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|a (DE-627)JST028838947
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|a (JST)2692187
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|a DE-627
|b ger
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|e rakwb
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|a eng
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|a Park, Joon Y.
|e verfasserin
|4 aut
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|a Nonlinear Regressions with Integrated Time Series
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|c 2001
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|a Text
|b txt
|2 rdacontent
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|a Computermedien
|b c
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|a Online-Ressource
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|a An asymptotic theory is developed for nonlinear regression with integrated processes. The models allow for nonlinear effects from unit root time series and therefore deal with the case of parametric nonlinear cointegration. The theory covers integrable and asymptotically homogeneous functions. Sufficient conditions for weak consistency are given and a limit distribution theory is provided. The rates of convergence depend on the properties of the nonlinear regression function, and are shown to be as slow as n<sup>1/4</sup> for integrable functions, and to be generally polynomial in n<sup>1/2</sup> for homogeneous functions. For regressions with integrable functions, the limiting distribution theory is mixed normal with mixing variates that depend on the sojourn time of the limiting Brownian motion of the integrated process.
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|a Copyright 2001 Econometric Society
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|a Functionals of Brownian Motion
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|a Integrated Process
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|a Local Time
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|a Mixed Normal Limit Theory
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|a Nonlinear Regression
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|a Occupation Density
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|a Information science
|x Data products
|x Datasets
|x Time series
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|a Physical sciences
|x Physics
|x Mechanics
|x Fluid mechanics
|x Brownian motion
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|a Information science
|x Information analysis
|x Data analysis
|x Regression analysis
|x Linear regression
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Measures of variability
|x Multivariate statistical analysis
|x Covariance
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|a Mathematics
|x Pure mathematics
|x Probability theory
|x Random variables
|x Stochastic processes
|x Martingales
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Central tendencies
|x Sample mean
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Statistical theories
|x Asymptotic theory
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|a Economics
|x Economic disciplines
|x Applied economics
|x Economic modeling
|x Economic models
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|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Cognitive processes
|x Problem solving
|x Heuristics
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Inferential statistics
|x Statistical estimation
|x Estimation methods
|x Estimators
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|a research-article
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|i Enthalten in
|t Econometrica
|d Wiley
|g 69(2001), 1, Seite 117-161
|w (DE-627)270425721
|w (DE-600)1477253-X
|x 14680262
|7 nnns
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|g volume:69
|g year:2001
|g number:1
|g pages:117-161
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|u https://www.jstor.org/stable/2692187
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|d 69
|j 2001
|e 1
|h 117-161
|