Back Matter
Author:
William Joseph Crandallhttps://isni.org/isni/0000000404811396, International Monetary Fund

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Elizabeth Gavin
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Mr. Andrew R Masters
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References

  • Inter-American Center of Tax Administrations (CIAT). 2016. The Revenue Administrations in Latin America and the Caribbean 2011–2013. Panama City, Panama: CIAT.

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  • Inter-American Center of Tax Administrations (CIAT). 2018. “Tax Administrations: Collection, Costs and Personnel Evidence for the CIAT Countries with Data of ISORA.” Working Paper WP-02-2018, CIAT, Panama City, Panama.

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  • International Labour Organisation (ILO). 2018. Labour force by sex and age. www.ilo.org/ilostat.

  • International Monetary Fund (IMF). 2006. “Revenue Authorities: Issues and Problems in Evaluating Their Success.” IMF Working Paper 06/240, International Monetary Fund, Washington, DC.

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  • International Monetary Fund (IMF). 2015a. “Understanding Revenue Administration. An Initial Data Analysis Using the Revenue Administration Fiscal Information Tool.” Fiscal Affairs Departmental Paper, International Monetary Fund, Washington, DC.

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  • International Monetary Fund (IMF). 2015b. “IMF Engagement with Countries in Post-Conflict and Fragile Situations—Stocktaking.” IMF Policy Paper, International Monetary Fund, Washington, DC.

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  • International Monetary Fund (IMF). 2015c. “Current Challenges in Revenue Mobilization: Improving Tax Compliance.” IMF Staff Report, International Monetary Fund, Washington, DC.

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  • International Monetary Fund (IMF). 2017. “Understanding Revenue Administration. Results from the Second Survey of the Revenue Administration – Fiscal Information Tool.” Fiscal Affairs Departmental Paper, International Monetary Fund, Washington, DC.

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  • International Monetary Fund (IMF). 2018. “2017 Staff Guidance Note on the Fund’s Engagement with Small Developing States.” IMF Policy Paper, International Monetary Fund, Washington, DC.

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  • Organisation for Economic Co-operation and Development (OECD). 2016. Advanced Analytics for Better Tax Administration: Putting Data to Work. Paris: OECD Publishing.

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  • Organisation for Economic Co-operation and Development (OECD). 2017. Tax Administration 2017: Comparative Information on OECD and Other Advanced and Emerging Economies. Paris: OECD Publishing.

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Appendix Tables

Chapter 2—Performance-related Data

Appendix Table 1.

Median On-time Filing Rates

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Note: Numbers in parentheses equal the sample size for data supplied in each column. CIT 5 corporate income tax; PIT 5 personal income tax; VAT 5 value-added tax.
Appendix Table 2.

Average On-time Filing Rates

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Note: Numbers in parentheses equal the sample size for data supplied in each column. CIT 5 corporate income tax; HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; PIT 5 personal income tax; UMICs 5 upper-middle-income countries; VAT 5 value-added tax.
Appendix Table 3.

Median On-time Payment Rate for Core Taxes by Value

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Note: Numbers in parentheses equal the sample size for data supplied in each column. CIT 5 corporate income tax; PAYE 5 pay as yo PIT 5 personal income tax; VAT 5 value-added tax.
Appendix Table 4.

Average On-time Payment Rates for Core Taxes by Value u earn;

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Note: Numbers in parentheses equal the sample size for data supplied in each column. CIT 5 corporate income tax; HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; PIT 5 personal income tax; UMICs 5 upper-middle-income countries; VAT 5 value-added tax.
Appendix Table 5.

Median Proportion of Returns Filed Electronically

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Note: Numbers in parentheses equal the sample size for data supplied in each column. CIT 5 corporate income tax; HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; PIT 5 personal income tax; UMICs 5 upper-middle-income countries; VAT 5 value-added tax.
Appendix Table 6.

Median Proportion of Payments Made Electronically

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Note: Numbers in parentheses equal the sample size for data supplied in each column. CIT 5 corporate income tax; HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; PIT 5 personal income tax; UMICs 5 upper-middle-income countries; VAT 5 value-added tax.
Appendix Table 7.

