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Identification via completeness for discrete covariates and orthogonal polynomials

Kovchegov, Yevgeniy; Yıldız, Neşe - 2012

We solve a class of identification problems for nonparametric and semiparametric models when the endogenous covariate … identification of structural functions is guaranteed to hold, our approach provides a natural way of estimating these functions …

Persistent link: https://www.econbiz.de/10010500201

Concave-monotone treatment response and monotone treatment selection: With an application to the returns to schooling

Okumura, Tsunao; Usui, Emiko - 2010

This paper identifies sharp bounds on the mean treatment response and average treatment effect under the assumptions of both concave monotone treatment response (concave-MTR) and monotone treatment selection (MTS). We use our bounds and the US National Longitudinal Survey of Youth to estimate...

Persistent link: https://www.econbiz.de/10010271388

Quasiconcave Preferences and Choices on a Probability Simplex – A Nonparametric Analysis

Heufer, Jan - 2010

A nonparametric approach is presented to test whether decisions on a probability simplex could be induced by quasiconcave preferences. Necessary and sufficient conditions are presented. If the answer is affirmative, the methods developed here allow to reconstruct bounds on indifference curves....

Persistent link: https://www.econbiz.de/10010271393

Simulation and Estimation of Hedonic Models

Heckman, James Joseph; Matzkin, Rosa Liliana; Nesheim, Lars - 2003

semiparametric estimation and identification of scalar additive hedonic models (Ekeland, Heckman, and Nesheim, 2002) and scalar …

Persistent link: https://www.econbiz.de/10010275775

Instrumental variable models for discrete outcomes

Chesher, Andrew - 2009

model and sharp set identification is demonstrated. Point identification is typically not achieved by imposing parametric …

Persistent link: https://www.econbiz.de/10010288441

Improved output gap estimates and forecasts using a local linear regression

Fritz, Marlon - In: International economics : a journal published by CEPII … 172 (2022), pp. 157-167

Persistent link: https://www.econbiz.de/10014339408

Nonparametric prediction for univariate spatial data : methods and applications

Arancibia, Rodrigo García; Llop, Pamela; Lovatto, Mariel - In: Papers in regional science : the journal of the … 102 (2023) 3, pp. 635-672

Persistent link: https://www.econbiz.de/10014342459

GoodsForecast second-place solution in M5 Uncertainty track : combining heterogeneous models for a quantile estimation task

Mamonov, Nikolay; Golubyatnikov, Evgeny; Kanevskiy, Daniel - In: International journal of forecasting 38 (2022) 4, pp. 1434-1441

Persistent link: https://www.econbiz.de/10014381103

Measuring and explaining efficiency of pre-vaccine country responses to COVID-19 pandemic : a conditional robust nonparametric approach

Kuchenbecker, Arthur S.; Torrent, Hudson S.; … - In: Empirical economics : a quarterly journal of the … 68 (2025) 1, pp. 107-137

Persistent link: https://www.econbiz.de/10015193731

Advances in Applied Econometrics : Celebrating Peter Schmidt's Legacy

Kumbhakar, Subal (ed.); Sickles, Robin C. (ed.); … - 2024

. Identification and Estimation of Categorical Random Coefficient Models -- Chapter 6. Dynamic Panel GMM Estimators with Improved …

Persistent link: https://www.econbiz.de/10015177955