Missing Observations and Additive Outliers in Time Series Models
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Other versions of this item:
- Peña, Daniel & Maravall, Agustín, 1992. "Missing observations and additive outliers in time series models," UC3M Working papers. Economics 2888, Universidad Carlos III de Madrid. Departamento de Economía.
References listed on IDEAS
- Pena, Daniel, 1990. "Influential Observations in Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 235-241, April.
- Nerlove, Marc & Grether, David M. & Carvalho, José L., 1979. "Analysis of Economic Time Series," Elsevier Monographs, Elsevier, edition 1, number 9780125157506 edited by Shell, Karl.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Syed Abul Basher & Stefano Fachin, 2014.
"Investigating long-run demand for broad money in the Gulf Arab countries,"
Middle East Development Journal,
Taylor & Francis Journals, vol. 6(2), pages 199-214, July.
- Syed Basher & Stefano Fachin, 2012. "Investigating Long-Run Demand for Broad Money in the Gulf Arab Countries," DSS Empirical Economics and Econometrics Working Papers Series 2012/6, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
- Delicado, Pedro, 1995. "Predicción con datos faltantes: aplicación a un caso real," DES - Documentos de Trabajo. Estadística y Econometría. DS 3583, Universidad Carlos III de Madrid. Departamento de Estadística.
- Gomez, Victor & Maravall, Agustin & Pena, Daniel, 1998. "Missing observations in ARIMA models: Skipping approach versus additive outlier approach," Journal of Econometrics, Elsevier, vol. 88(2), pages 341-363, November.
- Pedro Delicado & Ana Justel, 1997. "Forecasting with missing data: Application to a real case," Economics Working Papers 213, Department of Economics and Business, Universitat Pompeu Fabra.
More about this item
KeywordsTIME SERIES; EVALUATION; ECONOMETRICS;
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
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