Send the link below via email or IMCopy
Present to your audienceStart remote presentation
- Invited audience members will follow you as you navigate and present
- People invited to a presentation do not need a Prezi account
- This link expires 10 minutes after you close the presentation
- A maximum of 30 users can follow your presentation
- Learn more about this feature in our knowledge base article
Do you really want to delete this prezi?
Neither you, nor the coeditors you shared it with will be able to recover it again.
Make your likes visible on Facebook?
You can change this under Settings & Account at any time.
Transcript of Quantile Regression
Dept. of Agricultural Economics and Economics
Montana State University
email@example.com How do consumers valuate agricultural goods? Implicit value of characteristics Quality considerations Price Traditionally: Fully parameterize relationship between prices and quality considerations quantile regression Semi-parametric Quantile Regression Approach OLS
(conditional mean) QR
(conditional quantile) Fully parameterized Semi-parameterized Analyzing Bull Auctions Midland Bull Test 260 producers 262 buyers Simple Performance Measures Expected Progeny Difference Actual birth weight
Age at sale
Average daily gain
Residual feed intake
67% and 75% fractional interest indicators
Bull breed indicators Birth weight EPD
Intramuscular fat EPD
Rib-eye area EPD
Milk EPD Conclusions and Implications Consumers' quality considerations matter Fully parameterizing quality effects is difficult and can constrain inferences We find that quality considerations matter for bull buyers Understanding consumers' valuation of product characteristics across a quality spectrum can improve production and marketing decisions $ $ $ $ $