Bass Model Forecasting
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Transcript of Bass Model Forecasting
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Question 1. Suppose initial adoption of an innovation follows the bellshaped curve implied by the
Bass Model (BM). Suppose further that each adopter repeat purchases the innovation every 3
periods after initial adoption. Plot the sales curve for this innovation, i.e., unit sales versus time (if
necessary, you may assume p = 0.04, q = 0.4, M = 5 million). DATASET USED - 2B-BASSMODELPRELAUNCHFORECASTING.XLS
Since there is repeat purchase every 3 periods,
Sales in period N=Adoptions in period N+ Adoptions in period (N-3) + + Adoptions in period 1
E.g. Sales in period 7 = Adoptions in period 7 + Adoptions in period 4 + Adoptions in period 1
Plotting the adoptions from the calculated values, we find:
Figure: New adoptions per time period. Does not account for repeat purchase and hence not a sales curve
Figure: Indicates total sales per time period. Accounts for repeat purchase and hence is a sales curve
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SALES BY T IME PERIOD
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Question 2. Estimate the Generalized Bass Model (GBM) for VCRs using the provided data on
annual adoptions and prices. Employ the Nonlinear Least Squares (NLS) technique for this purpose
(you may use the OLS technique to obtain good starting values for p, q, M). Report the estimated
parameters: p, q, M and b. Interpret the coefficients qualitatively. Forecast the adoptions for the
next quarter (not next year) following the period of data.
In order to formulate the Generalized Bass Model for VCR sales, the following steps were
followed:
The data was used to find p, q and M using the OLS method.
The values obtained were used as base values for Solver to calculate the values for the NLS
method.
Parameters OLS Values NLS Values
p 0.009066 0.002584
q 0.707071 0.593173
M 62.625644 68.556014
b - -0.552455
Interpretations
The NLS value of p parameter is comparatively low. It indicates that innovation driven
adoption is low and slow. Therefore the time required for achieving peak adoption will be
long and slow.
The NLS value of q parameter is high which implies that imitation is high and that the
adoption curve of the sales would be flat.
The negative value of the b parameter is indicative of the fact that adoption of product has
high negative correlation with price. Adoption will be accelerated if there is a relatively small
drop in price.
Forecast for Next Quarter
To forecast for the next quarter, the parameters were altered accordingly by dividing p and q by
4 with the b and M values remaining the same. The altered quarterly parameters for forecasting
are outlined in the table below.
Assumption: The prices do not change from the 48th quarter to the 49th quarter (first quarter of the 13th year)
When the above values are substituted in Generalized Bass Model for VCRs the following
results was obtained: Total Sales (Quarter 49) 1.1797 Million Units
Parameter Quarterly NLS Values
p' 0.000646
q' 0.148293
M 68.556014
b -0.552455