E303lect26F09

# E303lect26F09 - Collect Problem Set#7#8 Problem Set#9...

This preview shows pages 1–2. Sign up to view the full content.

October 26, 2009 Collect Problem Set #7/ #8 Problem Set #9 Posted – Due Friday Lecture 26 REVIEW___________________________________________________: III. Quantitative Demand Analysis c. Estimating Demand: Regression Analysis. Examples Example #2. Consider a regression with the log of data. lnQ i = 50 - .2 ln P i + .12ln A i (20) (.3) (.08) n = 12, R 2 = .68, - Interpret R 2 -. Does price alone explain movement in sales, Q i ? Notice finally, that we can make one further interesting insight with a log linear regression. Observe that η =-.2 Notice that two standard deviations about -.2 are not necessarily greater than zero. However, this interval does not include -1. Thus, we can conclude that we are on the inelastic portion of the demand curve. PREVIEW_________________________________________________ IV. Chapter 5. The Production Process and Costs A. Introduction: 1. Overview. 2. The Role of the Manager in the Production Process. B. The Production Function. 1 . Short Run Production. b. Relationships between Productivity Measures LECTURE__________________________________________________ IV. Chapter 5. The Production Process and Costs A. Introduction: 1. Overview. The purpose of this chapter is to provide tools allowing a manager to make better decisions about choosing which inputs to use in a production process, and what level of output to produce.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 3

E303lect26F09 - Collect Problem Set#7#8 Problem Set#9...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online