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Tanzania - Governance and Anticorruption

Metadata Updated: February 10, 2021

The methodologies employed by the evaluation are both quantitative and qualitative. Wherever possible, we obtain data and employ an identification strategy with which to estimate the causal effect of a given intervention. Data are collected from program participants, and data collection was handled by EcomResearch – a Dar es Salaam based research firm. Because data is often unavailable, and because randomization was never employed in treatment assignment, such causal estimations are sometimes impossible. Where quantitative methods cannot be used to assess the effect of an intervention, we employ qualitative methods. We conduct interviews with program participants, engage in document review, and – in some cases – conduct semi-structured field interviews to assess the implementation and sustainability of a given intervention. We also examine the logical link between the intervention and the reduction of corruption, in light of related academic literatures. The quantitative methods employed in this evaluation give precise estimates of the effect of training on a narrowly defined quantity of interest. Qualitative methods, on the other hand, cannot give as precise an estimate, but may incorporate a broader variety of factors than quantitative estimation allows.

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

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Dates

Metadata Created Date November 12, 2020
Metadata Updated Date February 10, 2021

Metadata Source

Harvested from MCC Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date February 10, 2021
Publisher Millennium Challenge Corporation
Unique Identifier Unknown
Maintainer
Identifier DDI-MCC-TZA-thrshld-2011-1.1
Data Last Modified 2018-03-08
Public Access Level public
Bureau Code 184:03
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id f9a9bd8b-1ad9-4ea9-8846-b06914885155
Harvest Source Id 23cd936b-e509-46f3-af7f-71c4ab01a514
Harvest Source Title MCC Data.json
Homepage URL https://data.mcc.gov/evaluations/index.php/catalog/75
License https://data.mcc.gov/terms-and-conditions.php
Program Code 184:000
Source Datajson Identifier True
Source Hash e0201bf5b8adbb405973105313a402f167f6c025
Source Schema Version 1.1

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