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A multi-level panel smooth transition autoregression for US sectoral production

Fok, Dennis (contributor); Dijk, Dick van (contributor); … - 2003 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10001903604

Forecasting aggregates using panels of nonlinear time series

Fok, Dennis (contributor); Dijk, Dick van (contributor); … - 2004 - [Elektronische Ressource]

Persistent link: https://www.econbiz.de/10002449418

Forecasting aggregates using panels of nonlinear time series

Fok, Dennis; Dijk, Dick van; Franses, Philip Hans - In: International journal of forecasting 21 (2005) 4, pp. 785-794

Persistent link: https://www.econbiz.de/10003150711

Comments on Fok, van Dijk and Franses's paper: "Forecasting aggregates using panels of nonlinear time series"

Hoyo, Juan del - In: International journal of forecasting 21 (2005) 4, pp. 795-797

Persistent link: https://www.econbiz.de/10003150712

A multi-level panel star model for us manufacturing sectors

Fok, Dennis; Dijk, Dick van; Franses, Philip Hans - In: Journal of applied econometrics 20 (2005) 6, pp. 811-827

Persistent link: https://www.econbiz.de/10003168966

Heterogeneous variable selection in nonlinear panel data models : a semiparametric Bayesian approach

Castelein, Anoek; Fok, Dennis; Paap, Richard - 2020

In this paper, we develop a general method for heterogeneous variable selection in Bayesian nonlinear panel data models. Heterogeneous variable selection refers to the possibility that subsets of units are unaffected by certain variables. It may be present in applications as diverse as health...

Persistent link: https://www.econbiz.de/10012427429