Showing 1 - 10 of 479
As the title implies, EFA within a CFA framework combines aspects of both EFA and CFA. It uses CFA to produce a factor solution that is close to an EFA solution while providing features typically found in CFA, such as, standard errors, statistical tests and modification indices. The presentation...
Persistent link: https://www.econbiz.de/10010897903
Profile analysis is a multivariate method for examining differences in the shapes of profiles across groups. Profile analysis uses of Stata's -manova- command along with -manovatest- for estimation. This presentation will also demonstrate the use of the user written program -profileplot- to...
Persistent link: https://www.econbiz.de/10010897931
Stata's xi command performs dummy (indicator) coding on the fly and with the "*" operator allows for the interaction of two categorical variables or a categorical with a continuous variable. xi3 extends the capabilities of xi to include a number of additional coding systems and can create...
Persistent link: https://www.econbiz.de/10005102761
This presentation will cover a collection of statistics teaching tools written in Stata. These programs involve demonstrations or simulations of various statistical topics that are used both in the classroom and individually by the students. Topics include probability (coin, dice, box models),...
Persistent link: https://www.econbiz.de/10005074326
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...
Persistent link: https://www.econbiz.de/10004970623
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...
Persistent link: https://www.econbiz.de/10004970624
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...
Persistent link: https://www.econbiz.de/10004970626
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...
Persistent link: https://www.econbiz.de/10004970627
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...
Persistent link: https://www.econbiz.de/10011132924
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...
Persistent link: https://www.econbiz.de/10011132925