Debt at Year-end as Percentage of Total Tax Collected

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 8.

Audits per 100 Active Taxpayers

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Note: Numbers in parentheses equal the sample size for data supplied in each column. CIT 5 corporate income tax; HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; PIT 5 personal income tax; UMICs 5 upper-middle-income countries; VAT 5 value-added tax.
Appendix Table 9.

Proportion of Audits Leading to Adjustment

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Note: Numbers in parentheses equal the sample size for data supplied in each column. CIT 5 corporate income tax; HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; PIT 5 personal income tax; UMICs 5 upper-middle-income countries; VAT 5 value-added tax.
Appendix Table 10.

Median Assessments Raised through Audits as Percentage of Revenue

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Note: Numbers in parentheses equal the sample size for data supplied in each column. CIT 5 corporate income tax; HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; PIT 5 personal income tax; UMICs 5 upper-middle-income countries; VAT 5 value-added tax.
Appendix Table 11.

Value of Objections as Percentage of Total Tax Collected

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 12.

Cost of Collection

(Percent)

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries; VAT 5 value-added tax.
Appendix Table 13.

Active Core Taxpayers per Full-time Equivalent

(Median)

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 14.

Citizens per Full-time Equivalent

(Median)

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.

Chapter 2—Profile Data

Appendix Table 15.

Institutional Arrangements—Autonomy and Tax Only/Tax and Customs, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 16.

Institutional Arrangements—Type of Institution, 2015

(Percent)

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 17.

Proportion of Administrations Collecting Each Revenue Type

(Percent)

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs = high-income countries; LICs = low-income countries; LMICs = low-middle-income countries; UMICs = upper-middle-income countries; VAT = value-added tax.
Appendix Table 18.

Proportion of Administrations by Region Collecting Each Revenue Type

(Percent)

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Note: Numbers in parentheses equal the sample size for data supplied in each column. AFR = sub-Saharan Africa; APD = Asia Pacific; EUR = Europe; MCD = Middle East and Central Asia; VAT = value-added tax; WHD = Western Hemisphere.
Appendix Table 19.

Nontax Roles, 2015

(Percent)

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; SSC 5 social security contributions; UMICs 5 upper-middle-income countries.
Appendix Table 20.

Average Percentage of Staff by Function, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 21.

Average Percentage of Staff by Office Type, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 22.

Age Distribution of Staff, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 23.

Average Percentage of Staff by Length of Service, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 24.

Average Percentage of Female Staff, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 25.

Differentiated Treatment of Taxpayer Segments

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; HNWI 5 high-net-wealth individual; LICs 5 low-income countries; LMICs 5 low-middle-income countries; LTO/P 5 large taxpayer office/program; UMICs 5 upper-middle-income countries.
Appendix Table 26.

Characteristics of the Large Taxpayer Office or Program

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Note: Numbers in parentheses equal the sample size for data supplied in each column. FTE 5 full-time equivalent; HICs 5 high-income countries; HNWI 5 high-net-wealth individual; LICs 5 low-income countries; LMICs 5 low-middle-income countries; LTO 5 large taxpayer office; UMICs 5 upper-middle-income countries.
Appendix Table 27.

Criteria Used to Identify Large Taxpayers, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 28.

Functions Carried Out in Large Taxpayer Office or Program, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 29.

Incidence of Simplified Regimes in Tax Administrations, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 30.

Proportion of Administrations with Active Taxpayers Only on Register

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Note: Numbers in parentheses equal the sample size for data supplied in each column. CIT 5 corporate income tax; HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; PIT 5 personal income tax; UMICs 5 upper-middle-income countries; VAT 5 value-added tax.
Appendix Table 31.

Management Approach of Tax Administrations, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 32.

Human Resources Strategy and Approach: Percentage Responding Yes, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs = high-income countries; UCs = low-income countries; LMICs = low-middle-income countries; UMICs = upper-middle-income countries.
Appendix Table 33.

