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A New Unit Root Test for Unemployment Hysteresis Based on the Autoregressive Neural Network

A New Unit Root Test for Unemployment Hysteresis Based on the Autoregressive Neural Network

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2552582780

A New Unit Root Test for Unemployment Hysteresis Based on the Autoregressive Neural Network

About this item

Full title

A New Unit Root Test for Unemployment Hysteresis Based on the Autoregressive Neural Network

Publisher

Oxford: Blackwell Publishing Ltd

Journal title

Oxford bulletin of economics and statistics, 2021-08, Vol.83 (4), p.960-981

Language

English

Formats

Publication information

Publisher

Oxford: Blackwell Publishing Ltd

More information

Scope and Contents

Contents

This paper proposes a nonlinear unit root test based on the autoregressive neural network process for testing unemployment hysteresis. In this new unit root testing framework, the linear, quadratic and cubic components of the neural network process are used to capture the nonlinearity in a given time series data. The theoretical properties of the t...

Alternative Titles

Full title

A New Unit Root Test for Unemployment Hysteresis Based on the Autoregressive Neural Network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2552582780

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2552582780

Other Identifiers

ISSN

0305-9049

E-ISSN

1468-0084

DOI

10.1111/obes.12422

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