Resumé
Udgivelsesdato: july
Udgivelsesdato: july
| Sprog | Engelsk |
|---|---|
| Tidsskrift | Journal of Business and Economic Statistics |
| Vol/bind | 18 |
| Udgave nummer | 4 |
| Sider | 436-450 |
| ISSN | 0735-0015 |
| Status | Udgivet - 2000 |
Bibliografisk note
Opstilling: 336.748 la
Løbe nr.: 011749
Emneord
- ECU
- Valutakurser
Citer dette
la Cour, L. F., & MacDonald, R. (2000). Modeling the ECU Against the U.S. Dollar: A Structural Monetary Interpretation. Journal of Business and Economic Statistics, 18(4), 436-450.
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title = "Modeling the ECU Against the U.S. Dollar: A Structural Monetary Interpretation",
abstract = "Udgivelsesdato: july",
keywords = "ECU, Valutakurser",
author = "{la Cour}, {Lisbeth Funding} and Ronald MacDonald",
note = "Opstilling: 336.748 la L{\o}be nr.: 011749",
year = "2000",
language = "English",
volume = "18",
pages = "436--450",
journal = "Journal of Business and Economic Statistics",
issn = "0735-0015",
publisher = "Taylor & Francis",
number = "4",
}
la Cour, LF & MacDonald, R 2000, 'Modeling the ECU Against the U.S. Dollar: A Structural Monetary Interpretation' Journal of Business and Economic Statistics, bind 18, nr. 4, s. 436-450.
Modeling the ECU Against the U.S. Dollar : A Structural Monetary Interpretation. / la Cour, Lisbeth Funding; MacDonald, Ronald.
I: Journal of Business and Economic Statistics, Bind 18, Nr. 4, 2000, s. 436-450.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
TY - JOUR
T1 - Modeling the ECU Against the U.S. Dollar
T2 - Journal of Business and Economic Statistics
AU - la Cour,Lisbeth Funding
AU - MacDonald,Ronald
N1 - Opstilling: 336.748 la Løbe nr.: 011749
PY - 2000
Y1 - 2000
N2 - Udgivelsesdato: july
AB - Udgivelsesdato: july
KW - ECU
KW - Valutakurser
M3 - Journal article
VL - 18
SP - 436
EP - 450
JO - Journal of Business and Economic Statistics
JF - Journal of Business and Economic Statistics
SN - 0735-0015
IS - 4
ER -
la Cour LF, MacDonald R. Modeling the ECU Against the U.S. Dollar: A Structural Monetary Interpretation. Journal of Business and Economic Statistics. 2000;18(4):436-450.