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Combining growth and level data: An estimation of the population of Belgian municipalities between 1880 and 1970

Stijn Ronsse and Samuel Standaert

Historical Methods: A Journal of Quantitative and Interdisciplinary History, 2017, vol. 50, issue 4, 218-226

Abstract: Economic historians that study long-term changes during the nineteenth and twentieth century are fundamentally restricted by the availability of qualitative data. As a result, researchers are forced to either impute missing data, or otherwise combine datasets in some way. In this article, we demonstrate the versatility of state-space models in addressing these problems. Not only do they enable us to compose large data series of high quality, they also provide a clear estimate of how reliable this data is, allowing any subsequent analyses to take this reliability into account. We illustrate the advantages of a state-space model using the population of Belgian municipalities as a case study. By combining growth and level data, we are able to compute yearly population statistics of over 2600 municipalities from 1880 to 1970.

Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1080/01615440.2017.1355764

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