R: Leave-Out Variance Component Estimation for Two-Way Fixed Effects Models

# Leave-Out Variance Component Estimation for Two-Way Fixed Effects Models

## Documentation for package ‘LeaveOutKSS’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

build_adj | Build a Firm-to-Firm Mobility Adjacency Matrix
connected_set | Restrict a Panel to Its Largest Connected Set of Firms
fast_fe_est | Fit a One-Way or Two-Way Fixed Effects Model
kss_quadratic_form | Evaluate Plug-In and Kline, Saggio, and Solvsten (KSS)-Corrected Quadratic Forms
leave_out_KSS | Leave-Out Bias-Corrected Variance Decomposition in a Two-Way Fixed Effects Model
leave_out_KSS_fe | Leave-Out Bias-Corrected Decomposition with Internally Expanded Fixed-Effect Controls
leverages | Compute Statistical Leverages and Bias Terms
leverages_parallel | Parallel Computation of Statistical Leverages and Bias Terms
lincom_KSS | Linear Projections of Estimated Firm Effects with Kline, Saggio, and Solvsten (KSS) Standard Errors
print.fast_fe_est_result | Print a Fixed Effects Fit Result
print.leave_out_kss_result | Print a LeaveOutKSS Decomposition Result
print.lincom_kss_result | Print a Lincom Result
print.rsquared_comp_result | Print an R-Squared Comparison Result
pruning_unbal_v3 | Prune to a Leave-One-Worker-Out Connected Set
rsquared_comp | Compare Two-Way Fixed Effects and Saturated-Model R-Squared Values
sigma_for_stayers | Approximate Leave-Out Variance Terms for Stayers
strongc_set | Restrict a Panel to Firms Above a Minimum Graph Degree Threshold
summary.leave_out_kss_result | Summarize a LeaveOutKSS Decomposition Result