Combining growth and level data: an estimation of the population of Belgian cities between 1880 and 1970

Stijn Ronsse () and Samuel Standaert

Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium from Ghent University, Faculty of Economics and Business Administration

Abstract: Economists that study long-term changes during the 19th and 20th century are fundamentally restricted by the availability of qualitative data, as the latter is often inversely proportional to quality. This is further compounded by administrative changes that alter what exactly is being measured over time as well as an overall decrease of data availability the further we go back in time. This is particularly inconvenient in historical population data, as census data is often only available ever decade. As a result, researchers are forced to either impute qualitative data, or otherwise combine datasets of varying quality in some way. In this article, we demonstrate the versatility of state-space models in addressing these problems, enabling us to compose large data series of a high quality. Moreover, unlike more simple techniques it also provides an estimate of the reliability of the results, allowing any subsequent analyses to take this into account. We illustrate this by combining growth and level data on the population of Belgian cities into a dataset that contains yearly estimates of the population of over 2600 cities from 1880 to 1970.

Keywords: Population; Data quality; State-space model; Bayesian econometrics (search for similar items in EconPapers)
Pages: 15 pages
Date: 2017-01
New Economics Papers: this item is included in nep-his and nep-ure
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:rug:rugwps:17/927

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