Intersection tests for the cointegrating rank in dependent panel data

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

This paper takes a multiple testing perspective on the problem of determining the cointegrating rank in macroeconometric panel data with cross-sectional dependence. The testing procedure for a common rank among the panel units is based on Simes’ (1986) intersection test and requires only the p-values of suitable individual test statistics. A Monte Carlo study demonstrates that these simple tests are robust to cross-sectional dependence and have reasonable size and power properties. A multivariate version of Kendall’s tau is used to test an important assumption underlying Simes’ procedure for dependent statistics. The proposed method is illustrated by an empirical application.
Original languageEnglish
JournalCommunications in Statistics - Simulation and Computation
Volume49
Issue number4
Pages (from-to)918-941
Number of pages24
ISSN0361-0918
DOIs
Publication statusPublished - 02.04.2020

Bibliographical note

Financial support by the German Research Foundation (DFG) through the project KA-3145/1-1 is gratefully acknowledged. The data for the empirical analysis was in part collected during a research stay of the second author at the Humboldt Universität in Berlin. The first author would like to thank Plamen Trayanov for helpful discussions. The authors are also grateful to two anonymous referees for their constructive comments and suggestions.

Recently viewed

Publications

  1. Latent structure perceptron with feature induction for unrestricted coreference resolution
  2. On robustness properties in permanent magnet machine control by using decoupling controller
  3. Globally asymptotic output feedback tracking of robot manipulators with actuator constraints
  4. Vision-Based Deep Learning Algorithm for Detecting Potholes
  5. Construct Objectification and De-Objectification in Organization Theory
  6. Kinematic self-calibration of non-contact five-axis measuring machine using improved genetic algorithm.
  7. Methodologies for Noise and Gross Error Detection using Univariate Signal-Based Approaches in Industrial Application
  8. Algebraic combinatorics in mathematical chemistry. Methods and algorithms. I. Permutation groups and coherent (cellular) algebras.
  9. Springback prediction and reduction in deep drawing under influence of unloading modulus degradation
  10. Modelling tasks—The relation between linguistic skills, intra-mathematical skills, and context-related prior knowledge
  11. Diffusion-driven microstructure evolution in OpenCalphad
  12. Recurrence Quantification Analysis of Processes and Products of Discourse
  13. Exact and approximate inference for annotating graphs with structural SVMs
  14. Selecting and Adapting Methods for Analysis and Design in Value-Sensitive Digital Social Innovation Projects: Toward Design Principles
  15. Long-term memory predictors of adult language learning at the interface between syntactic form and meaning
  16. Interpreting Strings, Weaving Threads
  17. A model predictive control in Robotino and its implementation using ROS system
  18. Dynamically changing sequencing rules with reinforcement learning in a job shop system with stochastic influences
  19. A New Framework for Production Planning and Control to Support the Positioning in Fields of Tension Created by Opposing Logistic Objectives
  20. A Python toolbox for the numerical solution of the Maxey-Riley equation
  21. Joint entity and relation linking using EARL
  22. Human–learning–machines: introduction to a special section on how cybernetics and constructivism inspired new forms of learning
  23. A Wavelet Packet Tree Denoising Algorithm for Images of Atomic-Force Microscopy
  24. Introducing parametric uncertainty into a nonlinear friction model
  25. Finding Similar Movements in Positional Data Streams
  26. A change of values is in the air
  27. Integrating Mobile Devices into AAL-Environments using Knowledge based Assistance Systems
  28. Integrating errors into the training process
  29. Modeling Effective and Ineffective Knowledge Communication and Learning Discourses in CSCL with Hidden Markov Models
  30. Parking space management through deep learning – an approach for automated, low-cost and scalable real-time detection of parking space occupancy
  31. Analysis of Complexity Reduction in Kalman Filters Through Decoupling Control With Chattered Inputs in PMSM
  32. Lyapunov stability analysis to set up a PI controller for a mass flow system in case of a non-saturating input