R: Microdata Infrastructure Tools for Firm-Level Microdata Research

# Microdata Infrastructure Tools for Firm-Level Microdata Research

## Documentation for package ‘mditools’ version 0.1.0

- DESCRIPTION file
- Package README

## Help Pages

mditools-package | mditools: Microdata Infrastructure Tools for Firm-Level Microdata Research
mditools | mditools: Microdata Infrastructure Tools for Firm-Level Microdata Research
mdi_acf_prodest | ACF Production Function Estimation
mdi_aggregate | Generic Aggregation Function
mdi_clustering | Clustering
mdi_cs_prodest | Cost-Shares Production Function Estimator (Cobb-Douglas)
mdi_disclose_crit | Add Disclosure Criteria to Aggregated Data
mdi_disclose_reg_tab | Disclosure Check and Masking for Regression Tables
mdi_dpgmm_prodest | Arellano-Bond Difference-GMM Production Function Estimator
mdi_estimate_markup | Estimate Firm-Level Markup
mdi_estimate_prodfun | Estimate production functions with multiple estimators (panel, by-group)
mdi_hier_apply | Hierarchical Aggregation of Data
mdi_import_data | Import Data into R data.table
mdi_intensity | Compute Technology Adoption Intensity via Probit Propensities
mdi_jointdist | Calculate Joint Distributions
mdi_lp_prodest | Levinsohn-Petrin (2003) Production Function Estimator
mdi_make_conc | Harmonize a Classification Over Time
mdi_ols_prodest | OLS Production Function Estimator
mdi_outlier | Outlier Routine for Data Cleaning
mdi_pim_capital | Estimate Capital Stock Using Perpetual Inventory Method (PIM)
mdi_regress | Weighted Regression with Automatic Disclosure Check
mdi_transition | Count Classification Switches Between Consecutive Periods
mdi_wdrg_prodest | Wooldridge (2009) System-GMM Production Function Estimator