We provide a nonparametric revealed preference approach to demand analysis based on homothetic efficiency. Homotheticity is widely assumed (often implicitly) because it is a convenient and often useful restriction. However, this assumption is rarely tested, and data rarely satisfy testable conditions. To overcome this, we provide a way to estimate homothetic efficiency of consumption choices. The method provides considerably higher discriminatory power against random behavior than the commonly used Afriat efficiency. We use experimental and household survey data to illustrate how our approach is useful for different empirical applications and can provide greater predictive success.

Additional Metadata
Persistent URL dx.doi.org/10.1080/07350015.2017.1319372, hdl.handle.net/1765/101362
Journal Journal of Business and Economic Statistics
Citation
Heufer, J, & Hjertstrand, P. (Per). (2017). Homothetic Efficiency: Theory and Applications. Journal of Business and Economic Statistics, 1–13. doi:10.1080/07350015.2017.1319372