Estimation of Censored Demand Equations from Large Cross-Section Data

By F. Perali, Jean-Paul Chavas. 2000

140 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Gender Studies, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/476cfe61d21a943fc923d28a6f405c4096b660bd

How researchers see this paper

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

In Economics and Econometrics

1. B. Lin
2. Steven T. Yen
3. Marc-Andreas Muendler
4. Sascha O. Becker
5. Emma C. Stephens
6. Christopher B. Barrett
7. L. Pieroni
8. David Aristei

In Gender Studies

1. Steven T. Yen
2. B. Lin

In Sociology and Political Science

1. Steven T. Yen
2. B. Lin

Citations in the corpus

• A Sample Selection Approach to Censored Demand Systems (2006, methodology): “Less efficient alternatives include the quasi-maximum likelihood estimator (Yen, Lin, and Smallwood 2003), the generalized method of moments estimator (Meyerhoefer, Ranney, and Sahn 2005), and a number of two-step estimators (Heien and Wessells 1990; Perali and Chavas 2000; Shonkwiler and Yen 1999).”