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to analyze the identification of a model independently of any particular parametric specification, it is useful to … perform a nonparametric analysis of identification. This chapter presents some of the recent results on the identification of … nonparametric econometric models. It considers identification in models that are additive in unobservable random terms and in models …
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identification. The model is applied to data of US and further stock markets. Indeed, we find strong nonlinear, volatility …
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We study the ability of exclusion and sign restrictions to measure monetary policy shocks in small open economies. Our Monte Carlo experiments show that sign restrictions systematically overshoot inflation responses to the said shock, so we propose to add prior information to limit the number of...
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Having efficient and accurate samplers for simulating the posterior distribution is crucial for Bayesian analysis. We develop a generic posterior simulator called the "dynamic striated Metropolis-Hastings (DSMH)" sampler. Grounded in the Metropolis-Hastings algorithm, it draws its strengths from...
Persistent link: https://www.econbiz.de/10010434021
We present a model, in which a small industrialised economy outsources part of its production into a small foreign country which is well endowed with low-skilled labour. We analyse under which conditions sinking trade costs stimulate outsourcing activities, thereby increasing the wage dispersion...
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