Lecture 1

Introduction - Who am I

  • Bachelor’s in actuarial science, 2013
    • Pricing actuary at Allstate until 2019
  • Software Engineer in financial risk management 2019-2020
  • 4th year PhD student in economics
    • Anticipated graduation next academic year
    • Current research in networks among boards of governors
  • 1150 ELO in Age of Empires 2
  • Married for 12 days

Introduction - Who Are You?

  • This is a small class - I should learn all of your names quickly
  • Name, major, year
  • Something interesting about yourself (Optional, but recommended)
    • Hobbies? Fun summer activities? Favorite math theorem?

Introduction - What is Econometrics

Source: Randall Munroe (xkcd)

Introduction - What is Econometrics

  • Historically, measurement for economists
    • Use data to construct supply/demand curves, elasticity, etc.
  • Current focus is causal analytics
    • Used for policy analysis. Used by many fields!
  • Mechanically, this class is about interpreting linear regression
    • And mostly about understanding its limitations

Syllabus Review

  • Office hours after class. If these times don’t work you can let me know and I should be able to accommodate most times.
  • Statistical software will be used in class and homework
  • Class participation via iclicker, and short weekly homework assignments
    • These are intended to be easy points to keep you engaged
  • This class is harder than what you’ve probably had in the past. You’ll need to pay attention in class to get an A/B
    • But it’s really not that hard if you actually try!

What is Econometrics - a motivating example

  • What is the effect of college education on income?
  • Will getting a masters degree after graduating increase your earnings by $13,000?

Motivating Example, major choice

  • Is the only difference the choice of major?

Motivating Example (continued)

  • Engineering majors are very different from history majors before entering a program

Introduction - What is Econometrics

  • What we want is the effect of college (or major) while holding all else constant (“Ceteris Paribus”)
  • Normally we can achieve this by a randomized control trial
    • Usually not practical or ethical
    • e.g. randomly exposing people to wildfire smoke

Introduction - What is Econometrics

  • Instead we make use of research designs that use “natural experiments”
    • For schools: lotteries for charter school attendance
    • For pollution: the direction that wind is blowing

Introduction - What is Econometrics

  • Our workhorse model is ordinary least squares (OLS) regression
    • We’re just fitting a line to data
    • The nuance lies in the interpretation
    • Building block of more advanced machine learning and AI