Arbeitspapier

Testing for cointegration in a double-LSTR framework

This paper investigates the finite-sample properties of the smooth transition-based cointegration test proposed by Kapetanios et al. (2006) when the data generating process under the alternative hypothesis is a globally stationary second order LSTR model. The provided procedure describes an application to long-run equilibrium relations involving real exchange rates with symmetric behaviour. We utilise the properties of the double LSTR transition function that features unit root behaviour within the inner regime and symmetric behaviour in the outer regimes. Hence, under the null hypothesis we imply no cointegration and globally stationary D-LSTR cointegration under the alternative. As a result of the identification problem the limiting distribution derived under the null hypothesis is non-standard. The Double LSTR is capable of producing three-regime TAR nonlinearity when the transition parameter tends to infinity as well as generating exponential-type nonlinearity that closely approximates ESTR nonlinearity. Therefore, we find that the Double LSTR error correction model has power against both of these alternatives.

Language
Englisch

Bibliographic citation
Series: Diskussionsbeitrag ; No. 514

Classification
Wirtschaft
Hypothesis Testing: General
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Subject
Cointegration tests
LSTR
Monte carlo simulation
Nonlinear error correction

Event
Geistige Schöpfung
(who)
Grote, Claudia
Sibbertsen, Philipp
Event
Veröffentlichung
(who)
Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät
(where)
Hannover
(when)
2013

Handle
Last update
20.09.2024, 8:21 AM CEST

Data provider

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Object type

  • Arbeitspapier

Associated

  • Grote, Claudia
  • Sibbertsen, Philipp
  • Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät

Time of origin

  • 2013

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