Institutional Sources • Index Principles • Data Gaps • Time Coverage • Neutrality • Replicability
Section 47.0
Purpose and Disclosure Framework
Transparency as Foundation
This section documents the data foundations, index construction logic, and methodological boundaries underpinning the Mauritius Outlook 2024–2029. Its purpose is transparency. Every quantitative statement, index reference, or comparative assessment in this report is grounded either in institutionally published data or is explicitly identified as a reasoned analytical inference where official data are absent.
This section documents the data foundations, index construction logic, and methodological boundaries underpinning the Mauritius Outlook 2024–2029. Its purpose is transparency. Every quantitative statement, index reference, or comparative assessment in this report is grounded either in institutionally published data or is explicitly identified as a reasoned analytical inference where official data are absent.
No proprietary databases, confidential government data, or non-verifiable sources have been used. Where data gaps exist, they are stated plainly rather than interpolated or inferred. This section therefore functions as both a technical annex and an accountability ledger.
Section 47.1
Primary Institutional Data Sources
The Outlook relies on the following primary institutional sources, selected for credibility, continuity, and international comparability:
Statistics Mauritius
Used for national accounts, labour force surveys, CPI inflation, household budget surveys, demographic statistics, and selected sectoral indicators. Where preliminary results are cited, they are identified as such.
Bank of Mauritius
Used for inflation outlooks, monetary policy statements, balance of payments aggregates, exchange rate regime descriptions, and selected financial sector indicators. Disaggregated household debt or firm-level credit data are noted as unavailable where not published.
World Bank Group
World Development Indicators, Worldwide Governance Indicators, Doing Business archives, Enterprise Surveys, and selected sector diagnostics. Discontinued series such as Doing Business are clearly labelled as historical and interpreted with caution.
International Monetary Fund
Article IV consultation reports, selected issues papers, and macroeconomic projections where explicitly published. No IMF subscription-only datasets were used.
OECD
Investment Policy Reviews and governance assessments where Mauritius is covered. Used primarily for structural and comparative insights rather than time-series indicators.
International Labour Organization
ILOSTAT indicators for employment, wages, and labour participation where available. Absence of youth entrepreneurship or informal employment breakdowns is explicitly noted.
UN Agencies and Databases
UN Comtrade and WITS for trade composition and partner concentration. UN Population Division for migration indicators where referenced.
Independent but Institutionally Anchored Compilations
In limited cases, secondary compilations drawing directly from institutional sources are used for descriptive context, and are clearly identified as such.
Section 47.2
Index Construction Principles
Several composite or conceptual indices appear in this Outlook. These follow a consistent construction philosophy:
1st
Indices are explanatory tools, not predictive engines
2nd
Indices never substitute for raw data but sit alongside it
3rd
Indices are built only where sufficient underlying indicators exist or where the absence of indicators itself is analytically meaningful
Construction Standards
Where indices are constructed, the following principles apply:
Inputs: Institutionally published indicators only. No unofficial sources, estimates, or proprietary data used in composite construction.
Weights: Equal unless a strong empirical or theoretical justification exists. Weighting schemes disclosed explicitly where non-equal.
Scores: Normalised for comparability across time or peer countries using transparent methodologies enabling replication.
Ranges and thresholds: Explicitly stated with clear boundaries preventing arbitrary interpretation.
No hidden smoothing: No subjective scoring applied—all transformations documented and reproducible.
Examples include composite stress indicators, vulnerability groupings, or scenario frameworks. These are described as analytical constructs rather than official statistics.
Section 47.3
Treatment of Data Gaps
A defining feature of the Mauritius Outlook is the systematic identification of what is not measured. Where official data are missing, discontinued, unpublished, or inaccessible, the report uses one of three approaches:
✗
Explicit Absence Statements
Direct acknowledgment where no public dataset exists, clearly stating measurement unavailability rather than obscuring gaps through workarounds.
Example: No public dataset exists for household debt service ratios, SME survival rates, or energy import dependence post-2016—stated explicitly
↔
Proxy Indicators
Used sparingly and only where conceptually sound, with relationship between proxy and concept clearly articulated and limitations acknowledged.
Example: Using trade shares to infer exposure, or governance indices to contextualise institutional trust—proxy relationship transparent
📋
Qualitative Institutional Interpretation
Applied where policy documents, budget statements, or international reviews describe trends without quantification, framed descriptively not numerically.
