Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

The specification of dynamic discrete-time two-state panel data models

Simple item page
dc.contributor.authorGorgens, Tue
dc.contributor.authorHyslop, Dean
dc.date.accessioned2022-12-01T22:28:15Z
dc.date.available2022-12-01T22:28:15Z
dc.date.issued2019
dc.date.updated2021-11-28T07:30:48Z
dc.description.abstractThis paper compares two approaches to analyzing longitudinal discrete-time binary outcomes. Dynamic binary response models focus on state occupancy and typically specify low-order Markovian state dependence. Multi-spell duration models focus on transitions between states and typically allow for state-specific duration dependence. We show that the former implicitly impose strong and testable restrictions on the transition probabilities. In a case study of poverty transitions, we show that these restrictions are severely rejected against the more flexible multi-spell duration models.en_AU
dc.description.sponsorshipT.G.’s research was supported in part by Australian Research Council Grant DP1096862. D.R.H.’s research was supported in part by the Royal Society of New Zealand Marsden Fund Grant MEP1301en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2225-1146en_AU
dc.identifier.urihttp://hdl.handle.net/1885/281474
dc.language.isoen_AUen_AU
dc.provenanceThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_AU
dc.publisherMDPI Publicationen_AU
dc.relationhttp://purl.org/au-research/grants/arc/DP1096862en_AU
dc.rights© 2018 by the authors. Licensee MDPI, Basel, Switzerland.en_AU
dc.rights.licenseCreative Commons Attribution 4.0 International Licenseen_AU
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_AU
dc.sourceEconometricsen_AU
dc.titleThe specification of dynamic discrete-time two-state panel data modelsen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage16en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationGorgens, Tue, College of Business and Economics, ANUen_AU
local.contributor.affiliationHyslop, Dean, Motu Economic and Public Policy Researchen_AU
local.contributor.authoruidGorgens, Tue, u4033205en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor380202 - Econometric and statistical methodsen_AU
local.identifier.absfor380204 - Panel data analysisen_AU
local.identifier.ariespublicationu3102795xPUB946en_AU
local.identifier.citationvolume7en_AU
local.identifier.doi10.3390/econometrics7010001en_AU
local.identifier.scopusID2-s2.0-85060346188
local.publisher.urlhttps://www.mdpi.com/en_AU
local.type.statusPublished Versionen_AU

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
econometrics-07-00001.pdf
Size:
291.21 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS

abcd