Using confidential data to publish statistics based on small samples is challenging due to privacy loss. This column introduces a simple method for dealing with this issue which adds noise to each statistic in proportion to its sensitivity to the addition or removal of a single observation from the data. The method generally outperforms widely used methods of disclosure limitation such as count-based cell suppression both in terms of privacy loss and statistical bias. As an illustration, the method is used to release estimates of social mobility by Census tract in the Opportunity Atlas.
Raj Chetty, John Friedman, 18 April 2019
Related
-
Andrew Bernard, Andreas Moxnes, Karen Helene Ulltveit-Moe
Most Read
-
Hötte, Somers, Theodorakopoulos
-
Doepke, Hannusch, Kindermann, Tertilt
-
Harrison
-
Hartmann, Leonello, Manganelli, Papoutsi, Schnabel, Sigaux
-
Attinasi, Gerinovics, Gunnella, Mancini, Metelli
-
Burgess, Sievertsen
-
Eichengreen, O'Rourke
-
Mitze, Kosfeld, Rode, Wälde
-
Heldring, Robinson
-
Allen
Blogs&Reviews
-
Carraro, Cœuré, Dhand, Eichengreen, Mills, Rey, Sapir, Schwarzer
-
Evenett
-
Fullerton, Levinson
-
Hoffmann, Moench, Pavlova, Schultefrankenfeld
-
Reichlin, Adam, McKibbin, McMahon, Reis, Ricco, Weder di Mauro
Events
-
5 - 15 July 2022 / Warwick/Coventry / University of Warwick
-
6 - 6 July 2022 / Online & On ESMT Berlin campus, Schlossplatz 1, 10178 Berlin / ESMT Berlin and CEPR
-
11 - 13 July 2022 / / National Council of Applied Economic Researach (NCAER)
-
13 - 13 July 2022 / / CEPR and WIPO
-
8 - 19 August 2022 / Online / Harvard Kennedy School Executive Education
CEPR Policy Research
-
Gobillon, Solignac
-
Giglio, Maggiori, Stroebel, Weber
-
Summers, Fatás
-
Favero, Galasso
-
Butt, Churm, McMahon, Morotz, Schanz
-
Eichengreen, Avgouleas, Poiares Maduro, Panizza, Portes, Weder di Mauro, Wyplosz, Zettelmeyer
-
Baldwin, Beck, Bénassy-Quéré, Blanchard, Corsetti, De Grauwe, den Haan, Giavazzi, Gros, Kalemli-Ozcan, Micossi, Papaioannou, Pesenti, Pissarides , Tabellini, Weder di Mauro
-
Baldwin, Nakatomi
-
Thimann
-
Goodhart, Perotti