Publicação
On the power of underdifferencing and over differencing tests against nearly nonstationary alternatives
| Resumo: | The choice of the appropriate degree of integration is a very important question in ARIMA time series modeling. This choice is particularly difficult in the presence of either a nearly nonstationary autoregression or a fractionally integrated process. Via a Monte Carlo study we assess the size and power of MA, AR and spectral estimation tests in the presence of fractionally integrated, nearly nonstationary, and nearly noninvertible processes. |
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| Autores principais: | Crato, Nuno |
| Outros Autores: | Lima, Pedro de |
| Assunto: | ARIMA ARFIMA AR MA Unit Roots |
| Ano: | 1997 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | The choice of the appropriate degree of integration is a very important question in ARIMA time series modeling. This choice is particularly difficult in the presence of either a nearly nonstationary autoregression or a fractionally integrated process. Via a Monte Carlo study we assess the size and power of MA, AR and spectral estimation tests in the presence of fractionally integrated, nearly nonstationary, and nearly noninvertible processes. |
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