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Is a small Monte Carlo analysis a good analysis?

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Author Info
Ignacio Díaz-Emparanza

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File URL: http://hdl.handle.net/10.1007/s00362-002-0124-9
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Article provided by Springer in its journal Statistical Papers.

Volume (Year): 43 (2002)
Issue (Month): 4 (October)
Pages: 567-577
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Handle: RePEc:spr:stpapr:v:43:y:2002:i:4:p:567-577

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  1. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June. [Downloadable!] (restricted)
  2. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238. [Downloadable!] (restricted)
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  3. Finster, Mark P., 1987. "An analysis of five simulation methods for determining the number of replications in a complex Monte Carlo study," Statistics & Probability Letters, Elsevier, vol. 5(5), pages 353-360, August. [Downloadable!] (restricted)
  4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178. [Downloadable!] (restricted)
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  5. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254. [Downloadable!] (restricted)
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