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STRDATE: Stata module to replace string date variables with numeric date variables with the same names

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Roger Newson () (National Heart and Lung Institute, Imperial College London)

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Abstract

strdate replaces a list of string date variables with a list of Stata numeric date variables having the same names, the same positions in the data set order, and the same variable labels (if present). The conversion is carried out using the Stata date() function. strdate is used when the user has input a generic ASCII data file produced by a spreadsheet, using the infile command, and the data file includes character-format date variables. The infile command converts these to string variables. The strdate command converts these to numeric date variables with the same names, dropping the old string variables. This saves the user the trouble of converting the variables one by one, inventing new names, and worrying about the order of variables in the data. The program strdate is written in Stata Version 7.

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File URL: http://fmwww.bc.edu/repec/bocode/s/strdate.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/s/strdate.hlp
File Format: text/plain
File Function: help file
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S417002.

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Programming language: Stata
Requires: Stata version 7.0
Date of creation: 05 Mar 2001
Date of revision: 23 Jul 2002
Handle: RePEc:boc:bocode:s417002

Note: This module may be installed from within Stata by typing "ssc install strdate". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
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For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: data manipulation;

Statistics
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This page was last updated on 2009-12-22.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.