*Dear all,
Please join us for the Applied Statistics Workshop (Gov 3009) this
Wednesday, October 3 from 12.00 - 1.30 pm in CGIS Knafel Room 354. Maximilian
Kasy <http://scholar.harvard.edu/kasy/>, Assistant Professor of Economics
from the Department of Economics at Harvard University, will give a
presentation entitled "Identification in General Triangular Systems". As
always, a light lunch will be provided.
Abstract:
This paper discusses identification in continuous triangular systems
without restrictions on heterogeneity or functional
form. In particular, we
do not assume separability of structural functions, restrictions on the
dimensionality of unobservables, or monotonicity in unobservables. We do
maintain monotonicity of the first stage relationship in the instrument. We
show that under this condition alone, and given rich enough support of the
data, we can achieve point identification of potential outcome
distributions, and in particular of the average structural function. If the
support of the continuous instrument is not large enough potential outcome
distributions are partially identified. If the instrument is discrete
identification fails completely. The setup discussed in this paper covers
important cases not covered by existing approaches such as conditional
moment restrictions (c.f. Newey and Powell, 2003) and control variables
(c.f. Imbens and Newey, 2009). It covers, in particular, random coe
fficient models, as well as models arising as the reduced form of a system
of structural equations.
An up-to-date schedule for the workshop is available at
http://www.iq.harvard.edu/events/node/1208.
Best,
Konstantin*
--
Konstantin Kashin
Ph.D. Candidate in Government
Harvard University
Mobile: 978-844-0538
E-mail: kkashin(a)fas.harvard.edu
Site:
http://www.konstantinkashin.com/<http://people.fas.harvard.edu/%7Ekkashi…