I research the market efficiency of the German 6/49 parimutuel lottery game using Stata. To this end, I investigate the existence of profit opportunities for particularly unpopular combinations of numbers (Papachristou and Karamanis (1998)), employing the covariates proposed by Henze and Riedwyl...

A Stata program will be presented for improved quality control of econometric models. It is well known that reported econometric results often have unknown reliability because of selective reporting by the researcher. In particular, t-statistics are often uninformative or misleading when...

Literature on causal inference has emphasized the average causal effect, defined as the mean difference in potential outcomes under different treatment conditions. We consider marginal regression models that describe how causal effects vary in relation to covariates. To estimate parameters, we...

The quaids ado files written by Brian Poi provide a good template for constructing alternative ado files for maximum likelihood estimation of demand systems. I describe how I used the template to construct ado files to estimate a five commodity almost ideal demand system with demographic...

Following in the footsteps of the Stata user-written command ivtreatreg, recently proposed by the author (Cerulli, 2012), the paper presents a new Stata routine— contreatreg—for estimating a Dose Response Treatment Model under continuous treatment endogeneity and heterogeneous...

Most of the microeconometrics studies are being based on the causal inference analysis. diff provides to the researcher an easy-to-use tool to perform the difference-in-differences estimation from a two-period panel dataset designed for an impact evaluation. It combines the conditional...

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...