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Distributions of GDP across versions of the Penn World Tables : a functional data analysis approach
Chen, Tao; DeJuan, Joseph P.; Tian, Renfang - In: Economics letters 170 (2018), pp. 179-184
Persistent link: https://www.econbiz.de/10012019633
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A note on the accuracy of Markov-chain approximations to highly persistent AR(1) processes
Flodén, Martin - In: Economics letters 99 (2008) 3, pp. 516-520
Persistent link: https://www.econbiz.de/10003726236
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A state space model for reducing the uncertainty associated with preliminary vintages of data with an application to aggregate consumption
Patterson, Kerry D. - In: Economics letters 46 (1994) 3, pp. 215-222
Persistent link: https://www.econbiz.de/10001172370
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Trade as a threshold variable for multiple regimes
Papageorgiou, Chris - In: Economics letters 77 (2002) 1, pp. 85-91
Persistent link: https://www.econbiz.de/10001698645
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A note on the statistical properties of aggregate q measures : received 25.2.1985
Connolly, Robert A.; Lacivita, C. J. - In: Economics letters 19 (1985) 2, pp. 177-181
Persistent link: https://www.econbiz.de/10002026051
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The statistical measurement of discrimination : received 19.11.1984
Dolton, P. J.; Makepeace, G. H. - In: Economics letters 18 (1985) 4, pp. 391-395
Persistent link: https://www.econbiz.de/10002095690
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Trade as a threshold variable for multiple regimes : a comment
Huang, Ho-chuan; Chang, Ya-kai - In: Economics letters 91 (2006) 3, pp. 458-459
Persistent link: https://www.econbiz.de/10003333709
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Trade as a threshold variable for multiple regimes : reply
Papageorgiou, Chris - In: Economics letters 91 (2006) 3, pp. 460-461
Persistent link: https://www.econbiz.de/10003333711
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How redefining statistical significance can worsen the replication crisis
Williams, Cole Randall - In: Economics letters 181 (2019), pp. 65-69
Persistent link: https://www.econbiz.de/10012121843
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Enriching administrative data using survey data and machine learning techniques
Kunaschk, Max - In: Economics letters 243 (2024), pp. 1-3
Persistent link: https://www.econbiz.de/10015080454