How do you estimate price elasticity and its uncertainty?
In a log-log model, the coefficient on log price is a constant elasticity conditional on included variables. Without a credible design it remains associational and may be biased by price endogeneity.
Direct answer
Estimate conditional sensitivity with interval and diagnostics.
In a log-log model, the coefficient on log price is a constant elasticity conditional on included variables. Without a credible design it remains associational and may be biased by price endogeneity.
ln(Q) = α + β ln(P) + γX + εESTIMAND
Estimation profile
- Unit of analysis
- Market × product × period or scenarioControlled scientific terminology
store × product × period - Exact estimand
βprice in a declared demand model- Model or deliverable
ln(Q) = α + β ln(P) + γX + ε
01—08
Verifiable analysis framework
- 01Question
How do you estimate price elasticity and its uncertainty?
- 02Estimand
βprice in a declared demand model · store × product × period
- 03Data
quantity · price · promotion · seasonality · store_product
- 04Model or deliverable
ln(Q) = α + β ln(P) + γX + ε
- 05Declared calculation
ln(Q) = α + β ln(P) + γX + ε → βprice in a declared demand model
- 06Uncertainty checks
Price variation · Endogeneity · Robust or clustered interval
- 07Method-specific validation
Check data, estimate stability and interpretation limits. Price variation · Endogeneity · Robust or clustered interval
- 08Limitations
Automatically infer the causal optimal price.
Required variables
quantitypricepromotionseasonalitystore_product
Checks · Controlled scientific terminology
- Price variation
- Endogeneity
- Robust or clustered interval
Estimate conditional sensitivity with interval and diagnostics.
Automatically infer the causal optimal price.
Scientific sources
1 source
Dataset · Tool
Method connections