Recodes, dummy variables, and product terms can be generated temporarily within the program itself, so that the user will not have to create such variables before running a regression.

Ordinarily this program is invoked by the Web interface for the SDA programs, and the user does not have to deal with the keywords given in this document. Output from the program is in HTML, which can be viewed with a Web browser.

It is also possible to run the program directly by preparing a command file, which specifies the variables to be analyzed and the options to use. This document explains how to prepare such a file. The name of this batch command file is specified to the program after the ‘-b’ option flag.

Keyword Possible Specification Default (if no keyword) _____________________________________________________________________STUdy= path of dataset directory Look for variables in current directory only DEP= name of dependent variable REQUIRED INDep= names of independent vars REQUIRED (separated by spaces/commas) Weight= name of weight variable No weighting Filter= name(s) and codes of filter No filter variable(s) STRatum= name of variable giving No stratification for sample stratum computing standard errors $1: Force one stratum CLuster= name of variable giving No cluster variable for sample cluster computing standard errors NDECimals= number of decimals for main 3 decimal places results (coefficients, SE’s) SAvefile= filename to receive output Output sent to screen (overwrite existing file) (standard output) DUMMYgenmax= A number between 1 and 100 Max of 25 dummy vars can be (max dummy vars) generated by the "m:" syntax for a single categorical var GVARCase= LOWER or UPPER No force to lower/upper case

Keyword Possible Specification Default (if no keyword) _____________________________________________________________________COLORcoding= Yes No color coding of cells or colored headings LAnguagefile= Name of file with non-English English labels on labels and messages output RUNtitle= Title or comments for run No title or comments SHORTlist= Yes Output list of all independent variables TExt= Yes No text for variables

Note that the ‘otherstats=’ keyword can be repeated on subsequent lines if necessary.

Keyword Possible Specification Default (if no keyword) _____________________________________________________________________OTHERstats= TTests (ndec) No T-tests FTest (ndec) No Global F-test UNIvariate (ndec) No univariate stats BPRODuct (ndec) No B*coefficent stats CORel (ndec) No correlation matrix COVar (ndec) No covariance matrix COEFF (ndec) No covar of coefficients matrix CONF (90, 95, or 99) No confidence intervals (’CONF’ alone gives 95% CI)

For the other (optional) statistics, the default numbers of decimals are as follows:

- T-statistics and P-Values: 3 decimals
- Global F-test: 3 decimals
- Univariate statistics: 2 decimals
- B*Coefficient statistics: 2 decimals
- Correlation matrix: 2 decimals
- Covariance matrix: 2 decimals
- Covariance of coefficients matrix: 6 decimals

study = /sa/testdata dep = spend indep = age, educ gender savefile = myregress -----------------------------------

# and request descriptive text for the variables.

dep = spend indep = age(18-30) educ gender weight= wtvar filters= var21(1-3) var30(1) text = yes savefile = myregress -----------------------------------

dep = spend indep = age educ gender otherstats = ttests ftest(4) univar(3) correl(3) savefile = myregress

CSM, UC Berkeley

April 12, 2011