Institution
Austrian Institute of Economic Research
Nonprofit•Vienna, Austria•
About: Austrian Institute of Economic Research is a nonprofit organization based out in Vienna, Austria. It is known for research contribution in the topics: European union & Productivity. The organization has 173 authors who have published 982 publications receiving 23458 citations. The organization is also known as: Österreichisches Institut für Wirtschaftsforschung.
Topics: European union, Productivity, Wage, Tourism, Unemployment
Papers published on a yearly basis
Papers
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TL;DR: In this article, the consequences of the widely used detrending technique popularised by Hodrick and Prescott (1980) were analyzed. And the structural framework provided a basis for exposing the limitations of ARIMA methodology and models based on a deterministic trend with a single break.
Abstract: The stylized facts of macroeconomic time series can be presented by fitting structural time series models. Within this framework, we analyse the consequences of the widely used detrending technique popularised by Hodrick and Prescott (1980). It is shown that mechanical detrending based on the Hodrick–Prescott filter can lead investigators to report spurious cyclical behaviour, and this point is illustrated with empirical examples. Structural time-series models also allow investigators to deal explicitly with seasonal and irregular movements that may distort estimated cyclical components. Finally, the structural framework provides a basis for exposing the limitations of ARIMA methodology and models based on a deterministic trend with a single break.
1,272 citations
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TL;DR: In this article, the superiority of a fixed effects model over a random effects model is argued both along intuitive and econometric lines based on a Hausman test, and the authors shed some light on the problems associated with random effects gravity approaches.
685 citations
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TL;DR: This article presented an AR(1) model in the spirit of Hausman and Taylor zero differences between actual and in-sample predicted trade flows and showed that the difference between short-term and long-term influences could provide interesting insights.
Abstract: This paper presents an AR(1) model in the spirit of Hausman and Taylor zero differences between actual and in-sample predicted trade flows. Large systematic differences between observed and in-sample predicted trade flows only indicate model misspecification and econometric problems. Out-of-sample predictions make sense if countries of interest are in an early stage of the transformation process. The gravity model remains an interesting tool for the calculation of counterfactuals (e.g. the impact of catching up in GDP per capita in the CEEC or of the reduction of trade costs via infrastructure investments or tariffs on bilateral trade, etc.). For this line of research, the difference between short-term and long-term influences could provide interesting insights.
592 citations
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TL;DR: In this paper, the authors use trade costs (distances) as spatial weights of foreign direct investment (FDI) and find that third-country effects are significant, lending support to the existence of various modes of complex FDI.
502 citations
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TL;DR: In this paper, the authors argue that the proper specification of a panel gravity model should include main (exporter, importer, and time) as well as time invariant exporter-by-importer (bilateral) interaction effects.
Abstract: We argue that the proper specification of a panel gravity model should include main (exporter, importer, and time) as well as time invariant exporter-by-importer (bilateral) interaction effects. In a panel of 11 APEC countries, the latter are highly significant and account for the largest part of variation.
434 citations
Authors
Showing all 179 results
Name | H-index | Papers | Citations |
---|---|---|---|
Simon Wessely | 122 | 868 | 62843 |
Peter Egger | 72 | 457 | 17654 |
Erwin Schmid | 49 | 253 | 10711 |
Michael Pfaffermayr | 41 | 169 | 6327 |
Jesus Crespo Cuaresma | 37 | 197 | 6641 |
Andrea Weber | 33 | 122 | 4900 |
Martin Falk | 32 | 253 | 3992 |
Harald Badinger | 30 | 102 | 2698 |
Karl Aiginger | 29 | 213 | 3166 |
Hannes Winner | 28 | 113 | 3541 |
Jan Fidrmuc | 28 | 145 | 3407 |
Klaus Prettner | 28 | 169 | 4188 |
Fritz Breuss | 26 | 220 | 2430 |
Michael Peneder | 26 | 134 | 2629 |
Peter Huber | 22 | 172 | 1557 |