interpolation with a large information set
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Paper provided by Society for Computational Economics in its series Computing in Economics and Finance 2002 with number 72.Length:
Date of creation: 01 Jul 2002
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Handle: RePEc:sce:scecf2:72
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Web page: http://www.cepremap.cnrs.fr/sce2002.html/
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Related research
Keywords: factor models; interpolation; large datasets;Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
This paper has been announced in the following NEP Reports:
- NEP-ALL-2003-10-20 (All new papers)
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Massimiliano Marcellino, 2005.
"Pooling-based Data Interpolation and Backdating,"
Working Papers
299, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Massimiliano Marcellino, 2007. "Pooling-Based Data Interpolation and Backdating," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(1), pages 53-71, 01.
- Marcellino, Massimiliano, 2005. "Pooling-based data interpolation and backdating," CEPR Discussion Papers 5295, C.E.P.R. Discussion Papers.
- Elena Angelini & Massimiliano Marcellino, 2007.
"Econometric analyses with backdated data - unified Germany and the euro area,"
Working Paper Series
752, European Central Bank.
- Angelini, Elena & Marcellino, Massimiliano, 2011. "Econometric analyses with backdated data: Unified Germany and the euro area," Economic Modelling, Elsevier, vol. 28(3), pages 1405-1414, May.
- Carlo Ambrogio Favero & Massimilano Marcellino & Francesca Neglia, .
"Principal components at work: The empirical analysis of monetary policy with large datasets,"
Working Papers
223, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Massimiliano Marcellino & Carlo A. Favero & Francesca Neglia, 2005. "Principal components at work: the empirical analysis of monetary policy with large data sets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 603-620.
- Carriero, Andrea & Marcellino, Massimiliano, 2007.
"A comparison of methods for the construction of composite coincident and leading indexes for the UK,"
International Journal of Forecasting,
Elsevier, vol. 23(2), pages 219-236.
- Andrea Carriero & Massimiliano Marcellino, 2007. "A Comparison of Methods for the Construction of Composite Coincident and Leading Indexes for the UK," Working Papers 590, Queen Mary, University of London, School of Economics and Finance.
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