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Estimating persistence for irregularly spaced historical data

Editorial: Springer Nature
Licencia: Creative Commons (by)
Autor(es): Franses, Philip

This paper introduces to the literature on Economic History a measure of persistence which is particularly useful when the data are irregularly spaced. An illustration to ten historical unevenly spaced data series for Holland of 1738 to 1779 shows the merits of the methodology. It is found that the weight of slave-based contribution in that period has grown with a deterministic trend pattern.
[2021]

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