OKPRESERVE: Stata module to implement nested preserve and restore for data workflows

Vikrant V. Kamble ()
Additional contact information
Vikrant V. Kamble: University of Delaware

Statistical Software Components from Boston College Department of Economics

Abstract: okpreserve and okrestore provide a solution for managing complex, multi-level data transformations in Stata. These commands enable true nested preservation of data states, which is essential when your analysis involves multiple stages of data aggregation, filtering, and transformation. Unlike Stata's built-in preserve/restore, which do not support nesting, okpreserve/okrestore maintain a stack of saved data states. This allows you to work with different levels of data granularity within a single do-file.

Language: Stata
Requires: Stata version 19
Keywords: data management; preserve; restore (search for similar items in EconPapers)
Date: 2026-07-16
Note: This module should be installed from within Stata by typing "ssc install okpreserve]". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/o/okpreserve.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/o/okrestore.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/o/okpreserve.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/t/test_okpreserve.do program code (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s459799

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().