Semiparametric Censored Regression Models

By K. Chay, J. Powell. 2001

215 citations recorded by the source corpus.

Subfields: Education, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/375e2544e346d3919fe82c19dbdd724b17aa7c10

How researchers see this paper

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In Education

1. M. Araujo
2. S. Bushway
3. Antonio F. Galvao
4. Carlos Lamarche
5. L. Lima
6. Norbert R. Schady

In Sociology and Political Science

1. Brian David Johnson
2. S. Bushway
3. Jeffery T. Ulmer
4. L. Slocum
5. Norbert R. Schady
6. M. Araujo
7. Antonio F. Galvao
8. Carlos Lamarche

Citations in the corpus

• Is the Magic Still There? The Use of the Heckman Two-Step Correction for Selection Bias in Criminology (2007, background): “These limitations include restrictive normality assumptions regarding the dependent variable (Chay and Powell 2001; Chesher and Irish 1987) restrictive homoskeasticity assumptions regarding error terms (Wooldridge 2005), and the key assumption that the effects of independent variables are constant f”
• Cash transfers, conditions, school enrollment, and child work: evidence from a randomized experiment in Ecuador (2006, background): “CLAD models only require that the error term be symmetrical (Powell 1984; 1986; Chay and Powell 2001), although they tend to be relatively imprecise.”
• Environmental Policy and Directed Technological Change: Evidence from the European Carbon Market (2012, unknown): “The analogous maximum likelihood estimator will likewise generally be inconsistent, especially when applied to panel data (Chay and Powell, 2001).”
• Estimating the gravity model when zero trade flows are frequent and economically determined (2015, unknown): “Semi-parametric models (Chay and Powell 2001) avoid specifying a distribution for the residuals, sometimes at the expense of computational efficiency, and estimate parameters using methods such as Powell’s (1984) Censored Least 10 Absolute Deviations (CLAD) model.”
• Estimation of Censored Quantile Regression for Panel Data With Fixed Effects (2013, methodology): “Chen and Khan (2008) consider an estimation procedure for median censored regression models that is robust to non-stationary errors in the longitudinal data context and group member specific errors in the group data context. Wang and Fygenson (2009) develop inference procedures for a QR panel data m”