Challenges in Estimating Demand Plasticity - PowerPoint PPT Presentation

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Challenges in Estimating Demand Plasticity

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Challenges in Estimating Demand Plasticity. Dawit Mulugeta. Merchandising. AutoZone ... Estimate model coefficients - dependent variable is demand (D) ... – PowerPoint PPT presentation

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Title: Challenges in Estimating Demand Plasticity


1
Challenges in Estimating Demand Plasticity
  • Dawit Mulugeta
  • Merchandising
  • AutoZone
  • Manager, Merchandising Analysis

2
Elasticity - Definition
  • Responsiveness of demand to price change
  • Change in Demand / Change in Price
  • Demand Curve assume different shapes

3
Elasticity - Estimation using SAS
  • Point Estimate - SAS data step
  • Linear regression
  • Linear (Least Square Regression)
  • Estimate model coefficients - dependent variable
    is demand (D),
  • Independent variables price, lookup, demography,
    Y a bX e
  • F-Statistics, P-values, t-statistics, R2,
  • SAS Procedures Reg, Mixed, Autoreg, Glm,
  • Nonlinear regression
  • Variable reduction, parameter setup, estimation
  • SAS Procedures Model, Logistic, Genmod, Phreg,

4
Elasticity Point Estimate - SAS Data Step
  • Change in D / Change in P

(D2-D1)/((D2D1)/2) (P2-P1)/((P2P1)/2)
E
  • ELASTIC D and P change in opposite direction and
    E
  • INELASTIC D and P change in same direction and E
    -1

5
Elasticity Point Estimate SAS Data Step
-Results of a study consisting 60 product groups
  • Vary greatly across products
  • Lots of Positive values - Players other than
    pricing

6
Elasticity SAS Procedures - Results of a Study
  • The study had 6770 SKUS, and had three Steps
  • Extract / prepare data (bulk of the work)
  • Estimate coeff using SAS Autoreg / Mixed
    procedures
  • Characterize and classify items based on
    estimates
  • Step 1 Extract / prepare data (bulk of the work)

7
Elasticity SAS Procedures - Results of a Study
  • Step 2 Get coeff using SAS Autoreg / Mixed
    procedures

8
Elasticity SAS Procedures - Results of a Study
Step 3 Characterize items based on model
estimates
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