• Journal of Finance style file
• Journal of Finance bibtex style file
• JFE style file
• JFE bibtex style file
• Review of Financial Studies (RFS) style file
• Review of Financial Studies (RFS) bibtex style file

eststo clear
eststo: estpost tabstat var1 var2 var3, listwise statistics(mean sd) columns(statistics)

Saving to a tex file:

esttab using "../writing/tables/summary.tex", main(mean) aux(sd) nostar unstack nonote nomtitle nonumber replace label fragment

creates a tex file that starts with ‘hline.’ When combined with a tabular environment with the ‘\input’ command (here \input{tables/summary.tex}) you will get a “Misplaced \noalign” error. I found a partial solution online with some changes.

1. Add \makeatletter followed by \newcommand*\ExpandableInput[1]{\@@input#1 } to your header

2.  Make sure the header also has \makeatother as well

3.  Replace the \input command with \ExpandableInput{tables/summary.tex}

4.  If you want to end the table with more ‘hline”s, put a line break after the above command ‘\\’

“Simple” as that….

x = x(floor(rows(x)*rand(rows(x),1))+1,:); % bootstrap observations

Now we have a matrix with the same number of rows and columns, but with re-sampled data with replacement. A one line bootstrap! (Modified code from John Cochrane)

% File to connect to the server where my Matlab/data resides

% connect to the db
f = ftp(‘yourdomain.com’, ‘user’, ‘password’);

% change the directory
cd(f, ‘matlab’);

% now change the directory that we want to download the directory
cd ‘/’;

% Download the directory
mget(f, ‘remote_dir’);

% *****************
% INSERT PROGRAM HERE
% *****************

% when done move a directory here
cd ..
% now move the directory back to the server
mput(f, ‘remote_dir’);
disp(‘Files have been put back on the server’);

% close the connect
close(f);

\usepackage{bbm}

and in the text:

\mathbbm{1}\{ Something \}

Source.

removeCols <- function(data, cols){ return(data[,!names(data) %in% cols]) }

This function keeps columns of a data frame by name:

keepCols <- function(data, cols){
return(data[,names(data) %in% cols]) }

or just one function

colKeepRemove <- function(data, cols, remove=1){
if(remove == 1){ return(data[,!names(data) %in% cols]) }
else { return(data[,!names(data) %in% cols])  }}

firm_id,date,amount

and you want to create a new variable that is the total amount as of each date for each firm.  In Stata, you simply type:

sort firm_id date
bysort firm_id: gen total_t = sum(amount)

Note the use of ‘gen‘ rather than ‘egen.’ The ‘sum’ command differs by the type of generate command (i.e. gen or egen), so about 500 lines of loops written in Stata code could be condensed in a few lines.  Stata needs to fix the ‘egen’ and ‘gen’ distinction or I need to port more of my projects to R.

Regression Table with Multiple Equations and Stages

Here I run a couple of limited dependent variable models and a two-stage bivariate probit with an IV. The output isn’t perfect, but it works for pre-submission distribution.

The output looks like this:

Latex regression output from eststo

Summary statistics with a by variable

Next, consider summarizing the characteristics of two groups in your data. For example, I want to compare the age, number of boards seats and other features of venture capital spinoff founders to everyone else.

The output will look like this:

Found

The full details of the esttab, estpost and eststo have many more options and a lot of examples.

A very helpful subsciber presented a solution very similar to one that I mocked up. With some of the code posted on the Statalist and some new additions, I present odbc2create. UPDATE: I fixed an issue when dealing with a database with no dates and had to add a loop.

This modified odbc command does the following:

• searches all your variables for dates (they must be formatted as such or Stata’s ability to detect them is impossible)
• converts those dates to the YYYY-MM-DD format
• inserts the dates into your mysql database as strings
• re-types those date columns in the newly created database as DATEs

The best part: when you load a table created this way back into Stata, it immediately recognized the DATEs as dates.  I hope they build this functionality into Stata in the future.  One caveat (which may explain why they haven’t built it internally) is that the ALTER command in the ado file is specific to MySQL.  Someone should generalize the code to recognize the datasource engine and modify the ALTER command accordingly.