Return
Testing for common deterministic trend slopes
DOI:10.1016/j.jeconom.2004.02.004.png)
Abstract
En 中文
We propose tests for hypotheses on the parameters for deterministic trends. The model framework assumes a multivariate structure for trend-stationary time series variables. We derive the asymptotic theory and provide some relevant critical values. Monte Carlo simulations suggest which tests are more useful in practice than others. We apply our tests to examine real GDP convergence for a sample of seven European countries. (C) 2004 Elsevier B.V. All rights reserved.
Keywords:
deterministic trends
hypothesis testing
multivariate trend function testing
economic convergence
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4
Papers:
5.3K
Citations:
3.0W
Organization
No organization information available
Cited Papers
AN IMPROVED HETEROSKEDASTICITY AND AUTOCORRELATION CONSISTENT COVARIANCE-MATRIX ESTIMATOR
ECONOMETRICA
IF7.1
Heteroskedasticity-autocorrelation robust standard errors using the Bartlett kernel without truncation
ECONOMETRICA
IF7.1

