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Estimating time variation in measurement error from data revisions : an application to backcasting and forecasting in dynamic models
Kapetanios, George; Yates, Anthony - In: Journal of applied econometrics 25 (2010) 5, pp. 869-893
Persistent link: https://www.econbiz.de/10008667439
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The Bias of the Gini Coefficient due to Grouping
Ourti, Tom Van; Clarke, Philip - 2008
We propose a first order bias correction term for the Gini index to reduce the bias due to grouping. The first order … reveals an intuitive formula for the remaining second order bias which is useful in empirical analyses. We analyze the … it reduces a considerable share of the bias due to grouping. …
Persistent link: https://www.econbiz.de/10010325812
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Alternative technical efficiency measures : skew, bias and scale
Feng, Qu; Horrace, William C. - In: Journal of applied econometrics 27 (2012) 2, pp. 253-268
Persistent link: https://www.econbiz.de/10009618640
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How large is the bias in self-reported disability?
Benítez-Silva, Hugo; Buchinsky, Moshe; Chan, Hiu Man; … - In: Journal of applied econometrics 19 (2004) 6, pp. 649-670
Persistent link: https://www.econbiz.de/10002468149
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The Bias of the Gini Coefficient Due to Grouping : Revisiting First-Order Corrections
Van Ourti, Tom - 2008
We propose a first order bias correction term for the Gini index to reduce the bias due to grouping. The first order … reveals an intuitive formula for the remaining second order bias which is useful in empirical analyses. We analyze the … it reduces a considerable share of the bias due to grouping …
Persistent link: https://www.econbiz.de/10012722922
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Measurement Error in Education and Growth Regressions
Portela, Miguel; Alessie, Rob; Teulings, Coen N. - 2004
the measurement error. The standard attenuation bias suggests that using these corrected data would lead to a higher …
Persistent link: https://www.econbiz.de/10010325186
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Refining stylized facts from factor models of inflation
De Graeve, Ferre; Walentin, Karl - In: Journal of applied econometrics 30 (2015) 7, pp. 1192-1209
Persistent link: https://www.econbiz.de/10011431761
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When can we ignore measurement error in the running variable?
Dong, Yingying; Kolesár, Michal - In: Journal of applied econometrics 38 (2023) 5, pp. 735-750
Persistent link: https://www.econbiz.de/10014338141
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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