BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.2//
METHOD:PUBLISH
X-WR-CALNAME;VALUE=TEXT:TSE
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:STANDARD
DTSTART:20241027T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RDATE:20251026T030000
TZNAME:CET
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20250330T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:calendar.136931.field_date.0@www.tse-fr.eu
DTSTAMP:20260715T050037Z
CREATED:20250228T071002Z
DESCRIPTION:Whitney K. Newey (Massachusetts Institute of Technology)\, “Lin
 ear Estimation of Structural and Causal Effects for Nonseparable Panel Dat
 a”\, Econometrics and Empirical Economics Seminar\, TSE\, May 20\, 2025\, 
 15:30–16:50\, room Auditorium 4.\n\nThis paper develops linear estimators 
 for structural and causal parameters in nonparametric\,\nnonseparable mode
 ls using panel data. These models incorporate unobserved\, time-varying\,
 \nindividual heterogeneity\, which may be correlated with the regressors. 
 Estimation is based on\nan approximation of the nonseparable model by a li
 near sieve specification with individual-\nspecific parameters. Effects of
  interest are estimated by a bias corrected average of individual\nridge r
 egressions. We demonstrate how this approach can be applied to estimate ca
 usal effects\,\ncounterfactual consumer welfare\, and averages of individu
 al taxable income elasticities. We\nshow that the proposed estimator has a
 n empirical Bayes interpretation and possesses a number\nof other useful p
 roperties. We formulate Large-T asymptotics that can accomodate discrete\n
 regressors and which bypass partial identification in this case. We employ
  the methods to\nestimate average equivalent variation and deadweight loss
  for potential price increases using\ndata on grocery purchases.
DTSTART;TZID=Europe/Paris:20250520T163000
DTEND;TZID=Europe/Paris:20250520T175000
LAST-MODIFIED:20260113T095129Z
LOCATION:TSE\, May 20\, 2025\, 15:30–16:50\, room Auditorium 4
SUMMARY:Econometrics and Empirical Economics Seminar
URL;TYPE=URI:https://www.tse-fr.eu/seminars/2025-linear-estimation-structur
 al-and-causal-effects-nonseparable-panel-data
END:VEVENT
END:VCALENDAR