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A comparison of dynamic panel data estimators : Monte Carlo evidence and an application to the investment function
Behr, Andreas - 2003
In our analysis we discuss several dynamic panel data estimators proposed in the literature and assess their performance in Monte Carlo simulations. It is a well known fact that the natural choice, the least squares dummy variable estimator is biased in the context of dynamic estimation. The...
Persistent link: https://www.econbiz.de/10011431996
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On estimation of gravity equation : a cluster analysis
Bobková, Božena - 2014
This article questions the slope homogeneity in a gravity equation and proposes a partially heterogeneous framework for its estimation using panel data. We suggest to employ K-mean clustering to group countries according to the gravity equation variables. Further, the gravity model is estimated...
Persistent link: https://www.econbiz.de/10010461219
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Empirical Monte Carlo evidence on estimation of Timing-of-Events models
Lombardi, Stefano; Berg, Gerard J. van den; Vikström, Johan - 2020
This paper builds on the Empirical Monte Carlo simulation approach developed by Huber et al. (2013) to study the estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job-seekers with information on participation in a training program to simulate placebo...
Persistent link: https://www.econbiz.de/10012419545
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Empirical Monte Carlo evidence on estimation of timing-of-events models
Lombardi, Stefano; Berg, Gerard J. van den; Vikström, Johan - 2021
This paper builds on the Empirical Monte Carlo simulation approach developed by Huber et al. (2013) to study the estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job-seekers with information on participation in a training program to simulate placebo...
Persistent link: https://www.econbiz.de/10012390913
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A comparison of dynamic panel data estimators: Monte Carlo evidence and an application to the investment function
Behr, Andreas - 2003
In our analysis we discuss several dynamic panel data estimators proposed in the literature and assess their performance in Monte Carlo simulations. It is a well known fact that the natural choice, the least squares dummy variable estimator is biased in the context of dynamic estimation. The...
Persistent link: https://www.econbiz.de/10010295751
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German international trade : interpreting export flows according to the gravity model
Paulus, Michal; Michalíková, Eva; Benáček, Vladimír - 2014
The paper applies the gravity model of international trade in its analysis of German exports. The added value of our … new insights into the analysis of German export performance. Our panel dataset includes German exports to 176 countries … European neighbourhood relative to the world average. Exports are sensitive to both the real exchange rate movements and the …
Persistent link: https://www.econbiz.de/10010358344
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Learn German, buy German? : language-learning opportunities abroad and exports
Fieles-Ahmad, Omar Martin; Huber, Matthias - 2021
effect that language learning opportunities abroad have on German exports. We employ a gravity model of trade with a single … importance of potential reverse causality, we also estimate the effect that institutes have on Swiss exports. Our findings for … both Germany and German-speaking Swiss cantons show that institutes do stimulate exports to GI-hosting countries, but that …
Persistent link: https://www.econbiz.de/10012592169
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The determinants of reservation wages in Germany : does a motivation gap exist?
Christensen, Björn - 2001
This paper investigates the reservation wages of unemployed persons on the basis of a job-search model with non-static reservation wages using panel data from Germany from 1987 to 1998. The results suggest that reservation wages are relatively high in Germany compared to other countries....
Persistent link: https://www.econbiz.de/10011474420
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Discrete-time stochastic volatility models and MCMC-based statistical inference
Hautsch, Nikolaus (contributor); Ou, Yangguoyi (contributor) - 2008
In this paper, we review the most common specifications of discrete-time stochastic volatility (SV) models and illustrate the major principles of corresponding Markov Chain Monte Carlo (MCMC) based statistical inference. We provide a hands-on ap proach which is easily implemented in empirical...
Persistent link: https://www.econbiz.de/10003770817
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Inference for adaptive time series models : stochastic volatility and conditionally Gaussian state space form
Bos, Charles S.; Shephard, Neil G. - 2004
In this paper we replace the Gaussian errors in the standard Gaussian, linear state space model with stochastic volatility processes. This is called a GSSF-SV model. We show that conventional MCMC algorithms for this type of model are ineffective, but that this problem can be removed by...
Persistent link: https://www.econbiz.de/10011334849