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Combining growth and level data: An estimation of the population of Belgian municipalities between 1880 and 1970.
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- Author(s): Ronsse, Stijn (AUTHOR); Standaert, Samuel (AUTHOR)
- Source:
Historical Methods. Oct-Dec2017, Vol. 50 Issue 4, p218-226. 9p. - Source:
- Additional Information
- Subject Terms:
- Subject Terms:
- 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. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Historical Methods is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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