Labor Dynamics Institute
Published December 14, 2017 | Version v1.0
Dataset Open

labordynamicsinstitute/rampnoise: Code for Multiplicative Noise Infusion

Authors/Creators

  • 1. Cornell University

Description

First proposed by Evans, Zayatz and Slanta (1998), multiplicative input noise infusion is used as a disclosure-avoidance measure. See also our implementation in the Quarterly Workforce Indicators (published in 2009, but first implemented in 2003). This repository illustrates noise infusion with some toy data.

Notes

Grant from the Alfred P. Sloan Foundation (G-2015-13903)

Files

labordynamicsinstitute/rampnoise-v1.0.zip

Files (748.3 kB)

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Additional details

Related works

Is supplement to
https://github.com/labordynamicsinstitute/rampnoise/tree/v1.0 (URL)

Funding

U.S. National Science Foundation
NCRN-MN: Cornell Census-NSF Research Node: Integrated Research Support, Training and Data Documentation 1131848