Performance Management: Percentage Responding Yes, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs = high-income countries; LICs = low-income countries; LMICs = low-middle-income countries; PM = performance management system; UMICs = upper-middle-income countries.
Appendix Table 34.

Staff Engagement: Percentage Answering Yes, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 35.

Formal Approaches to Compliance Risk, 2015

(Percent)

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 36.

High-Priority Compliance Approaches, 2015

(Percent)

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 37.

High-Priority Focus Areas, 2015

(Percent)

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs = high-income countries; UCs = low-income countries; LMICs = low-middle-income countries; UMICs = upper-middle-income countries; VAT = value-added tax.
Appendix Table 38.

Tax Gap Estimates and Conduct of Random Audits and Uses, 2015

(Percent)

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Note: Numbers in parentheses equal the sample size for data supplied in each column. CIT = corporate income tax; HICs = high-income countries; UCs = low-income countries; LMICs = low-middle-income countries; PIT = personal income tax; UMICs = upper-middle-income countries; VAT = value-added tax.
Appendix Table 39.

Administrations Using Specified Case Selection Criteria, 2015

(Percent)

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Note: Numbers in parentheses equal the sample size for data supplied in each column. BEPS = base erosion and profit shifting; HICs = high-income countries; LICs = low-income countries; LMICs = low-middle-income countries; UMICs = upper-middle-income countries.
Appendix Table 40.

Electronic Methods in Audit and Specific Uses, 2015

(Percent)

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.

Chapter 2—Administrative and Operational Practices

Appendix Table 41.

Meeting Performance Standards Index

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 42.

Autonomy Index, 2015 Averages

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 43.

Public Accountability Index

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 44.

Service Orientation Index

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
Appendix Table 45.

Consolidation of All Indices, 2015

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Note: Numbers in parentheses equal the sample size for data supplied in each column. HICs 5 high-income countries; LICs 5 low-income countries; LMICs 5 low-middle-income countries; UMICs 5 upper-middle-income countries.
1

This is in sharp contrast to TADAT, which is a formal evidence-based tool to assess tax administrative performance against nine broad performance outcome areas that cover the entire range of tax administration operations, and the assessment is carried out in situ by persons certified in the TADAT methodology.

2

The IMF’s Staff Report Current Challenges in Revenue Mobilization: Improving Tax Compliance (IMF 2015c) points to the value of comparative data in enabling countries to improve their basic operations and implement approaches that grow tax compliance and hence revenue.

3

OECD published a biannual Tax Administration Series with the results of their own survey, their most recent publication—Tax Administration 2017: Comparative Information on OECD and Other Advanced and Emerging Economies—is based on ISORA 2016 and covers 55 tax administrations. See http://dx.doi.org/10.1787/tax_admin-2017-en.

4

The IMF published Understanding Revenue Administration in 2015 and Understanding Revenue Administration Volume 2 in 2017 to present some of the aggregated data and related analyses and observations from RA-FIT Rounds 1 and 2, respectively.

5

CIAT’s 2016 publication The Revenue Administrations in Latin America and the Caribbean was based on data collected through RA-FIT Round 2. Several CIAT working papers published in 2018 have used ISORA 2016 data.

6

The use of the on-line platform for data capture improves data quality, through the implementation of consistency and completion checks as well as other validations of data entered by respondents.

7

Not all participants are sovereign states, but all are members of one of the international partner groups or have a relationship with one of the IMF’s Regional Technical Assistance Centers.

8

The World Bank groups countries by 2013 gross national income per capita as follows: low-income countries—$1,045 or less; lower-middle-income countries—$1,046 to $4,125; upper-middle-income countries—$4,126 to $12,745; and high-income countries—$12,746 or more.

9

Data in the Tax Administration Forum’s database can be accessed from https://qdd.oecd.org/subject.aspx?Subject=TAS.

10

See, for example, IMF (2018).

11

The IMF uses a three-year average of the World Bank’s Country Policy and Institutional Assessment score as opposed to the most recent outturn only. See IMF (2015b). This results in the designation of 39 states as fragile in 2015, of which 18 provided responses to ISORA 2016.

