A class of indirect inference estimators: higher‐order asymptotics and approximate bias correction
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- Stelios Arvanitis & Antonis Demos, 2014. "A Class of Indirect Inference Estimators: Higher Order Asymptotics and Approximate Bias Correction (Revised)," DEOS Working Papers 1411, Athens University of Economics and Business, revised 23 Sep 2014.
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Cited by:
- Arvanitis Stelios & Demos Antonis, 2018.
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- Stelios Arvanitis & Antonis Demos, 2014. "On the Validity of Edgeworth Expansions and Moment Approximations for Three Indirect Inference Estimators," DEOS Working Papers 1406, Athens University of Economics and Business.
- Demos Antonis & Kyriakopoulou Dimitra, 2019.
"Finite-Sample Theory and Bias Correction of Maximum Likelihood Estimators in the EGARCH Model,"
Journal of Time Series Econometrics, De Gruyter, vol. 11(1), pages 1-20, January.
- Antonis Demos & Dimitra Kyriakopoulou, 2018. "Finite-sample theory and bias correction of maximum likelihood estimators in the EGARCH model," LIDAM Reprints CORE 2983, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- DEMOS Antonis, & KYRIAKOPOULOU Dimitra,, 2018. "Finite sample theory and bias correction of maximum likelihood estimators in the EGARCH model," LIDAM Discussion Papers CORE 2018007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Antonis Demos & Dimitra Kyriakopoulou, 2018. "Finite Sample Theory and Bias Correction of Maximum Likelihood Estimators in the EGARCH Model," DEOS Working Papers 1802, Athens University of Economics and Business.
- Stéphane Guerrier & Samuel Orso & Maria-Pia Victoria-Feser, 2018. "Parametric Inference for Index Functionals," Econometrics, MDPI, vol. 6(2), pages 1-11, April.
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- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
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