Long run and cyclical strong dependence in macroeconomic time series. Nelson and Plosser revisited
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- L. Gil-Alana, 2007. "Long run and cyclical strong dependence in macroeconomic time series: Nelson and Plosser revisited," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 34(2), pages 139-154, April.
References listed on IDEAS
- Canova, Fabio, 1998. "Detrending and business cycle facts," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 475-512, May.
- Crato, Nuno & Rothman, Philip, 1994. "Fractional integration analysis of long-run behavior for US macroeconomic time series," Economics Letters, Elsevier, vol. 45(3), pages 287-291.
- Diebold, Francis X. & Rudebusch, Glenn D., 1989. "Long memory and persistence in aggregate output," Journal of Monetary Economics, Elsevier, vol. 24(2), pages 189-209, September.
- Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- Guglielmo Maria Caporale & Juncal Cuñado & Luis A. Gil-Alana, 2013.
"Modelling long-run trends and cycles in financial time series data,"
Journal of Time Series Analysis,
Wiley Blackwell, vol. 34(3), pages 405-421, May.
- Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana, 2008. "Modelling Long-Run Trends and Cycles in Financial Time Series Data," CESifo Working Paper Series 2330, CESifo Group Munich.
- Luis A. Gil-Alana & Juncal CuÃ±ado & Guglielmo Maria Caporale, 2012. "Modelling Long Run Trends and Cycles in Financial Time Series Data," Faculty Working Papers 13/12, School of Economics and Business Administration, University of Navarra.
More about this item
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
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