Quantile regression with nonadditive fixed effects

By David Powell. Empirical Economics, 2022

438 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Health Professions

View Paper: https://www.semanticscholar.org/paper/5a98eb25dfbbaeaa5d7d69459ad955bec7f13394

How researchers see this paper

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In Economics and Econometrics

1. A. Gerged
2. Jorge E. Galán

In General Health Professions

1. A. Gerged
2. Jorge E. Galán

Citations in the corpus

• Factors affecting corporate environmental disclosure in emerging markets: The role of corporate governance structures (2020, methodology): “Table 8 presents the results of estimating Powell (2016) PQR model to examine the CG-WEDI nexus at quantiles range from 0.10 to 0.95.”
• The benefits are at the tail: Uncovering the impact of macroprudential policy on growth-at-risk (2020, background): “These types of models are flexible enough to provide quantile treatment effects, which are partially identified for fixed T (see Graham and Powell, 2012). 4 Alternatively, Powell (2016) proposes a quantile regression estimator for panel data with non-additive fixed effects that accounts for an arbit”