Business Rules

Question 1

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
your assignment.
1b. Load the the pacman package. Now use its function p_load to load the tidyverse package, i.e 

Question 2

Students are required to give two examples of business rules they have encountered in their work, school, or home experience that could be modeled with E-R or EER data model. Please explicitly identify how you can define these business rules in the ER or EER models. One of the two examples must be an example using subtype or supertype relationship.

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