@inbook{05d71849922c452a819462035a87df39,
title = "Nonparametric Identification",
abstract = "Using a nonparametric model allows empirical researchers to more closely align their research design to economic theory and to obtain more robust results. We show the importance of nonparametric identification by contrasting it with parametric identification. In particular, we show the numerical instability of the estimated parameters in a model that is parametrically identified but fails to be nonparametrically identified, and we demonstrate this lack of identification with a proof.",
author = "Katherine Hauck and Tiemen Woutersen",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.",
year = "2026",
doi = "10.1007/978-3-031-97942-2\_11",
language = "English (US)",
series = "Advanced Studies in Theoretical and Applied Econometrics",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "197--206",
booktitle = "Advanced Studies in Theoretical and Applied Econometrics",
address = "Germany",
}