12

For example, scrutiny of ISORA 2016 responses resulted in significant changes to the 2018 questionnaire, which will facilitate easier completion by participants. The proportion of prefilled data entry points has grown from 44 percent (in the ISORA 2016 questionnaire) to 69 percent, along with a reduced proportion and number (reduced from 368 to 282 data entry points) of annual questions, of which most are numerical. Both the 2016 and 2018 questionnaires may be found at http://data.raft.org/?sk=3dba84d7-1dd8-4533-b682-c0dfcb1d7f13&sId=1445908451587.

1

The TADAT definition of “core taxes” is used in this publication. Core taxes are defined by TADAT as direct taxes such as PIT and CIT, and indirect taxes such as VAT and other goods and services taxes; and social security contributions where they are a major source of revenue and collected by the tax administration. This is discussed in more detail in the section on scope in Part IIB. See also http://tadat.org/fles/IMF_TADAT-FieldGuide_web.pdf.

2

For VAT, the expected returns and the on-time returns across all return frequencies were totaled to derive an overall VAT on-time filing rate.

3

In this figure and the tables and figures that follow, the number of responses on which the statistics shown in each graphical point or table column are based is shown in parentheses in the order in which the statistics are provided.

5

No data was collected on the on-time filing rate of employers for pay-as-you-earn in Round 1. Round 2 separated PIT filing data for “salaried” and “other” taxpayers; the data have been combined to create a single PIT on-time filing rate for comparability with later years.

6

Currently, the TADAT Field Guide does not provide specific advice on this methodology. Some jurisdictions appear to be simply using their “active” registrant base, which in some cases is the same as total registrants, in their ISORA submissions, without any consideration of the impact of upcoming changes due to program activity (such as initiatives to expand the formal economy) or economic forecasts. Others seem to be making a calculation of the number of expected returns for a specific tax year rather than for a specific time period, and this may have an impact.

7

TADAT measures electronically filed declarations for all core taxes, and assigns ratings as follows: A—at least 85 percent of declarations are filed electronically for each of the core taxes, and all large taxpayers file core tax declarations electronically; B—at least 70 percent of declarations are filed electronically for each of the core taxes, and at least 80 percent of large taxpayers file core tax declarations electronically; C—at least 50 percent of declarations are filed electronically for at least two core taxes; and D—the requirements for a “C” rating or higher are not met.

8

TADAT also measures electronic payments for core taxes, with the following rating: A—electronic payments account for more than 75 percent of the value of total tax collections for each of CIT, PIT, VAT, and PAYE; B—electronic payments account for more than 50 percent of the value of total tax collections for each of CIT, PIT, VAT, and PAYE; C—electronic payment facilities are used for at least one of the four core taxes; and D— the requirements for a “C” rating or higher are not met.

9

TADAT defines the measure as “the value of total core tax arrears at fiscal year-end as a percentage of total core tax revenue collections for the fiscal year.” The numerator in this ratio (that is, total core tax arrears) includes all core tax arrears including penalties and interest, both collectible and uncollectible. The denominator includes the total amount of core tax collected (net of refunds) by the tax administration during the year.

10

Most ISORA partners only focus on tax administration and as such do not regard VAT on imports as a tax collected by the tax administration.

11

The whiskers extend to 2.5 times the third/second quartile range above/below the median.

12

This section deals with “assessment results,” or additional taxes assessed through audit. This is sometimes called the “audit effort.” It would be preferable to deal with additional tax assessed through audit that is collected. While this information is requested in ISORA, response rates are low. Many administrations report an inability to track collection at this level of specificity.

13

Such as OECD (2016).

14

TADAT does not deal with any specific measures for verification results, or coverage or adjustment rates. It focuses more on the qualitative aspects of verification programs, their application to core taxes, the use of risk-based case selection, and the like. TADAT notes that verification programs have a far wider import than simply raising additional revenues—they also have critical roles in providing a deterrent and obtaining intelligence for the administration.

15

IMF- and Inter-American Center of Tax Administration–supported administrations were presented with these questions as optional questions. In other words, they were not required to provide data.

16

This is found on ISORA Form 3A, question 1, Col. B.

