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Re: xtabond cheat sheet

Can I use it in a model where T > N?

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Re: Bayesian modeling: Beyond Stata’s built-in models

Hi,Great post!I was trying to go one step further, using your exampleI tried to predict/simulate the number of hours when hours=0I use the command:bayespredict {_ysim1} {_ysim2} if hours0==1,...

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Re: Customizable tables in Stata 17, part 3: The classic table 1

Hi @Gabriela Ortiz , thank you for your suggestion, I am waiting for the reply from Tech Support. I'm the same need of Eric and Michael. We all have binary response variables (Yes=1; No=0) in rows, and...

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Re: Customizable tables in Stata 17, part 3: The classic table 1

Hi @michaeldanarvig, I have to solve the same issue than you. Did you get with the solution? Thanks!

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Re: Vector autoregressions in Stata

Hi! One question. If i have two variables and 108 obs, should i use dfk option? Or is there a specific rule that should be followed? I ask this question because including dfk my model satisfies...

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Re: Unit-root tests in Stata

Hi,Is your graph of a random walk with a drift correct? A unit root repeats its previous values, which means that a drift is accumulated, rather than added independently at every time point. Is there...

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Re: An introduction to the lasso in Stata

Thanks for this nice description of the Lasso tools on stata. One question I have: why do you need to create a split sample at the beginning using:splitsample , generate(sample) split(.75 .25)...

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Re: Heteroskedasticity robust standard errors: Some practical considerations

Good article awesome and wonderful

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Re: Heteroskedasticity robust standard errors: Some practical considerations

At the risk of self-promotion, in https://www.ssc.wisc.edu/~b... I strongly recommend jackknife/HC3 standard errors, as HC1/HC2 have potentially unbounded bias and size. The same recommendation is made...

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Re: Heteroskedasticity robust standard errors: Some practical considerations

Hi Bruce,Thanks for sharing.I was interested in looking at what happened with "small" samples and heteroskedasticity in linear models.I started playing with some simulations and found that the...

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Re: Heteroskedasticity robust standard errors: Some practical considerations

Thanks a lot, very informative article. Just wondering if there are Bayesian equivalence of these "robust" standard errors?

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Re: Heteroskedasticity robust standard errors: Some practical considerations

True

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Re: Heteroskedasticity robust standard errors: Some practical considerations

Very formative, Thankyou!

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Re: Heteroskedasticity robust standard errors: Some practical considerations

Thanks Enrique. I found this very interesting indeed. With hindsight, my 2012 paper did not focus sufficiently on the number of regressors or on how they were generated (discrete vs. continuous), so it...

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Re: Heteroskedasticity robust standard errors: Some practical considerations

Thanks James. And thanks for all the work you have done in this area throughout your career. I think I could have added more variants of the wild bootstrap and indeed it would be interesting to see how...

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Re: Customizable tables in Stata 17, part 1: The new table command

The new tables command is wonderful. I'm stuck on one thing, the grand total.This command below produces a table with a row total and column total, but the grand total is missing.table ( sex race ) (...

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Re: Stata for Mac with Apple Silicon

We are the best expert in troubleshooting wavlink extenders setup and routers. If you are facing a problem regarding troubleshooting the extender and router, then you can go to our official website...

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Re: Customizable tables in Stata 17, part 1: The new table command

I received the answer on this from tech-support. Adding "_cons" to the totals() option fills in the the bottom right corner (grand total).

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Re: Customizable tables in Stata 17, part 2: The new collect command

Hello, i am trying to create a table of means of categorical variables by an exposure using the command: by EFcat: ci means anaemia diabetes high_blood_pressure sex smoking, totalI can see the table...

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Re: Structural vector autoregression models

Does anyone know why there is no value for under-diagonal relationships in irf when step = 0 even if we have declared the matrix A. Given matrix A, there should be contemporaneous impact of higher...

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