The aim of this research project is to see how intra-social group mobility affected mortality patterns in Sweden; the project covers the transition from a preindustrial to an industrial society. According to previous studies (see Bengtsson 2010; Bengtsson and Van Poppel 2011; Bengtsson and Dribe 2011;...

The classical stochastic frontier panel-data models provide no mechanism to disentangle individual time-invariant unobserved heterogeneity from inefficiency. Greene (2005a,b) proposed the so-called true fixed-effects specification that distinguishes these two latent components and allows for...

This presentation presents a parametric counterfactual model identifying average treatment effects (ATEs) by conditional mean independence when externality (or neighborhood) effects are incorporated within the traditional Rubin potential-outcome model. As such, it tries to generalize the usual...

We extend the univariate results in Wooldridge (2005) to multivariate probit models, proving the following. 1) Average partial effects (APEs) based on joint probabilities are consistently estimated by conventional multivariate probit models under general forms of conditionally independent latent...

Data augmentation is a technique for conducting approximate Bayesian regression analysis. This technique is a form of penalized likelihood estimation where prior information, represented by one or more specific prior data records, generates a penalty function that imposes the desired priors on...

This presentation will manage the description of methods of handling large datasets in Stata effectively and efficiently. The course will be based on general considerations of issues related to the management of large datasets on practical examples of specific datasets. We will cover the...

Writing a document that contains statistical results in its narrative, including inline results, can take too much effort. Typically, users have a separate series of do-files whose results must then be pulled into the document. Reproducible research greatly lessens document-maintenance chores by...

For Stata users who know LaTeX, writing a document that includes text, graphs, and Stata syntax and output has been a tedious and unreproducible manual process. To ease the process of creating dynamic documents in Stata, many Stata users have wished to see two additional features in Stata:...

In recent years, much interest has focused on network analysis. This study presents and applies to real data a new user-written Stata command called datanet, which facilitates the dataset organization for the purpose of network analysis. Given a fixed number of units (or nodes) belonging to the...

The margins command in Stata allows us to get a wide array of results using coefficient estimates. I will illustrate the use of margins in some commonly used models. I will then illustrate a new result. I will show how we can use margins after fixed-effects panel-data estimation that...