Exact tests of the stability of the Phillips curve: the Canadian case
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Publication:957215
DOI10.1016/J.CSDA.2004.05.022zbMath1429.62677OpenAlexW2069557700MaRDI QIDQ957215
Publication date: 26 November 2008
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2004.05.022
Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Parametric hypothesis testing (62F03)
Related Items (5)
Estimation uncertainty in structural inflation models with real wage rigidities ⋮ Second special issue on computational econometrics ⋮ Inflation dynamics and the New Keynesian Phillips curve: an identification robust econometric analysis ⋮ Finite sample multivariate tests of asset pricing models with coskewness ⋮ Power of the Sequential Monte Carlo Test
Cites Work
- Unnamed Item
- A Simple Test for Heteroscedasticity and Random Coefficient Variation
- Simulation-based finite-sample tests for heteroskedasticity and ARCH effects
- Exact tests in single equation autoregressive distributed lag models
- Exact tests for contemporaneous correlation of disturbances in seemingly unrelated regressions.
- Simulation based finite and large sample tests in multivariate regressions
- Exact tests for structural change in first-order dynamic models
- Modified Randomization Tests for Nonparametric Hypotheses
- Instrumental Variables Regression with Weak Instruments
- Exact Inference Methods for First-Order Autoregressive Distributed Lag Models
- Inference on Structural Parameters in Instrumental Variables Regression with Weak Instruments
- Inconsistency of the Bootstrap when a Parameter is on the Boundary of the Parameter Space
- GMM with Weak Identification
- Testing When a Parameter is on the Boundary of the Maintained Hypothesis
- A test for the presence of conditional heteroskedasticity within arch-m framework
- Inference When a Nuisance Parameter Is Not Identified Under the Null Hypothesis
- Simulation‐based finite sample normality tests in linear regressions
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