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The World Bank Group in Tanzania

Appendix A. Methodology

Table A.1. Evaluation Design Matrix

Evaluation Questions

Methods and Approaches

Trend analysis

Theory of change

Relevance

Effectiveness

Evaluation question 1. How relevant to the development needs of Tanzania was the World Bank Group–supported strategy, and did it evolve appropriately over time to reflect changing priorities and changes in country context?

Source: Independent Evaluation Group.

The Country Program Evaluation used a mixed methods approach to triangulate evidence and answer the evaluation questions. Based on three design principles—theory, strength of evidence, and causal analysis—the evaluation followed four analytic steps in the evaluation of the World Bank Group support to Tanzania.

First, the team reviewed, categorized, and synthesized information from key diagnostics reports produced by the Bank Group, government, academia, and development partners to identify the main development challenges in each area of focus of the evaluation.

Second, the team reviewed, categorized, and synthetized Bank Group project documents to identify which developmental challenges and which specific constraints the Bank Group supported during the evaluation period, and what evidence of achievement of pursued outcomes could be documented.

Third, the team reconstructed the main pathways to country outcomes pursued by the Bank Group using the information collected in the previous steps and the information gathered through interviews.

Finally, by complementing the evidence gathered in the previous steps with statistical analysis, review of project ratings and performance indicators, and assessment of trends in high-level outcomes, the team assessed the relevance of the Bank Group support and determined the Bank Group’s contribution to the achievement of development outcomes along the causal pathways identified by the results chain.

In performing the aforementioned analytic steps, the evaluation team used the following methods:

  1. Content analysis of project documents and analytic literature. The team extracted relevant information from Bank Group projects, reports, and country engagement documents, as well as relevant documents from the government, academia, and development partners. The team codified and analyzed the gathered evidence to reconstruct a results chain and test its validity. This approach was used to answer evaluation questions 1, 2, and 3.
  2. Qualitative analysis of interviews. The team interviewed Bank Group management and staff, selected government officials, and private sector representatives. Additional interviews were conducted with civil society organizations and other development partners. Interviews were virtual or in person and were conducted in accordance with techniques that ensure objectivity and impartiality. Behavioral norms were followed to ensure the highest possible level of participation. This approach was used to answer evaluation questions 1, 2, and 3.
  3. Statistical analysis. The team researched, gathered, and analyzed official statistics from different governmental and nongovernmental agencies (for example, the World Bank, the International Monetary Fund, Tanzania’s National Bureau of Statistics, and the Tanzania Commission for Universities) and enterprise surveys data to detect trends in sectoral outcomes related to the Bank Group support. This approach was used to answer evaluation questions 1, 2, and 3.
  4. Geospatial analysis. The team used the geospatial analysis to assess whether climate resilience considerations were taken into consideration in the design of the Bus Rapid Transit phase 1. See the detailed description in appendix B. This approach was used to answer evaluation question 3.
  5. Results chain. The evaluation articulated a results chain to identify the different pathways of the Bank Group’s interventions to outcomes. The content analysis of project documents to identify program descriptions and program implementation was used to reconstruct the selection, design, and sequence of Bank Group support, identify the relevance of the Bank Group’s engagement and the contributions of Bank Group activities, and trace the causal logic of how and why the implemented program reached its intended outcomes. This approach was used to answer evaluation questions 2 and 3.
  6. Dynamic benchmarking tool. This is a tool developed by the Macroeconomics, Trade, and Investment Global Practice for benchmarking across countries, time, and variables. It allows the identification of structural and aspirational benchmarks for countries to compare their performance across various dimensions. More specifically, this tool helps users to (i) identify comparators, (ii) benchmark countries according to specific parameters, and (iii) plot all the desired variables on a single figure. The tool can benchmark a country with respect to structural peer countries (for example, countries with similar structural characteristics as the country of interest during a certain period); aspirational peers (for example, countries with similar structural characteristics as the country of interest during a certain period but that grew—in per capita terms—significantly faster over time); or a predefined set of comparator countries. It can even be used to conduct an event study analysis. In this analysis, the structural variables used to identify benchmarks were real GDP per capita growth (annual, percent); total investment (percent GDP); inflation (GDP deflator, percent); regulatory quality (estimate); terms-of-trade; and foreign direct investment inflows (percent GDP). This approach was used to identify comparator countries in chapter 1.