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May
14
comment Can I forecast using two year data
Do you mean forecast sales given some potential prices, or just forecast sales without regard for price?
May
8
comment How to calculate the standard error of the marginal effects with quadratic term?
Take a look here for a hint.
May
8
revised How to calculate the standard error of the marginal effects with quadratic term?
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May
6
answered Is there an optmal lag choice in the KPSS test?
May
6
awarded  Nice Answer
May
4
comment Inverting a VAR - looking for a good resource
Cross-posted and answered here.
May
4
comment How to interpret a discrete variable in regression model
@Adasz Take a look at the first part of this answer.
May
3
comment Interpreting margins of dummy variables
@numra The sentence with the number .5727857 gives an example of that.
May
3
revised Not understanding reason for demeaning covariates in program evaluation regression
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May
3
answered Not understanding reason for demeaning covariates in program evaluation regression
May
3
answered Mathematical Basis behind inflation of Standard errors of Regression estimates due to multicollinearity
May
2
comment Interpreting margins of dummy variables
There was an example in the previous question you asked.
May
2
comment Interpretation of probit regression results in Stata
You may find this useful.
May
2
comment Normalizing a Continuous Variable for Appropriate Use Alongside Binary Variables
Occasionally, having all the variables on a similar scale can helps with convergence, though that is not a statistical reason. The number of covariates does not alter this in any way. You should cite/quote what you have been reading in the body of your question so that I and others can offer a rebuttal.
May
2
comment Normalizing a Continuous Variable for Appropriate Use Alongside Binary Variables
I have not seen this requirement mentioned in any statistics or econometrics books that I own, so I cannot quote any particular source. Standardisation is useful when doing regularization, or to facilitate interpretation (for instance, to make the intercept meaningful or for comparing the coefficients of covariates expressed in different units). More broadly, other transformations (like logs or roots) can achieve a linear relationships with the logit of the dependent variable.
Apr
30
revised Normalizing a Continuous Variable for Appropriate Use Alongside Binary Variables
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Apr
30
answered Normalizing a Continuous Variable for Appropriate Use Alongside Binary Variables
Apr
29
comment Normalizing a Continuous Variable for Appropriate Use Alongside Binary Variables
What sort of model are you using? Sometimes this sort of normalization is necessary, sometimes it helps with interpretation or comparisons, but often it is superfluous.
Apr
29
comment How to test that two covariates have the same impact on dependent variable?
Can you convert them to standard deviations before running the regression?
Apr
29
comment Measuring efficiency with an interaction in a Tobit model?
@Joni When the ME is non-linear (as in 2 and 3 above), if you calculate it separately for each company type with over(t), you may get differences in MEs that are due to differences in other covariates if those vary by company type. Using the at() option makes the comparison more apples to apples, since you are holding some or all of those other differences constant.