Arbeitspapier

Evaluating a class of nonlinear time series models

We consider a recently proposed class of nonlinear time series models and focus mainly on misspecification testing for models of such type. Following the modeling cycle for nonlinear time series models of specification, estimation and evaluation we first treat how to choose an adequate transition function and then contribute to the evaluation stage by proposing tests against serial correlation, no remaining nonlinearity and parameter constancy. We also consider evaluation by generalized impulse response functions. The finite sample properties of the proposed tests are studied via simulation. We illustrate the use of these methods by an application to real exchange rate data.

Language
Englisch

Bibliographic citation
Series: Diskussionsbeitrag ; No. 445

Classification
Wirtschaft
Hypothesis Testing: General
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Model Evaluation, Validation, and Selection
Subject
Nonlinearities
Smooth transition
Specification testing
Real exchange rates
Zeitreihenanalyse
Nichtlineares Verfahren
Statistischer Test
Theorie
Schätzung
Kaufkraftparität

Event
Geistige Schöpfung
(who)
Heinen, Florian
Event
Veröffentlichung
(who)
Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät
(where)
Hannover
(when)
2010

Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Heinen, Florian
  • Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät

Time of origin

  • 2010

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