Contents, figures and tables

Contents of the report

This web book version of the report is structured into 17 chapters and two appendices.

Chapter 1: Introduction
- Section 1.1: Why InCiSE is needed
- Section 1.2: Defining the civil service
- Section 1.3: The InCiSE framework
- Section 1.4: The InCiSE data model
- Section 1.5: Eligibility of metrics
- Section 1.6: Technical approach
- Section 1.7: Quality considerations and limitations
- Section 1.8: Relationship with other indicators and data collections
- Section 1.9: Structure of this report
Chapter 2: Methodology of the InCiSE index
- Section 2.1: Data preparation
- Section 2.2: Data quality assessment
- Section 2.3: Country coverage selection
- Section 2.4: Imputation of missing data
- Section 2.5: Data normalisation
- Section 2.6: Calculation of the InCiSE indicators
- Section 2.7: Calculation of the InCiSE Index
- Section 2.8: Data quality considerations
- Section 2.9: Comparisons over time
Methodology of the InCiSE indicators
- Chapter 3: Integrity
  - Section 3.1: Imputation of missing data
  - Section 3.2: Changes from the 2017 pilot
- Chapter 4: Openness
  - Section 4.1: Imputation of missing data
  - Section 4.2: Changes from the 2017 Pilot
- Chapter 5: Capabilities
  - Section 5.1: Imputation of missing data
  - Section 5.2: Changes from the 2017 Pilot
- Chapter 6: Inclusiveness
  - Section 6.1: Imputation of missing data
  - Section 6.2: Changes from the 2017 Pilot
- Chapter 7: Policy making
  - Section 7.1: Imputation of missing data
  - Section 7.2: Changes from the 2017 Pilot
- Chapter 8: Fiscal and financial management
  - Section 8.1: Imputation of missing data
  - Section 8.2: Changes from the 2017 Pilot
- Chapter 9: Regulation
  - Section 9.1: Imputation of missing data
  - Section 9.2: Changes from the 2017 Pilot
- Chapter 10: Crisis and risk management
  - Section 10.1: Imputation of missing data
  - Section 10.2: Changes from the 2017 Pilot
- Chapter 11: Procurement
  - Section 11.1: Imputation of missing data
  - Section 11.2: Changes from the 2017 Pilot
- Chapter 12: HR management
  - Section 12.1: Imputation of missing data
  - Section 12.2: Changes from the 2017 Pilot
- Chapter 13: Tax administration
  - Section 13.1: Imputation of missing data
  - Section 13.2: Changes from the 2017 Pilot
- Chapter 14: Digital services
  - Section 14.1: Imputation of missing data
  - Section 14.2: Changes from the 2017 Pilot
Chapter 15: Summary of changes from the 2017 pilot edition of the InCiSE Index
- Section 15.1: Changes in the overarching methodology
- Section 15.2: Indicators with no changes
- Section 15.3: Indicators with minor changes
- Section 15.4: Crisis and risk management
- Section 15.5: Capabilities
- Section 15.6: Digital services
- Section 15.7: Procurement
- Section 15.8: Social security administration
Chapter 16: Sensitivity analysis
- Section 16.1: Country selection
- Section 16.2: Reference date
- Section 16.3: Alternative approaches to weighting
- Section 16.4: Adjusting the base data
- Section 16.5: Alternative imputation methods
- Section 16.6: Results of the sensitivity analysis
Chapter 17: Future development
- Section 17.1: Social security administration
- Section 17.2: Functions and attributes not yet measured
- Section 17.3: Functions and attributes already measured
- Section 17.4: Extending country coverage
References
Appendices
- Appendix A: Composite metrics
  - Section A.1: Integrity
  - Section A.2: Inclusiveness
  - Section A.3: Fiscal and financial management
  - Section A.4: Tax administration
  - Section A.5: Procurement
  - Section A.6: Crisis and risk management
- Appendix B: Sensitivity analysis: detailed results
- Appendix C: Data quality assessment – detailed results

Changes compared to the original 2019 publication

Chapters 3-14 of this web book were presented as a single chapter (Chapter 3) in the original 2019 publication. For improved navigation and readability this part of the report has been split into separate chapters. Footnotes have been added to charts, tables and chapters to indicate the resulting differences in numbering between this web book and the original PDF publication.

Appendix C was not included in the original 2019 publication. It has been added to this web publication of the report to provide more details for stakeholders on the results of the data quality assessment that was used in the 2019 modelling.

List of figures

Figure 1.1: The InCiSE Index Framework
Figure 1.2: The InCiSE data model
Figure 5.1: Tertiary education levels of adults 25-34 and 55-64, in selected
Figure 16.1: Sensitivity analysis results

List of tables

Table 1.1: Scope of the InCiSE Framework

Table 2.1: Data quality assessment (DQA) results across the 12 InCiSE indicators and overall, for all 249 countries and territories considered by the InCiSE data model
Table 2.2: Data quality assessment (DQA) results for the 38 countries included in the 2019 index
Table 2.3: Data quality assessment (DQA) results by country
Table 2.4: Data quality assessment (DQA) results by country for the next countries after the 38 selected for inclusion in the InCiSE 2019 model
Table 2.5: InCiSE 2019 indicator weightings
Table 2.6: Summary of data quality metadata for the 38 countries of the InCiSE 2019 Index
Table 2.7: Overall quality assessment ‘RAG’ rating of the 2019 InCiSE indicators
Table 2.8: Data quality scores by indicator and country

Table 3.1: Composition of the integrity indicator
Table 3.2: Coding of post-employment cooling-off in the 2017 Pilot edition of InCiSE
Table 3.3: Coding of post-employment cooling-off in the 2019 edition of InCiSE

Table 4.1: Composition of the openness indicator

Table 5.1: Composition of the capabilities indicator countries

Table 6.1: Composition of the inclusiveness indicator

Table 7.1: Composition of the policy making indicator

Table 8.1: Composition of the fiscal and financial management indicator

Table 9.1: Composition of the regulation indicator

Table 10.1: Composition of the crisis and risk management indicator

Table 11.1: Composition of the procurement indicator

Table 12.1: Composition of the HR management indicator

Table 13.1: Composition of the tax administration indicator

Table 14.1: Composition of the digital services indicator
Table 14.2: Proportion of eGBR assessed services identified as ‘national’ level services

Table 16.1: Reference year of InCiSE metrics by indicator
Table 16.2: Variation in country ranking across sensitivity analyses
Table 16.3: Summary of variation in ranking changes across sensitivity analysis sets

Table 17.1: Potential future improvement of indicators measured in the 2019 edition of InCiSE

Table A.1: Composite metrics in the integrity indicator
Table A.2: Composite metrics in the inclusiveness indicator
Table A.3: Composite metrics in the fiscal and financial management indicator
Table A.4: Composite metrics in the tax administration indicator
Table A.5: Composite metrics in the procurement indicator
Table A.6: Composite metrics in the crisis and risk management indicator

Table B.1: Sensitivity tests varying country coverage
Table B.2: Sensitivity tests varying reference year
Table B.3: Sensitivity tests with alternative approaches to weighting
Table B.4: Sensitivity tests adjusting the base data
Table B.5: Sensitivity tests adjusting the base data