1 resultado para computational costs
em Universidad del Rosario, Colombia
Filtro por publicador
- JISC Information Environment Repository (1)
- Repository Napier (1)
- Aberystwyth University Repository - Reino Unido (2)
- Academic Research Repository at Institute of Developing Economies (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (12)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (3)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (12)
- Aston University Research Archive (2)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (10)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (6)
- Boston University Digital Common (6)
- Brock University, Canada (7)
- CaltechTHESIS (11)
- Cambridge University Engineering Department Publications Database (158)
- CentAUR: Central Archive University of Reading - UK (5)
- Center for Jewish History Digital Collections (2)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (21)
- Cochin University of Science & Technology (CUSAT), India (1)
- Collection Of Biostatistics Research Archive (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (3)
- Cornell: DigitalCommons@ILR (1)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (7)
- Digital Commons - Michigan Tech (1)
- Digital Repository at Iowa State University (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (17)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (7)
- FAUBA DIGITAL: Repositorio institucional científico y académico de la Facultad de Agronomia de la Universidad de Buenos Aires (1)
- Greenwich Academic Literature Archive - UK (58)
- Helda - Digital Repository of University of Helsinki (31)
- Indian Institute of Science - Bangalore - Índia (90)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico do Porto, Portugal (12)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (11)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (11)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (163)
- Queensland University of Technology - ePrints Archive (232)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (4)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (10)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (9)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (2)
- Universidad de Alicante (1)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (9)
- Universidade Complutense de Madrid (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universitat de Girona, Spain (3)
- Université de Lausanne, Switzerland (3)
- Université de Montréal, Canada (2)
- University of Queensland eSpace - Australia (2)
- University of Washington (2)
- WestminsterResearch - UK (17)
Resumo:
In this paper, investment cost asymmetry is introduced in order to test wheter this kind of asymmetry can account for asymmetries in business cycles. By using a smooth transition function, asymmetric investment cost is modeled and introduced in a canonical RBC model. Simulations of the model with Perturbations Method (PM) are very close to simulations through Parameterized Expectations Algorithm (PEA), which allows the use of the former for the sake of time reduction and computational costs. Both symmetric and asymmetric models were simulated and compared. Deterministic and stochastic impulse-response excersices revealed that it is possible to adequately reproduce asymmetric business cycles by modeling asymmetric investment costs. Simulations also showed that higher order moments are insu_cient to detect asymmetries. Instead, methods such as Generalized Impulse Response Analysis (GIRA) and Nonlinear Econometrics prove to be more e_cient diagnostic tools.