Example: Policy narratives describing trends without published data—interpreted qualitatively with explicit sourcing
No Synthetic Data, Back-Casting, or Unofficial Estimates: This Outlook maintains strict prohibition against introducing synthetic data, back-casting missing time series, or incorporating unofficial estimates to fill gaps. When official institutions do not publish data, this report does not manufacture substitutes. Instead, data absence is treated as analytical finding requiring explanation rather than technical problem requiring workaround. This stance reflects methodological conservatism prioritizing credibility over completeness—readers should understand what is genuinely known versus what remains uncertain, enabling informed judgment rather than false precision that obscures measurement limitations.
Section 47.4
Time Coverage and Comparability
The Outlook primarily covers the period 2015–2025, with forward-looking scenarios extending to 2029. However, not all indicators span this full window. In such cases:
•
The exact years covered are stated alongside the data—no assumption of continuity where gaps exist
•
Breaks in series due to methodological changes or discontinuations are flagged explicitly
•
Comparisons across time are avoided where definitions change materially
•
Historical indicators discontinued after 2020, such as the World Bank Doing Business rankings, are used only to illustrate shifts in reputation versus reality, not as current performance measures
Section 47.5
Neutrality and Analytical Boundaries
This report maintains a neutral, evidence-based posture. Where structural critiques are advanced, they are grounded in:
Published Assessments
Published institutional assessments from recognized organizations
Data Asymmetries
Observed data asymmetries and measurement inconsistencies
Measurement Gaps
Persistent measurement gaps requiring explanation
Longitudinal Trends
Longitudinal trends rather than episodic events
Normative judgments are avoided. Policy implications are framed as options rather than prescriptions. Attribution of intent to institutions or actors is avoided unless directly supported by official records or judicial findings.
Section 47.6
Replicability and Future Updates
All sources cited are publicly accessible at the time of writing. An informed reader with access to institutional databases should be able to replicate the core empirical findings.
Future updates to this Outlook will be logged in Section 46, with changes to data sources, revised indicators, or updated series documented explicitly.
The methodological stance of this report is conservative by design. Where uncertainty exists, it is retained rather than resolved artificially. In an environment where narratives often outrun evidence, this report treats restraint as a feature, not a limitation. Analytical credibility derives not from eliminating uncertainty through methodological manipulation but from acknowledging what remains genuinely unknown while rigorously documenting what can be verified through institutional sources. This conservative posture serves readers across constituencies—policymakers benefit from honest assessment of evidence quality, investors gain realistic rather than optimistic projections, citizens receive transparent rather than reassuring narratives, and researchers access foundations enabling independent verification and critique.
Section 47 Summary: Section documents data foundations, index construction logic, methodological boundaries ensuring transparency—every quantitative statement grounded in institutionally published data or explicitly identified as reasoned inference where official data absent, with no proprietary databases, confidential government data, or non-verifiable sources used. Primary institutional sources: Statistics Mauritius (national accounts, labour, CPI, household surveys, demographics), Bank of Mauritius (inflation, monetary policy, balance of payments, exchange rates), World Bank (WDI, governance, Doing Business archives, Enterprise Surveys), IMF (Article IV, selected issues, projections), OECD (investment reviews, governance), ILO (employment, wages, participation), UN (Comtrade/WITS trade, Population Division migration). Index construction principles: explanatory tools not predictive engines, never substitute raw data, built only where sufficient indicators exist, using institutionally published inputs only, equal weights unless justified, normalized scores for comparability, explicit ranges/thresholds, no hidden smoothing. Data gap treatment: explicit absence statements (household debt, SME survival, energy dependence post-2016), proxy indicators used sparingly where conceptually sound, qualitative institutional interpretation for policy narratives—no synthetic data, back-casting, or unofficial estimates introduced. Time coverage 2015–2025 with scenarios to 2029, exact years stated, series breaks flagged, comparisons avoided where definitions change, discontinued indicators (Doing Business) used only historically. Neutrality maintained through grounding critiques in published assessments, observed asymmetries, persistent gaps, longitudinal trends—normative judgments avoided, policy implications framed as options, intent attribution avoided absent official records. Replicability: all sources publicly accessible, informed readers can replicate core findings, future updates logged in Section 46. Methodological conservatism: uncertainty retained rather than artificially resolved, restraint treated as feature not limitation, credibility from acknowledging unknowns while rigorously documenting verifiable evidence.
Section 47 of 50 • Mauritius Real Outlook 2025–2029 • The Meridian