Recent Developments in Cointegration
The Cointegrated VAR model allows the user to study both long-run and short-run effects in the same model. It describes an economic system where variables have been pushed away from long-run equilibria by exogenous shocks (the pushing forces) and where short-run adjustments forces pull them back tow...
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| Format: | Book Chapter |
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MDPI - Multidisciplinary Digital Publishing Institute
2018
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| Online Access: | Get Fullteks DOAB: description of the publication |
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| LEADER | 02644naaaa2200349uu 4500 | ||
|---|---|---|---|
| 001 | doab_20_500_12854_57766 | ||
| 005 | 20210212 | ||
| 020 | |a 9783038429555 | ||
| 020 | |a 9783038429562 | ||
| 041 | 0 | |a English | |
| 042 | |a dc | ||
| 100 | 1 | |a Katarina Juselius (Ed.) |4 auth | |
| 245 | 1 | 0 | |a Recent Developments in Cointegration |
| 260 | |b MDPI - Multidisciplinary Digital Publishing Institute |c 2018 | ||
| 300 | |a 1 electronic resource (VIII, 210 p.) | ||
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a The Cointegrated VAR model allows the user to study both long-run and short-run effects in the same model. It describes an economic system where variables have been pushed away from long-run equilibria by exogenous shocks (the pushing forces) and where short-run adjustments forces pull them back toward long-run equilibria (the pulling forces). In this model framework, basic assumptions underlying an economic theory model can be translated into testable hypotheses of the order of integration and cointegration of key variables and their relationships. While the latter used to be I(1), macroeconomic and financial data have recently shown a tendency for puzzling long and persistent swings around long-run equilibrium values typical of self-reinforcing feed-back mechanisms. Such persistent fluctuations are frequently indistinguishable from I(2) data, pointing to the need for new econometric solutions. In this book, many of our most distinguished scholars in the field of cointegration offer a variety of solutions to these problems by formulating new models, tests, and asymptotics more suitable for an I(2) world. Several of the papers apply these cointegration techniques to a variety of empirical problems, thereby showing how to obtain valuable information about some of the mechanisms that have generated the recent crises. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-nc-nd/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
| 546 | |a English | ||
| 653 | |a Tests of Common Trends | ||
| 653 | |a Near Integration | ||
| 653 | |a I(1) and I(2) models | ||
| 653 | |a PPP and UIP | ||
| 653 | |a Panel Data Cointegration | ||
| 653 | |a Extracting Common Trends | ||
| 653 | |a Financial Obligations and Crisis Cycles | ||
| 653 | |a House Price Model | ||
| 653 | |a Imperfect Knowledge | ||
| 653 | |a Multivariate Cointegration | ||
| 653 | |a Performance of Algorithms | ||
| 856 | 4 | 0 | |a www.oapen.org |u http://www.mdpi.com/books/pdfview/book/669 |7 0 |z Get Fullteks |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/57766 |7 0 |z DOAB: description of the publication |