these estimators is that optimization algorithms generally do not perform well when...