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Estimation of firm-specific technological bias, technical change and total fctor productivity growth : a dual approach
Kumbhakar, Subal; Nakamura, Shinichiro; Heshmati, Almas - In: Econometric reviews 19 (2000) 4, pp. 493-515
Persistent link: https://www.econbiz.de/10001521439
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Data-driven nonparametric spectral density estimators for economic time series : a Monte Carlo study
Birgean, Ionel; Kilian, Lutz - In: Econometric reviews 21 (2002) 4, pp. 449-476
Persistent link: https://www.econbiz.de/10001718225
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The co-integrated vector autoregression with errors-in-variables
Bohn Nielsen, Heino - In: Econometric reviews 35 (2016) 1/4, pp. 169-200
Persistent link: https://www.econbiz.de/10011549904
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The impact of integrated measurement errors on modeling long-run macroeconomic time series
Duffy, James A.; Hendry, David F. - In: Econometric reviews 36 (2017) 6/9, pp. 568-587
Persistent link: https://www.econbiz.de/10011795283
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Multivariate local polynomial kernel estimators : leading bias and asymptotic distribution
Gu, Jingping; Li, Qi; Yang, Jui-Chung - In: Econometric reviews 34 (2015) 6/10, pp. 979-1010
Persistent link: https://www.econbiz.de/10011483447
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Improving the finite sample performance of autoregression estimators in dynamic factor models : a bootstrap approach
Shintani, Mototsugu; Guo, Zi-Yi - In: Econometric reviews 37 (2018) 1/5, pp. 360-379
Persistent link: https://www.econbiz.de/10012039266
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Bias-corrected realized variance
Yeh, Jin-huei; Wang, Jying-Nan - In: Econometric reviews 38 (2019) 2, pp. 170-192
Persistent link: https://www.econbiz.de/10012180719
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Estimation bias and bias correction in reduced rank autoregressions
Bohn Nielsen, Heino - In: Econometric reviews 38 (2019) 3, pp. 332-349
Persistent link: https://www.econbiz.de/10012181296
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Asymmetries in Conditional Mean and Variance: Modelling Stock Returns by asMA-asQGARCH
Brännäs, Kurt; de Gooijer, Jan G. - 2000
variancefunctions. In a genuine out-of-sample forecasting experiment theperformance of the best fitted asMA-asQGARCH model is compared …
Persistent link: https://www.econbiz.de/10010324389
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Combined Forecasts from Linear and Nonlinear Time Series Models
Terui, N.; van Dijk, Herman K. - 2000
Combined forecasts from a linear and a nonlinear model areinvestigated for timeseries with possibly nonlinear characteristics. The forecasts arecombined by aconstant coefficient regression method as well as a time varyingmethod. Thetime varying method allows for a locally (non)linear model....
Persistent link: https://www.econbiz.de/10010324396