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since priors offer a way to exert control over the estimation results. This paper proposes a penalized indirect inference …
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variable, which makes the state space model become nonlinear and therefore its estimation by Kalman filtering and maximum …
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identification robust methods to assess estimation uncertainty when using non-Gaussianity for identification. …
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We build a dynamic general equilibrium model with 2 countries, horizontal and vertical multinational activity and endogenous domestic and foreign investment. It is found that horizontal multinational activity always leads to a complementary relationship between domestic and foreign investment....
Persistent link: https://www.econbiz.de/10011377536
The econometrics literature proposed several new causal machine learning methods (CML) in the past few years. These methods harness the strength of machine learning methods to flexibly model the relationship between the treatment, outcome and confounders, while providing valid inferential...
Persistent link: https://www.econbiz.de/10012650104
A new and rapidly growing econometric literature is making advances in the problem of using machine learning (ML) methods for causal inference questions. Yet, the empirical economics literature has not started to fully exploit the strengths of these modern methods. We revisit influential...
Persistent link: https://www.econbiz.de/10012404160
moving window estimation in order to determine a plausible time-varying number of factor model components. Results are …
Persistent link: https://www.econbiz.de/10015133674