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Nonparametric identification of random coefficients in endogenous and heterogeneous aggregate demand models
This paper studies nonparametric identification in market level demand models for
differentiated products with heterogeneous consumers. We consider a general class of …
differentiated products with heterogeneous consumers. We consider a general class of …
Nonparametric identification of random coefficients in aggregate demand models for differentiated products
This paper studies nonparametric identification in market-level demand models for
differentiated products with heterogeneous consumers. We consider a general class of …
differentiated products with heterogeneous consumers. We consider a general class of …
A sliced Wasserstein and diffusion approach to random coefficient models
We propose a new minimum-distance estimator for linear random coefficient models. This
estimator integrates the recently advanced sliced Wasserstein distance with the nearest …
estimator integrates the recently advanced sliced Wasserstein distance with the nearest …
Changes in risk appreciation, and short memory of house buyers when the market is hot, a case study of Christchurch, New Zealand
In this paper, house prices in Christchurch are analysed over three distinct periods of time:
post-2011 earthquake, pre-COVID-19 lockdown, and post-COVID-19 lockdown. The first …
post-2011 earthquake, pre-COVID-19 lockdown, and post-COVID-19 lockdown. The first …
A Novel Approach to Statistical Problems Without Identifiability
AD Adams - 2024 - search.proquest.com
DISSERTATION A NOVEL APPROACH TO STATISTICAL PROBLEMS WITHOUT
IDENTIFIABILITY Submitted by Addison D. Adams Department of Statis Page 1 …
IDENTIFIABILITY Submitted by Addison D. Adams Department of Statis Page 1 …
Nonparametric estimation of the random coefficients model in python
We present $\textbf {PyRMLE} $, a Python module that implements Regularized Maximum
Likelihood Estimation for the analysis of Random Coefficient models. $\textbf {PyRMLE} $ is …
Likelihood Estimation for the analysis of Random Coefficient models. $\textbf {PyRMLE} $ is …