1 resultado para Copper and non-heme proteins
em Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom
Filtro por publicador
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (4)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (11)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (9)
- Aston University Research Archive (4)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (26)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (51)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (4)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (112)
- Brock University, Canada (9)
- Bucknell University Digital Commons - Pensilvania - USA (5)
- CentAUR: Central Archive University of Reading - UK (77)
- Central European University - Research Support Scheme (1)
- Clark Digital Commons--knowledge; creativity; research; and innovation of Clark University (2)
- Cochin University of Science & Technology (CUSAT), India (16)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (5)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (18)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (3)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- Digital Commons - Michigan Tech (2)
- Digital Commons - Montana Tech (6)
- Digital Commons @ Winthrop University (1)
- Digital Commons at Florida International University (1)
- Digital Peer Publishing (2)
- Digital Repository at Iowa State University (2)
- DigitalCommons@The Texas Medical Center (19)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (12)
- Instituto Gulbenkian de Ciência (1)
- Instituto Politécnico do Porto, Portugal (6)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (3)
- Martin Luther Universitat Halle Wittenberg, Germany (3)
- Massachusetts Institute of Technology (2)
- Ministerio de Cultura, Spain (5)
- National Center for Biotechnology Information - NCBI (4)
- Publishing Network for Geoscientific & Environmental Data (21)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório da Produção Científica e Intelectual da Unicamp (7)
- Repositório digital da Fundação Getúlio Vargas - FGV (7)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (147)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (12)
- School of Medicine, Washington University, United States (3)
- Scielo Saúde Pública - SP (92)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (1)
- Universidad del Rosario, Colombia (4)
- Universidad Politécnica de Madrid (13)
- Universidade do Minho (5)
- Universidade Federal do Pará (2)
- Universitat de Girona, Spain (3)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (72)
- Université de Montréal, Canada (13)
- University of Canberra Research Repository - Australia (1)
- University of Michigan (1)
- University of Queensland eSpace - Australia (38)
- University of Southampton, United Kingdom (1)
Resumo:
This paper applies recently developed heterogeneous nonlinear and linear panel unit root tests that account for cross-sectional dependence to 24 OECD and 33 non-OECD countries’ consumption-income ratios over the period 1951–2003. We apply a recently developed methodology that facilitates the use of panel tests to identify which individual cross-sectional units are stationary and which are nonstationary. This extends evidence provided in the recent literature to consider both linear and nonlinear adjustment in panel unit root tests, to address the issue of cross-sectional dependence, and to substantially expand both time-series and cross sectional dimensions of the data analysed. We find that the majority (65%) of the series are nonstationary with slightly fewer OECD countries’ (61%) series exhibiting a unit root than non-OECD countries (68%).