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Tests for Multiple Breaks in the Trend with Stationary or Integrated Shocks
Authors:Nuno Sobreira  Luis C Nunes
Affiliation:1. CEMAPRE and School of Economics and Management (ISEG), Universidade de Lisboa, Lisbon, Portugal;2. Nova School of Business and Economics, Universidade Nova de Lisboa, Lisbon, Portugal
Abstract:In this paper, we propose new tests of the presence of multiple breaks in the trend of a univariate time‐series where the number and dates of the breaks are unknown and that are valid in the presence of stationary or unit root shocks. These tests can also be used to sequentially estimate the number of breaks. The behaviour of the proposed tests is studied through Monte Carlo experiments.
Keywords:
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