• 2 Pages ch6_ee_dist_2
    Ch6_ee_dist_2

    School: Alabama

    Course: Econometrics

    Empirical Exercises for Chapter 6 In this exercise you will investigate the relationship between the number of completed years of education for young adults and the distance from their high school to the nearest four-year college. On the Web site you will

  • 1 Page ch7_ee_dist_2
    Ch7_ee_dist_2

    School: Alabama

    Course: Econometrics

    Empirical Exercises for Chapter 7 In this exercise you will investigate the relationship distance from college and education. 1. Discuss the internal validity of the regressions that you used to answer question 9 of the empirical exercise for Chapter 6. Y

  • 1 Page CollegeDistance_DataDescription
    CollegeDistance_DataDescription

    School: Alabama

    Course: Econometrics

    Documentation for CollegeDistance Data These data are taken from the HighSchool and Beyond survey conducted by the Department of Education in 1980, with a follow-up in 1986. The survey included students from approximately 1100 high schools. The data used

  • 2 Pages Exercises on IV Estimation Griliches
    Exercises On IV Estimation Griliches

    School: Alabama

    Course: Econometrics

    Empirical Exercises (IV Estimation) We will estimate the type of the wage equation estimated by Grilliches using an extract from the NLS-Y used by Blackburn and Neumark (1992). The NLS-Y is panel data, with the same set of young men surveyed at several po

  • 72 Pages Lecture1_ch4_slides_1
    Lecture1_ch4_slides_1

    School: Alabama

    Course: Econometrics

    Introduction to Linear Regression (SW Chapter 4) EC 471 Spring 2004 4-1 Warming Up Think about an empirical question: Class size and educational output Policy question: What is the effect of reducing class size by one student per class? by 8 students/clas

  • 45 Pages lecture2_ch5_slides_1
    Lecture2_ch5_slides_1

    School: Alabama

    Course: Econometrics

    Multiple Regression (SW Chapter 5) EC 471 Spring 2004 5-1 Multiple Regression There are more than one variables. k = # of regressors Marginal effects are partial effects after controlling for the effects of other variables. When control variables are omit

  • 58 Pages lecture3_ch6_slides_1
    Lecture3_ch6_slides_1

    School: Alabama

    Course: Econometrics

    Lecture 3 Nonlinear Regression Functions (SW Ch. 6) EC 471 6-1 Nonlinear Regression Functions Everything so far has been linear in the Xs o Is the salary increasing at the same rate every year? o Some variables increase/decrease at an increasing rate. Pr

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