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Expected utility and catastrophic risk in a stochastic economy-climate model
Ikefuji, Masako; Laeven, Roger J. A.; Magnus, Jan R.; … - In: Journal of econometrics 214 (2020) 1, pp. 110-129
Persistent link: https://www.econbiz.de/10012438313
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The efficiency of top agents : an analysis through service strategy in tennis
Klaassen, Franc; Magnus, Jan R. - In: Journal of econometrics 148 (2009) 1, pp. 72-85
Persistent link: https://www.econbiz.de/10003813132
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Interpretation and use of sensitivity in econometrics, illustrated with forecast combinations
Magnus, Jan R.; Vasnev, Andrey L. - In: International journal of forecasting 31 (2015) 3, pp. 769-781
Persistent link: https://www.econbiz.de/10011474558
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On the harm that ignoring pretesting can cause
Danilov, Dmitry L.; Magnus, Jan R. - In: Journal of econometrics 122 (2004) 1, pp. 27-46
Persistent link: https://www.econbiz.de/10002136485
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On the sensitivity of the usual t- and F-tests to covariance misspecification
Banerjee, Anurag Narayan; Magnus, Jan R. - In: Journal of econometrics 95 (2000) 1, pp. 157-176
Persistent link: https://www.econbiz.de/10001432559
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The significance of testing in econometrics
Keuzenkamp, Hugo A. (contributor);  … - In: Journal of econometrics 67 (1995) 1
Persistent link: https://www.econbiz.de/10001178310
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On tests and significance in econometrics
Keuzenkamp, Hugo A. - In: Journal of econometrics 67 (1995) 1, pp. 5-24
Persistent link: https://www.econbiz.de/10001333020
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The sensitivity of OLS when the variance matrix is (partially) unknown
Banerjee, Anurag Narayan; Magnus, Jan R. - In: Journal of econometrics 92 (1999) 2, pp. 295-323
Persistent link: https://www.econbiz.de/10001400172
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The exact multi-period mean-square forecast error for the first-order autoregressive model with an intercept
Magnus, Jan R. - In: Journal of econometrics 42 (1989) 2, pp. 157-179
Persistent link: https://www.econbiz.de/10001071077
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The forecast combination puzzle : a simple theoretical explanation
Claeskens, Gerda; Magnus, Jan R.; Vasnev, Andrey L.; … - In: International journal of forecasting 32 (2016) 3, pp. 754-762
Persistent link: https://www.econbiz.de/10011621807