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point identification is achieved by assuming that g is a linear function of X. However, the assumption of linearity is … using the bootstrap. An empirical application illustrates the usefulness of shape restrictions for carrying out …
Persistent link: https://www.econbiz.de/10009761386
assumption of linearity is arbitrary. It is untestable if W is binary, as is the case in many applications. This paper explores …(g) can be carried out by using by using the bootstrap. An empirical application illustrates the usefulness of shape …
Persistent link: https://www.econbiz.de/10009554348
The aim of this paper is to provide simple nonparametric methods to estimate finitemixture models from data with repeated measurements. Three measurements suffice for the mixture to be fully identified and so our approach can be used even with very short panel data. We provide distribution...
Persistent link: https://www.econbiz.de/10010254835
In nonparametric instrumental variables estimation, the mapping that identifies the function of interest, g say, is discontinuous and must be regularised (that is, modified) to make consistent estimation possible. The amount of modification is contolled by a regularisation parameter. The optimal...
Persistent link: https://www.econbiz.de/10009760143
A parameter of an econometric model is identified if there is a one-to-one or many-to-one mapping from the population distribution of the available data to the parameter. Often, this mapping is obtained by inverting a mapping from the parameter to the population distribution. If the inverse...
Persistent link: https://www.econbiz.de/10009778441
We provide general compactness results for many commonly used parameter spaces in nonparametric estimation. We consider three kinds of functions: (1) functions with bounded domains which satisfy standard norm bounds, (2) functions with bounded domains which do not satisfy standard norm bounds,...
Persistent link: https://www.econbiz.de/10011412122
We propose an optimal-transport-based matching method to nonparametrically estimate linear models with independent latent variables. The method consists in generating pseudo-observations from the latent variables, so that the Euclidean distance between the model’s predictions and their matched...
Persistent link: https://www.econbiz.de/10012152500
Beta-sorted portfolios-portfolios comprised of assets with similar covariation to selected risk factors-are a popular tool in empirical finance to analyze models of (conditional) expected returns. Despite their widespread use, little is known of their statistical properties in contrast to...
Persistent link: https://www.econbiz.de/10014330367
Beta-sorted portfolios-portfolios comprised of assets with similar covariation to selected risk factors-are a popular tool in empirical finance to analyze models of (conditional) expected returns. Despite their widespread use, little is known of their econometric properties in contrast to...
Persistent link: https://www.econbiz.de/10015123509
Persistent link: https://www.econbiz.de/10003540208