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From |
"P. Wilner Jeanty" <pwjeanty@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Three new packages: labcenswdi - spseudor2 - and hlp2html available for download from SSC |

Date |
Sun, 5 Dec 2010 22:22:30 -0500 |

Dear All, Thanks to Kit Baum, three new packages, -labcenswdi-, -spseudor2-, and -hlp2html-, are now available for download from SSC. -labcenswdi- manages automatically datasets extracted from databases providing variable descriptions on the second row. Such databases include, but not limited to, the World Development Indicators (WDI), the US Census 2000 Summary Files, and the American Community Survey. -labcenswdi- gets its name after two of these three databases. While renaming variables with the user's specified variable names, -labcenswdi- manages the variable descriptions including removing them from the second row to place them into Stata variable labels, reducing their length to 80 characters or less, and saving them to a text file. The new variable names should be supplied in newvarlist (see syntax) if the user elects to replace the original variable names with more meaningful names. Note that WDI datasets to be used by -labcenswdi- must be extracted in long form with countries or time in rows and series in columns. Such datasets are not to be reshaped. But, you might be wondering how -labcenswdi- differs from -wdireshape-. The former does not outdate nor supersede the latter. If your desired data structure is that of a panel, then extract WDI data in a form to be used by -labcenswdi-. Otherwise, extract the data in a form to be used by -wdireshape- . Remember that -wdireshape-requires that you extract WDI data with series or countries in rows and time in columns. -spseudor2- calculates two so-called pseudo R2 measures to assess goodness of fit in spatial autoregressive models estimated by spatial two stage least squares or spatial GMM. The first measure is computed as the square of the coefficient of correlation between the predicted and observed values of the dependent variable. The other measure is calculated as the ratio of the variance of the predicted values to the variance of the observed values of the dependent variable. In calculating the predicted values of the dependent variable, -spseudor2- takes into account the fact that the spatially lagged dependent variable is endogenous. -spseudor2- is intended to work after -ivregress- and -ivreg29- and requires at least Stata 10.1. -hlp2html- converts a list of Stata help files to html format and relies heavily on -log2html- written by Baum, Cox, and Rising to provide you with more options. Thus, -log2html- must be installed for - hlp2html- to work. If you know the names of a few help files you want to convert, you can just list them using the -fnames()- option. However, you might want Stata to find help files from a folder, convert them to html format, and save the html files to a another folder. For example, if you want to convert all help files located in the C:\ado\plus\s folder (in Windows platform) and place the html files in a folder called C:\data\html, you code: // Begin code mata: mkdir("C:\data\html"); chdir("C:\data\html") hlpfiles= dir("C:\ado\plus\s", "files", "*.*hlp"); cmdnames = substr(hlpfiles, 1, (strpos(hlpfiles,".") :- 1)) for (j=1; j<=rows(cmdnames); j++) { stata("quietly hlp2html, fnames(" + cmdnames[j]+ ") erase scheme(black)") // you can add more options here } end // End code Regards, Wilner ------------------------------ P. Wilner Jeanty Research Economist Dept. of Agricultural, Environmental, and Development Economics The Ohio State University 2120 Fyffe Road Columbus, Ohio 43210 (614) 292-6382 (Office) * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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