Past Event

INET Post Doc/Research Talks: Joachim Mowinckel "Estimating Age, Period and Cohort effects on income inequality in the U.S.: a Maximum Entropy Approach"

A: I can't seem to shake off this tired feeling. Guess I'm just getting old. [Age effect]

B: Do you think it's stress? Business is down this year, and you've let your fatigue build up. [Period effect]

A: Maybe. What about you?

B: Actually, I'm exhausted too! My body feels really heavy.

A: You're kidding. You're still young. I could work all day long when I was your age.

B: Oh, really?

A: Yeah, young people these days are quick to whine. We were not like that. [Cohort effect]

 

The year you are in equals your year of birth plus your age: the three effects are linearly dependent. Therefore, it is fundamentally impossible to directly estimate the age, period and cohort effects on a dependent variable (such as tiredness) in a standard regression, Social scientists in different fields have tried to tackle the APC model in different ways. I present Browning et al’s Maximum Entropy method and apply it to disentangle the three effects on income inequality within cohorts in the US. I then discuss how to link this to overall cross sectional inequality. This is part of my M.Phil thesis in Economics, supervised by Eric Beinhocker and Ian Crawford.

 

 

Details:

30 April 2015 15:00 -


Location

INET Oxford

Eagle House, Walton Well Road, Oxford, OX2 6ED