Economics 105: Statistics

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Economics 105: Statistics Go over GH 22 GH 23 due Monday Individual Oral Presentations … see RAP handout. Dates are Tue April 24 th and Thur April 26 th in lab. But we can’t fit them all into 75 minutes … so extra sessions to be announced.

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Economics 105: Statistics. Go over GH 22 GH 23 due Monday Individual Oral Presentations … see RAP handout. Dates are Tue April 24 th and Thur April 26 th in lab. But we can’t fit them all into 75 minutes … so extra sessions to be announced. . - PowerPoint PPT Presentation

Transcript of Economics 105: Statistics

Page 1: Economics 105: Statistics

Economics 105: Statistics• Go over GH 22• GH 23 due Monday• Individual Oral Presentations … see RAP handout. Dates are Tue April 24th and Thur April 26th in lab. But we can’t fit them all into 75 minutes … so extra sessions to be announced.

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• Consider a change in X1 of ΔX1

• X2 is held constant!• Average effect on Y is difference in pop reg models

• Estimate of this pop difference is

Average Effect on Y of a change in X in Nonlinear Models

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Example

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Example

• What is the average effect of an increase in Age from 30 to 40 years? 40 to 50 years?• 2.03*(40-30) - .02*(1600 – 900) = 20.3 – 14 = 6.3• 2.03*(50-40) - .02*(2500 – 1600) = 20.3 – 18 = 2.3

• Units?!

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http://xkcd.com/985/

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Example

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Example

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Log Functional Forms• Linear-Log

• Log-linear

• Log-log

• Log of a variable means interpretation is a percentage change in the variable

• (don’t forget Mark’s pet peeve)

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Log Functional Forms

• Here’s why: ln(x+x) – ln(x) =

calculus:

• Numerically: ln(1.01) = .00995 = .01

ln(1.10) = .0953 = .10 (sort of)

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Linear-Log Functional Form

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Linear-Log Functional Form

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Log-Linear Functional Form

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Log-Linear Functional Form

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Log-Log Functional Form

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Log-Log Functional Form

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Examples

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Examples

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Examples

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Examples

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Dummy Variables• A dummy variable is a categorical explanatory

variable with two levels:– yes or no, on or off, male or female– coded as 0’s and 1’s

• Regression intercepts are different if the variable is significant

• Assumes equal slopes for other explanatory variables• If more than two categories, the number of dummy

variables included is (number of categories - 1)

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Dummy Variable Example (with 2 categories)

• E[ GPA | EconMajor = 1] = ?• E[ GPA | EconMajor = 0] = ?• Take the difference to interpret EconMajor