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Regression discontinuity designs with clustered data : variance and bandwidth choice

Bartalotti, Otávio C.; Brummet, Quentin O. - 2016

Persistent link: https://www.econbiz.de/10011542737

A semi-parametric non-linear neural network filter : theory and empirical evidence

Michaēlidēs, Panagiōtēs G.; Tsionas, Efthymios G.; … - In: Computational economics 51 (2018) 3, pp. 637-675

Persistent link: https://www.econbiz.de/10011963721

Nonparametric test for volatility in clustered multiple time series

Barrios, Erniel B.; Redondo, Paolo Victor T. - In: Computational economics 63 (2024) 2, pp. 861-876

Persistent link: https://www.econbiz.de/10014475068

Estimation of average treatment effects for massively unbalanced binary outcomes

Hahn, Jinyong; Liu, Xueyuan; Ridder, Geert - In: Econometric reviews 43 (2024) 6, pp. 319-344

Persistent link: https://www.econbiz.de/10014551525

On clustering procedures and nonparametric mixture estimation

Auray, Stéphane; Klutchnikoff, Nicolas; Rouvière, Laurent - 2013

Persistent link: https://www.econbiz.de/10010342686

Adaptive weights clustering of research papers

Adamyan, Larisa; Efimov, Kirill; Chen, Yi-Hsuan; … - 2017

Humboldt-Universität zu Berlin and Xiamen University, China we employ a new adaptive clustering technique to identify … interpretable JEL (sub)clusters. The proposed Adaptive Weights Clustering (AWC) is available on www.quantlet.de and is based on the …

Persistent link: https://www.econbiz.de/10011672433

Adaptive weights clustering of research papers

Adamyan, Larisa; Efimov, Kirill; Chen, Yi-Hsuan; … - In: Digital finance : smart data analytics, investment … 2 (2020) 3/4, pp. 169-187

Persistent link: https://www.econbiz.de/10012416297

A nonparametric data mining approach for risk prediction in car insurance : a case study from the Montenegrin market

Kašćelan, Vladimir; Kašćelan, Ljiljan; Novović … - In: Economic research 29 (2016) 1, pp. 545-558

Persistent link: https://www.econbiz.de/10012221714

Dirichlet process log skew-normal mixture with a missing-at-random-covariate in insurance claim analysis

Kim, Minkun; Lindberg, David; Crane, Martin; … - In: Econometrics : open access journal 11 (2023) 4, pp. 1-32

In actuarial practice, the modeling of total losses tied to a certain policy is a nontrivial task due to complex distributional features. In the recent literature, the application of the Dirichlet process mixture for insurance loss has been proposed to eliminate the risk of model...

Persistent link: https://www.econbiz.de/10014507911

Bayesian modeling via discrete nonparametric priors

Catalano, Marta; Lijoi, Antonio; Prünster, Igor; … - 2023

Persistent link: https://www.econbiz.de/10014321841