Regression Analysis for Demand Estimation

1065 words 5 pages
Demand Estimation by Regression Method – Some Statistical Concepts for application ( All the formulae marked in red for remembering. The rest is for your concept)

In case of demand estimation working with data on sales and prices for a period of say 10 years may lead to the problem of identification. In such a case the different variables that may have changed over time other than price, may have an impact on demand more rather than price. In order to void this problem of identification what we adopt is the techniques of demand estimation through regression process in order to distinguish the effects of different variables on demand. In order to understand the basic working and application of the model, let us start with two variable
…show more content…

Test of Goodness of fit ( Coefficient of Determination)
In order to see whether the overall regression has been a good fit or not, we take the help of Coefficient of Determination, which is given as follows

(to be remembered) where the numerator is the explained variation in Y and denominator is the total variation ion Y. There is adjusted R2 as well which incorporates the degrees of freedom and is a more accurate measure of goodness of fit. (to be remembered). A higher R2 implies that the fit of the line is good to relate changes in X to changes in Y and the line is the good estimator of the relationship.

Multiple Regression Model
Here the number of explanatory variables may be more than one. There may be several variables that have an impact on demand. With one variable the coefficient of determination may be very less than with several variables. This explains why we shall estimate demand with several variables. In order to get a better fitness we shall include several variables that can lead to more accuracy. On the other hand this will lead to the problem of estimating more number of coefficients or parameters attached to these variables, thus degrees of freedom will get reduced. In order to solve this problem we shall have to work with a large number of data set or number of observations must increase. In case of a multiple regression model, instead of calculating the t- statistic to

Related

  • Otto's Consulting Report
    2137 words | 9 pages
  • The Financial Performance of Low-Cost and Full-Service Airlines in Times of Crisis
    8830 words | 36 pages
  • Eco 550 Week 5 Discussion 2 Eco550 Week 5 Discussion 2
    3831 words | 16 pages
  • Summary: Commercial Real Estate Analysis and Investment
    18586 words | 75 pages
  • AN EMPIRICAL ANALYSIS OF ENVIRONMENTAL IMPACT OF FOREIGN DIRECT INVESTMENT IN THE MINING SECTOR IN NIGERIA
    15801 words | 64 pages
  • Investment Essay on Breadtalk
    10061 words | 41 pages
  • Accounting
    7044 words | 29 pages
  • 1997 Asian Financial Crisis and Hyundai Motor Corp
    7104 words | 29 pages
  • Thesis on Capital Structure
    26839 words | 108 pages
  • Research Paper on Working Capital Management
    12125 words | 49 pages