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How scholars can support government analytics: Combining employee surveys with more administrative data sources towards a better understanding of how government functions

Rogger, Daniel; Schuster, Christian; (2024) How scholars can support government analytics: Combining employee surveys with more administrative data sources towards a better understanding of how government functions. Public Administration Review 10.1111/puar.13894. (In press). Green open access

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Abstract

With the digitization of administrative systems, governments have gained access to rich data about their administrative operations. How governments leverage such data to improve their administration—what we call government analytics—will shape government effectiveness. This article summarizes a conceptual framework which showcases that data can help diagnose and improve all components of a public administration production function—from inputs such as personnel and goods, to processes and management practices, to outputs and outcomes. We then assess to what extent public administration scholarship analyses these data sources and can thus inform government analytics. A review of 689 quantitative articles in two public administration journals in 2013–2023 finds that 50% draw on surveys of public employees and 25% on surveys of citizens or firms. By contrast, administrative micro data (14% of articles) are underexploited. Practitioners and scholars would thus do well to expand the data sources used to inform better government.

Type: Article
Title: How scholars can support government analytics: Combining employee surveys with more administrative data sources towards a better understanding of how government functions
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/puar.13894
Publisher version: https://doi.org/10.1111/puar.13894
Language: English
Additional information: Copyright © 2024 The Author(s). Public Administration Review published by Wiley Periodicals LLC on behalf of American Society for Public Administration. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Political Science
URI: https://discovery.ucl.ac.uk/id/eprint/10201261
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