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UID:98d5a4012b37024521e8222c0e17d2b4
CATEGORIES:Seminars
CREATED:20180530T123017
SUMMARY:Lunch Seminar: Treb Allen - Dartmouth College 
DESCRIPTION;ENCODING=QUOTED-PRINTABLE:<p><strong><span style="font-size: 11pt; font-family: 'Calibri','sans-serif
 ';">The Geography of Path Dependence</span></strong><span style="font-size:
  11pt; font-family: 'Calibri','sans-serif';"> (joint with Dave Donaldson)</
 span></p><p><strong><span style="font-size: 11pt; font-family: 'Calibri','s
 ans-serif';">Abstract:</span></strong></p><p style="text-align: justify;"><
 span style="font-size: 11pt; font-family: 'Calibri','sans-serif';">How much
  of the distribution of economic activity today is determined by history ra
 ther than by geographic fundamentals? And if history matters, does it matte
 r much? We develop an empirical framework that enables answers to these que
 stions. Our model combines a workhorse model of trade subject to geographic
  frictions with an overlapping generations model of labor mobility also sub
 ject to spatial fractions. Both production and consumption potentially exhi
 bit local agglomeration and congestion externalities. We derive parameter c
 onditions, for arbitrary static and dynamic geographic scenarios, under whi
 ch equilibrium transition paths are unique and yet steady states may nevert
 heless be non-unique that is, where initial conditions (“history”) determin
 e long-run steady-state outcomes (“path dependence”). We then estimate the 
 model’s parameters (which govern the strength of agglomeration externalitie
 s and trade and migration frictions), by focusing on moment conditions that
  are robust to potential equilibrium multiplicity, using spatial variation 
 across US counties from 1800 to the present. At these parameter estimates o
 ur simulations - based on randomly reassigning the geographical incidence o
 f various shocks among members of similar regional clusters - imply the lon
 g arm of history has only small consequences for the distortions caused by 
 spatial path dependence.</span></p>
DTSTAMP:20260407T044535Z
DTSTART:20180607T130000Z
DTEND:20180607T140000Z
SEQUENCE:0
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