Binary Response Models: Logits, Probits and Semiparametrics

By Joel L. Horowitz, Nathan Eugene Savin. 2001

287 citations recorded by the source corpus.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c8e9dbd2b40c6d69bfb2467e636eebefa7d2af7a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. P. Böckerman

Citations in the corpus

• The Impact of Mixed Land Use on Residential Property Values (2012, unknown): “…lead to the so-called “curse of multidimensionality”: estimation precision rapidly deteriorates when the number of explanatory variables increases (Horowitz and Savin, 2001; Bontemps, Simoni, and Surry, 2008; McMillen, 2010) Using few explanatory variables is not an option as this will lead to…”
• The Cost of High-Powered Incentives: Employee Gaming in Enterprise Software Sales (2014, unknown): “Horowitz and Savin (2001) provide a good review of the assumptions underlying this technique.”
• Perception of Job Instability in Europe (2004, methodology): “20 Horowitz and Savin (2001) provide a survey of binary response models.”