Heuristic optimization methods for dynamic panel data model selection: application on the Russian innovative performance
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Publication:429539
DOI10.1007/s10614-010-9243-xzbMath1242.91154OpenAlexW3124054925MaRDI QIDQ429539
Publication date: 19 June 2012
Published in: Computational Economics (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10419/37270
Approximation methods and heuristics in mathematical programming (90C59) Economic models of real-world systems (e.g., electricity markets, etc.) (91B74)
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- Initial conditions and moment restrictions in dynamic panel data models
- Heuristic optimization methods for dynamic panel data model selection: application on the Russian innovative performance
- An efficient branch-and-bound strategy for subset vector autoregressive model selection
- Variable selection in regression models using nonstandard optimisation of information criteria
- Subset selection for vector autoregressive processes using Lasso
- Predicting EU energy industry excess returns on EU market index via a constrained genetic algorithm
- Statistical modeling: The two cultures. (With comments and a rejoinder).
- Information criteria for selecting possibly misspecified parametric models
- The optimal choice of moments in dynamic panel data models
- Dynamic innovation diffusion modelling
- Panel Data and Unobservable Individual Effects
- Market Share, Market Value and Innovation in a Panel of British Manufacturing Firms
- Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations
- Optimized multivariate lag structure selection
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