17

This is found on Form 1, question 3, Col. C less 3.II.B. b and e.

18

The ratio of active taxpayers to jurisdiction population for ISORA 2016 respondents varies from under 0.1 percent to over 100 percent.

20

”Revenue authority refers to a governance model for revenue administration where traditional ministry of finance departments (tax and usually customs administrations) are established as an organization or agency with a degree of autonomy from government and independence from standard public service policies. A more precise definition of [revenue authority] is not really possible since these governance models cover a range on a spectrum” (IMF 2006).

21

Examples of “others” include, among others, taxes on payroll and workforce, travel tax, selective hydrocarbon taxes, capital gains tax, fringe benefits tax, various withholding taxes, nonresident shareholders’ tax, education tax, hotel room tax, insurance surrender tax, graded tax, tourism marketing tax, technology tax, and tax on weapons.

22

Examples of “others” provided by ISORA participants includes financial police, commercial registration, provision of statistics, tourism fees, public accounts management, treasury functions, vehicle licenses, gun licenses, state laboratory services, cadaster, passport fees, trade licenses, liquor administration, public officials asset declarations, traffic fines, toll road fees, state property administration, broadcasting fees, scholarship schemes, identity checks, mining royalties, stamp duties, training levies, utilities payments, land transfer fees, immigration fees, and clearance certificates.

24

Tax Operations: includes functions both at headquarters and operating offices related to – Registration and Taxpayer Services – taxpayer registration, taxpayer services and education; Returns and Payment Processing -processing returns, processing payments (including electronic payments), reconciling accounts and processing refunds; Audit, Investigation, and Other Verification – audit, investigation and other tasks involved with verification of taxpayer statements and claims; Enforced Debt Collection and Related Functions – debt collection and enforcement; Disputes and Appeals – management of objections and appeals; and, Other Tax Operations Functions – activities not covered by the prior descriptions, for example, staff involved in interpretations and rulings. Support Activities: includes all administrative, human resource management, information technology and other overhead functions, both at headquarters and in operational offices

25

7he types of offices are headquarters—those central units not involved in operational activity; regional offices—offices reporting to headquarters that manage one or more local offices; local/branch offices—offices directly carrying out service or compliance activities; and three standalone office types—data processing centers; service centers (including call centers); and other offices.

26

The ISORA 2016 questionnaire requested the age profile for permanent staff; however, many administrations have provided information covering more than permanent staff alone.

28

The meaning of “executive” varies among tax administrations: in a few cases, particularly in very small tax administrations, the ratio of “executives” to staff is over 25 percent, whereas the lowest ratio is less than 1 in a 1,000, and thus the figures provided by participants are not necessarily comparable.

29

The small taxpayer regimes are detailed in the ISORA 2016 Guide, available on the RA-FIT Data portal.

30

On registration, TADAT assesses, among others, who must register, by law; the nature and content of the registration database; use of a taxpayer identification number; procedures for registration and deregistration; accuracy of register; detection of potential taxpayers not in register; and the extent of computerization in registration processes.

31

The complete TADAT definition reads: “A registered taxpayer from whom a tax declaration (return) is expected (i.e. ‘active’ taxpayers exclude those who have not filed a declaration within at least the last year because the case is defunct (e.g. a business taxpayer has ceased trading or an individual is deceased), the taxpayer cannot be located, or the taxpayer is insolvent).”

32

These are cases where total taxpayers on the registry are provided, but not active taxpayers, or where active taxpayers are provided but not total, or where the same number has been used for both active and total.

33

This calculation uses active taxpayers where that data is provided, or total taxpayers where active is not provided.

34

Due to the limited responses available for the Middle East and Central Asia, the percentage of “Yes” responses ranges more widely than it does for other regions.

35

For each of the 10 subject areas there could be a single standard or a group of standards. Participants are asked to self-evaluate the extent to which they have met the standard or standards for each area.

36

GDP per capita was used as a measure of income.

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ISORA 2016: Understanding Revenue Administration
Author:
William Joseph Crandall
,
Elizabeth Gavin
, and
Mr. Andrew R Masters