This presentation shows and applies a new user-written Stata command, enhancedeba, that facilitates the extreme bounds analysis (EBA) methodologies proposed by Leamer (1983, 1985) and Sala-i-Martin (1997). This command is useful for robustness checks and determining whether relationships between...

Applied scientists, especially public health scientists, frequently want to know how much good can be caused by a proposed intervention. For instance, they might want to estimate how much we could decrease the level of a disease, in a dream scenario where the whole world stopped smoking,...

Decomposition of the goodness of fit to (groups of) regressor variables can be a useful diagnostic tool to quickly assess “relative importanceâ€. Owen and Shapley values, two closely related solutional concepts in cooperative game theory, provide unique solutions to the decomposition...

We introduce a new integrate() function for Mata that evaluates single-dimensional integrals. This function uses three different Gaussian quadrature algorithms: Gauss–Hermite and Gauss–Laguerre for indefinite integrals; and Gauss–Legendre for definite integrals. The...

In the presence of competing risks, calculation of cumulative incidence should provide a more realistic assessment of the probabilities of the event of interest conditional on covariates than provided by either the Kaplan–Meier failure probabilities or the event probabilities predicted...

I present a new Stata command, simsam, that uses simulation to determine the sample size required to achieve given power for any method of analysis under any probability model that can be programmed in Stata (simsam assumes that code for generating a single dataset and analyzing it can be found...

In this talk, I will provide an overview of Stata features that are typically used for the analysis of psychometric and educational testing data. Traditional multivariate tools such as canonical correlation, MANOVA, multivariate regression, Cronbach’s alpha, exploratory and confirmatory...

This study brings together Census block-level data on broadband service availability, economics, demographics, regulations, and terrain to model the supply and demand of high-speed broadband service in the United States. While Stata is the primary tool for data management and multilevel...

In this talk, I will give a brief introduction to structural equation modeling (SEM) and Stata’s sem command. I will also introduce the SEM Builder—the graphical user interface for drawing path diagrams, fitting structural equation models, and analyzing the results. Using the SEM...

In Agricultural Economics 37 (2007) 201–210, using a counterfactual outcomes framework, Diagne and Demont showed that observed sample technological adoption rate does not consistently estimate the population adoption rate even if the sample is random. Likewise, it is shown that a model of...