Institution
Kiel Institute for the World Economy
Facility•Kiel, Germany•
About: Kiel Institute for the World Economy is a facility organization based out in Kiel, Germany. It is known for research contribution in the topics: Foreign direct investment & Productivity. The organization has 318 authors who have published 1909 publications receiving 42832 citations. The organization is also known as: Institut für Weltwirtschaft an der Universität Kiel.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors analyze the incentives that developing and developed countries face for continuing or transforming the Clean Development Mechanism in the light of future agreements for a worldwide emissions control program.
32 citations
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TL;DR: In this article, the role of uncertainty on both exchange rate expectations and forecast errors of professionals for four major currencies based on survey data provided by FX4casts is analyzed. And the authors find that uncertainty effects on forecast errors are more significant compared to the adjustment of exchange-rate expectations.
32 citations
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TL;DR: In this paper, the authors investigated the accuracy of point and density forecasts of four DSGE models for inflation, output growth and the federal funds rate from historical U.S data vintages synchronized with the Fed's Greenbook projections.
Abstract: This paper investigates the accuracy of point and density forecasts of four DSGE models for inflation, output growth and the federal funds rate. Model parameters are estimated and forecasts are derived successively from historical U.S. data vintages synchronized with the Fed’s Greenbook projections. Point forecasts of some models are of similar accuracy as the forecasts of nonstructural large dataset methods. Despite their common underlying New Keynesian modeling philosophy, forecasts of different DSGE models turn out to be quite distinct. Weighted forecasts are more precise than forecasts from individual models. The accuracy of a simple average of DSGE model forecasts is comparable to Greenbook projections for medium term horizons. Comparing density forecasts of DSGE models with the actual distribution of observations shows that the models overestimate uncertainty around point forecasts.
32 citations
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TL;DR: In this article, the authors introduced the concept of homogeneous non-causality in heterogeneous panels, which is used to examine a panel of data for evidence of a causal relationship between GDP and carbon emissions.
Abstract: This paper introduces the concept of homogeneous non-causality in heterogeneous panels. This concept is used to examine a panel of data for evidence of a causal relationship between GDP and carbon emissions. The technique is compared to the standard test for homogeneous non-causality in homogeneous panels and heterogeneous non-causality in heterogeneous panels. In North America, Asia and Oceania the homogeneous non-causality hypothesis that CO2 emissions does not Granger cause GDP cannot be rejected if heterogeneity is allowed for in the data-generating process. In North America the homogeneous non-causality hypothesis that GDP does not cause CO2 emissions cannot be rejected either.
32 citations
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TL;DR: In this paper, the authors set up a two-country asymmetric trade model with heterogeneous firms, search frictions and endogenous labor market institutions, and showed that more open and smaller economies have more generous unemployment benefit replacement rates as a larger fraction of the costs is borne by foreign trading partners.
32 citations
Authors
Showing all 325 results
Name | H-index | Papers | Citations |
---|---|---|---|
Richard S.J. Tol | 116 | 695 | 48587 |
Axel Dreher | 78 | 350 | 20081 |
Holger Görg | 67 | 367 | 17161 |
J. Edward Taylor | 50 | 210 | 13967 |
Thomas Lux | 49 | 194 | 11041 |
Dennis J. Snower | 47 | 311 | 9689 |
Xinshen Diao | 46 | 251 | 6568 |
Gabriel Felbermayr | 45 | 272 | 6586 |
Peter Nunnenkamp | 42 | 250 | 5711 |
Ansgar Belke | 42 | 536 | 7383 |
Awudu Abdulai | 41 | 156 | 6555 |
Katrin Rehdanz | 40 | 161 | 6453 |
Martin F. Quaas | 39 | 189 | 5628 |
Michael Hübler | 36 | 194 | 4051 |
Mario Larch | 34 | 146 | 4040 |