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Title: acreg: Arbitrary Correlation Regression Introduction Motivation I

Citation Type: Miscellaneous

Publication Year: 2020

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Abstract: This Paper We introduce a new STATA package (and a companion paper) implementing the standard errors correction approach proposed in Colella et al. (2019): ACREG: Arbitrary Correlation Regression ˆ Computes adjusted standard errors for: - Spatial data (coordinates or contiguity matrix), - Network data (adjacency matrix), - Multi-way clustering environments (infinite list of clustering variables) ˆ Suits OLS and 2SLS settings ˆ Includes temporal correlation for panel data

Url: https://www.stata.com/meeting/switzerland20/slides/Switzerland20_Colella.pdf

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Authors: Colella, Fabrizio; Lalive, Rafael; Sakalli, Seyhun O; Thoenig, Mathias

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Data Collections: IPUMS NHGIS

Topics: Other

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