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README.md

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 # Differential-Privacy
 Replication Package for "A Practical Method to Reduce Privacy Loss when Disclosing Statistics Based on Small Samples"
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+Figures Replication
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+This folder contains the Stata code to reproduce figures 1 to 3 in “A Practical Method to Reduce Privacy Loss when Disclosing Statistics Based on Small Samples” by Chetty and Friedman (2019).
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+To run the code, please set the file paths in in the do-file all_figures_paper.do to the files contained in this replication package (tract_covariates.dta and tract_outcomes_early_dta_dp.dta). 
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+Implementation of Noise-Infusion Algorithm: Example Code
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+The sub-folder example_code_implementation_guide contains two examples of how to implement the noise-infusion algorithm outlined in the Appendix A of “A Practical Method to Reduce Privacy Loss when Disclosing Statistics Based on Small Samples” by Chetty and Friedman (2019). The three files in the sub-folder contain the following:
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+Example 1 – Simple regression coefficient as statistic of interest
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+Implementation_guide_simple_reg.do
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+Stata do-file showing a step-by-step example of how to apply the noise-infusion algorithm to publicly release the estimated coefficients of a simple regression estimate of child income rank on parent income rank in each of the cells of a simulated dataset.
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+Example 2 – Predicted value of Y at a certain value of X as statistic of interest
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+Implementation_guide_p_25_prediction.do
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+Stata do-file showing a step-by-step example of how to apply the noise-infusion algorithm to publicly release the predicted value of child income rank at the 25th percentile of the parental income distribution in each of the cells of a simulated dataset.
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+Dataset
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+private_data_by_cells.dta
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+Simulated dataset in Stata format containing information on child income rank and parent income rank of 10,000 fictitious individuals grouped in 111 cells.Variable names: parent_rank, kid_rank, cell.