Lecture 10

# Lecture 10 - Variables used AGE WAGE LNWAGE Individuals age...

This preview shows pages 1–3. Sign up to view the full content.

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

View Full Document
2 Chart 2: distribution of log wage 0 20 40 60 80 100 1.0 1.5 2.0 2.5 3.0 3.5 4.0 Series: LNWAGE Sample 1 1000 Observations 1000 Mean 2.275496 Median 2.302585 Maximum 4.174387 Minimum 0.955511 Std. Dev. 0.563464 Skewness 0.077570 Kurtosis 2.640649 Jarque-Bera 6.383398 Probability 0.041102 Histogram for log wage Dependent Variable: LNWAGE Method: Least Squares Date: 07/19/05 Time: 11:39 Sample: 1 1000 Included observations: 1000 Variable Coef icient Std. Error t-Statistic Prob. C 0.600963 0.086381 6.957150 0.0000 GRADE 0.101660 0.005895 17.24648 0.0000 POTEXP 0.018615 0.001201 15.50227 0.0000 R-squared 0.303209 Mean dependent var 2.275496 Adjusted R-squared 0.301811 S.D. dependent var 0.563464 S.E. of regression 0.470818 Akaike info criterion 1.334304 Sum squared resid 221.0043 Schwarz criterion 1.349027
This is the end of the preview. Sign up to access the rest of the document.

## This note was uploaded on 03/07/2012 for the course ECON 201 taught by Professor Cowell during the Spring '10 term at LSE.

### Page1 / 5

Lecture 10 - Variables used AGE WAGE LNWAGE Individuals age...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online