Data on twins or on other types of family structures (for example, nuclear families, siblings, cousins) can be used to estimate the proportion of variability in observed traits (or phenotypes) that is due to genes. The models are essentially multivariate regression models with residual...

In the context of his research on perceptual agreement, Cees van der Eijk (2001, Quality & Quantity: 35, 325–341) indicates that empirical measures that resort to the standard deviation of the response distribution capture not only consensus but also skewedness. Thus they are inappropriate...

In this talk, I will discuss some techniques available in Stata for analyzing dependent variables that are proportions. I will discuss four programs: betafit, glm, dirifit, and fmlogit. The first two deal with situations where we want to explain only one proportion, while the latter two deal...

Fixed-effects regression is considered a powerful method for estimating causal effects with survey data. However, in the linear model, the conventional technique of time-demeaning does not yield consistent estimates of the parameters when unobserved heterogeneity is not time-constant. Jeffrey M....

Respondent-driven sampling (RDS) is a sampling technique typically employed for hard-to-reach populations (for example, homeless people, people with AIDS, immigrants). Briefly, initial seed respondents recruit additional respondents from their network of friends. The recruiting process repeats...

Methods for causal inference and the estimation of treatment effects have received much attention in recent years. Most of the methodological and applied work focuses on the identification of so-called average treatment effects, possibly restricted to the treated or the untreated. However,...

Stata 11 has a new command, gmm, for estimating parameters by the generalized method of moments (GMM). gmm can estimate the parameters of linear and nonlinear models for cross-sectional, panel, and time-series data. In this presentation, I provide an introduction to GMM and to the gmm command.

Stata users have developed several programs to create publication-quality documents containing regression results (outreg, outreg2, outtex, estout), tables of statistics (tabout), and contents of matrices (outtable). So far, less effort has been made to enable the easy publication of other kinds...

Matching, especially in its propensity-score flavors, has become an extremely popular evaluation method. Matching is, in fact, the best-available method for selecting a matched (or reweighted) comparison group that looks like the treatment group of interest. In this talk, I will introduce...

This presentation updates Nichols and Schaffer's 2007 UKSUG talk on clustered standard errors. Although cluster-robust standard errors are now recognized as essential in a panel data context, official Stata only supports clusters that are nested within panels. This rules out the possibility of...