In STATA one can estimate a linear regression using the command ` regress`

. In this post I will present how to use the STATA function `regress`

to run OLS on the following model

Continue reading Linear Regression in STATA

In STATA one can estimate a linear regression using the command ` regress`

. In this post I will present how to use the STATA function `regress`

to run OLS on the following model

Continue reading Linear Regression in STATA

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In a previous post, we discussed how to obtain clustered standard errors in R. While the previous post described how one can easily calculate cluster robust standard errors in R, this post shows how one can include cluster robust standard errors in stargazer and create nice tables including clustered standard errors.

Continue reading Cluster Robust Standard Errors in Stargazer

In a previous post, we discussed how to obtain robust standard errors in R. While the previous post described how one can easily calculate robust standard errors in R, this post shows how one can include robust standard errors in stargazer and create nice tables including robust standard errors.

Julia presents various ways to carry out linear regressions. In this post I will present how to use the native function *linreg()* to run OLS on the following model

In a former blog post (see here) I described how to read an Excel file into Julia. In this post I will focus on how to import an Excel file directly from the Web. This feature might be especially useful for recurring routines that rely on the most up-to-date data. Continue reading How to Read an Excel File dircetly form the Web in Julia Language?

A Venn diagram (also sometimes also called primary diagram or set diagram) is a diagram that depicts all possible logical relations between a collection of sets. Certain subjects, such as omitted variable bias, can be best be explained by using a Venn diagram. This post shows how to construct a Venn diagram in R.

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