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Untangling real gravity
Klaassen, Franc; Teulings, Rutger - 2017
all variables proposed by theory, despite a broad set of fixed effects (FE). We find that both REERs are important and … multilateral resistances. Untangling normalization helps to get a better view of what is still unexplained by theory. …
Persistent link: https://www.econbiz.de/10011791519
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Global credit risk : world, country and industry factors
Schwaab, Bernd; Koopman, Siem Jan; Lucas, André - 2015
area sovereign debt crises. We find that macro and default-specific world factors are a primary source of default …
Persistent link: https://www.econbiz.de/10010484886
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Daily exchange rate behaviour and hedging of currency risk
Bos, Charles S.; Mahieu, Ronald J.; Dijk, Herman K. van - 1999
Persistent link: https://www.econbiz.de/10001412189
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Daily exchange rate behaviour and hedging of currency risk
Bos, Charles S.; Mahieu, Ronald J.; Dijk, Herman K. van - 2000 - rev.
Persistent link: https://www.econbiz.de/10001554496
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Space and growth
Abreu, Maria; Groot, Henri L. F. de; Florax, Raymond J. … - 2004
literature. In contrast, studies on relative location tend to be weakly linked to theory, but apply relatively sophisticated … appropriateness of such models, and identify areas of potential concern. The rather weak linkage between theory and operational models …
Persistent link: https://www.econbiz.de/10011342567
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Skill policies for Scotland
Heckman, James J. (contributor);  … - 2004
Persistent link: https://www.econbiz.de/10002520119
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Systemic risk diagnostics : coincident indicators and early warning signals
Schwaab, Bernd; Lucas, André; Koopman, Siem Jan - 2010
Persistent link: https://www.econbiz.de/10008771823
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Generalized dynamic panel data models with random effects for cross-section and time
Mesters, Geert; Koopman, Siem Jan - 2012
Persistent link: https://www.econbiz.de/10009722706
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Forecasting in a changing world : from the great recession to the COVID-19 pandemic
Artemova, Mariia; Blasques, Francisco; Koopman, Siem Jan; … - 2021
We develop a new targeted maximum likelihood estimation method that provides improved forecasting for misspecified linear autoregressive models. The method weighs data points in the observed sample and is useful in the presence of data generating processes featuring structural breaks, complex...
Persistent link: https://www.econbiz.de/10012416341
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Long memory and level shifts : re-analyzing inflation rates
Bos, Charles S.; Franses, Philip Hans; Ooms, Marius - 1998
Persistent link: https://www.econbiz.de/10000984706