Faculty of Business and Economics >> test [five_mean]a = [zero_mean]b > ----- Messaggio originale ----- > A: statalist@hsphsun2.harvard.edu >>> how can one test the difference between the estimated coefficients (b There are a few options that can be appended: unequal (or un) informs Stata that the variances of the two groups are to be considered as unequal; welch (or w) requests Stata to use Welch's approximation to the t-test (which has the nearly the same effect as unequal; only the d.f. Date Even if the two >> http://www.hec.unil.ch/people/jantonakis > same scale). qui xtlogit Iy x1 x2 if q==6,i(isub) nolog . significantly different. >> OR We want to compare regression beta's coming from two different regressions. Using the T Score to P Value Calculator with a t score of 6.69 with 10 degrees of freedom and a two-tailed test, the p-value = 0.000. > Is it correct? > statistically different from the estimated parameters from the second Generally, for a linear model of the form: Y … >> http://www.hec.unil.ch/jantonakis method generalizes in a straightforward manner to regressions with more than >>> Related to Sharon's question, I have a similar problem, where I want to estimate the covariance between estimated regression coefficients obtained under clustering, but for two different indicator variables with the same predictors: . hypothesys of equality, and, hence, the two coefficients are >>> * I need to know for each coefficient. >> Personal page: > Just read about the -test- command. >> Thanks! When the constants (or y intercepts) in two different regression equations are different, this indicates that the two regression lines are shifted up or down on the Y axis. The omnibus F test is an overall test that examines model fit, thus failure to reject the null hypothesis implies that the suggested linear model is not significantly suitable to the data. >> * This module calculates power and sample size for testing whether two slopes from two groups are significantly different. Is there any method/creteria to standardize regression coefficients coming from different regressions. >> regress a b if year==2005 >> The final fourth example is the simplest; two regression coefficients in the same equation. >> Department of Organizational Behavior >> Oggetto: Re: st: testing the difference between the estimated > It is simply the -test- command: Herve M. Caci, 2000. variables in question are dummy variables? > reg y x z q > John Antonakis

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