Microdata Infrastructure Tools for Firm-Level Microdata Research R package mditools version 0.1.0 Supports the full analysis pipeline for researchers working with firm-level microdata. Provides data tools for panel preparation (import, outlier detection, classification harmonization), analytical methods (production function estimation, capital stock measurement, markups, intensity measures, distributions, regression, clustering), and disclosure tools for tagging outputs with dominance and observation counts before aggregation and publication. Production function estimation implements methods by Ackerberg, Caves and Frazer (2015) <doi:10.3982/ECTA13408>, Levinsohn and Petrin (2003) <doi:10.1111/1467-937X.00246>, Wooldridge (2009) <doi:10.1016/j.econlet.2009.04.026>, Petrin, Poi and Levinsohn (2004) <doi:10.1177/1536867X0400400202>, and Arellano and Bond (1991) <doi:10.2307/2297968> with the "too many instruments" correction by Roodman (2009) <doi:10.1111/j.1468-0084.2008.00542.x>. Markup estimation follows De Loecker and Warzynski (2012) <doi:10.1257/aer.102.6.2437>. Cost-share production function estimation follows Basu and Fernald (1997) <doi:10.1086/262073>. Capital stock estimation via the Perpetual Inventory Method follows OECD (2009) <doi:10.1787/9789264068476-en>. Software Imports: data.table, fixest, haven, readxl, Matrix, cluster, dbscan, mclust, stats, utils, graphics, grDevices Suggests: testthat (>= 3.0.0), arrow Johanna Weiss <johanna.weiss@iwhesl.onmicrosoft.com> Comprehensive R Archive Network (CRAN) Daniele Aglio [aut], Eric Bartelsman [aut], Mirja Hälbig [aut], Marco Miorandi [aut], Johanna Weiss [aut, cre], Alessandro Zona Mattioli [aut], Julián Díaz-Acosta [ctb], Alberto Ferreira [ctb], Javier Miranda [ctb], Marcelo Piemonte Ribeiro [ctb], Reetuparna Vishwanath [ctb], Chengzi Yi [ctb] GPL-3 2026-08-20 application/tgz https://CRAN.R-project.org/package=mditools doi:10.32614/CRAN.package.mditools