Identification and information in monotone binary models

By T. Magnac, Eric Maurin. 2007

99 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/fa4f0193aa1d83d6487b3f66a531d924974f5c77

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In Statistics and Probability

Citations in the corpus

The Value of Working Conditions in the United States and Implications for the Structure of Wages (2018, background): “To the extent that this range is too small to capture the full distribution of valuations for the job characteristic, Magnac and Maurin (2007) shows that there is no bias if the tails of the distribution are symmetric where the “tails” of the distribution are the parts that are not captured by the s”
Irregular Identification, Support Conditions, and Inverse Weight Estimation (2010, result): “This is similar to results in Magnac and Maurin (2005) (we view this property”
Identification in Differentiated Products Markets Using Market Level Data (2010, unknown): “Examples include Lewbel (2000), Honoré and Lewbel (2002), Hong and Tamer (2004), Blundell and Powell (2004), Lewbel (2005), and Magnac and Maurin (2007).”
A Simple Estimator for Binary Choice Models with Endogenous Regressors (2015, methodology): “Third, the special regressor needs to be continuously distributed with a large support, though this last condition can sometimes be relaxed (see Magnac and Maurin 2007, 2008).”
The random coefficients logit model is identified (2012, background): “Magnac and Maurin (2007) and Kahn and Tamer (2010), however, argue that random coefficients and the conditional distribution of the composite error x′j (βi − E [βi | x]) + i,j .”
Partial Identification in Monotone Binary Models: Discrete Regressors and Interval Data (2008, methodology): “+1: This result was obtained by Magnac and Maurin (2007) when v is continuous.”