In order to get the maximum points, each student MUST answer the discussion question substantively and provide an example that demonstrates his or her understanding of the material. Substantially answering each question means using AT LEAST six (6) detailed sentences.
In addition, each student must respond to AT LEAST two other student’s postings in the Discussion Forum using AT LEAST six (6) detailed sentences.
Students SHOULD NOT agree or compliment other students, as this will not count towards their grade.
APA referencing IS NOT required.
1. Provide an overview of FBI Criminal Investigative Analysis and describe why motivation is important to its methodology. Be specific.Attachment preview
Problem Set 1: OLS Review
EC 421: Introduction to Econometrics
README! The data
in this problem set come from the paper “Are Emily and George More Employable
than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination” by Bertrand and Mullainathan (published in the American Economic Review (AER) in 2004). ††
In their (very influential) paper, Bertrand and Mullainathan use a clever experiment to study the effects of race in labor-market decisions by sending fake résumés to job listings. To isolate the effect of race on employment decisions, Bertrand and Mullainathan randomize whether the résumé lists a typically African-American name or a typically White name.
OBJECTIVE This problem set has three purposes: (1) reinforce the econometrics topics we reviewed in class; (2) build your R toolset; (3) start building your intuition about causality within econometrics.
Problem 1: Getting started
Start here. We’re going to set up R and read in the data
1a. Open up RStudio, start a R new script (File ? New file ? R Script). You will hand in this script as part of
1b. Load the the pacman package. Now use its function p_load to load the tidyverse package, i.e