Interactive R&D Spillovers: An estimation strategy based on forecasting-driven model selection
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- Musolesi, Antonio & Prete, Giada Andrea & Simioni, Michel, 2022. "Is infrastructure capital really productive? Non-parametric modeling and data-driven model selection in a cross-sectionally dependent panel framework," TSE Working Papers 22-1335, Toulouse School of Economics (TSE).
- Antonio Musolesi & Giada Andrea Prete & Michel Simioni, 2022. "Is infrastructure capital really productive? Non-parametric modeling and data-driven model selection in a cross-sectionally dependent panel framework," SEEDS Working Papers 0522, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Mar 2022.
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More about this item
Keywords
large panels; cross-sectional dependence; factor models; nonparametric regression; spline functions; approximate model; predictive accuracy; international technology diffusion;All these keywords.
JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- F0 - International Economics - - General
- O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2021-05-10 (Econometrics)
- NEP-EFF-2021-05-10 (Efficiency and Productivity)
- NEP-ORE-2021-05-10 (Operations Research)
Statistics
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