Eliminating the omitted variable bias by a regime-switching approach
From MaRDI portal
Publication:5123497
DOI10.1080/02664760902914474OpenAlexW1983671006MaRDI QIDQ5123497
Publication date: 29 September 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664760902914474
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Analysis of time series subject to changes in regime
- Investigating omitted variable bias in regression parameter estimation: a genetic algorithm approach
- Extensions of estimation methods using the EM algorithm
- A Markov model for switching regressions
- Specification testing in Markov-switching time-series models
- Moments of Markov switching models
- Mixture Densities, Maximum Likelihood and the EM Algorithm
- Statistical analysis of finite mixture distributions
- A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
- Correcting for Omitted-Variables and Measurement-Error Bias in Regression with an Application to the Effect of Lead on IQ
- A New Approach to Estimating Switching Regressions
- Relative Asymptotic Bias from Errors of Omission and Measurement
- The Estimation of the Parameters of a Linear Regression System Obeying Two Separate Regimes
This page was built for publication: Eliminating the omitted variable bias by a regime-switching approach