Tanzania - Mainland Trunk Roads & Zanzibar Rural Roads Baseline Survey 2009

To evaluate the impact of the rehabilitation of the project roads on the socioeconomic development of the communities along the roads, the study will use a combination of propensity score matching and difference-in-differences regression. Communities along the roads scheduled for upgrades (the treatment communities) will be matched with other communities that have similar characteristics but will not benefit from the road upgrades (the comparison communities). This will result in two comparable groups of communities: one group that is situated along the roads and will receive the (benefits of) road upgrades and another group that will not. The study will obtain pre-treatment and post-treatment data on both groups of communities and compare values of key outcome variables, such as travel time, travel cost, and income.

Acronym: 
TRRRBS 2009
Type: 
Microdata
Topics: 
Topic not specified
Languages Supported: 
English
Geographical Coverage: 
Tanzania
Reference ID: 
TZA_2009_TRRRBS_v01_M
Release Date: 
October 13, 2011

Harvest Source

Harvest Source: 
Microdata

Harvest Source ID

Harvest Source ID: 
948

Last Updated

Last Updated: 
April 9, 2018
Funding Name, Abbreviation, Role: 
Millennium Challenge Corporation
Primary Investigator Name, Affiliation: 
Economic Development Initiatives (EDI) for the Millennium Challenge Corporation (MCC)
Sampling Procedure: 
For the Tanga - Horohoro road we identified 16 villages along the treatment road and 12 villages along the comparison road. Sample size for this road project was 24 villages (see Table I.1 of the survey report provided under Related Materials), spread out evenly among the treatment and the comparison road. We thus took a random sample of 12 out of 16 treatment villages. The comparison group consisted of all 12 villages along the comparison road. The listing team visited the 24 selected villages and drew up exhaustive lists of vitongoji within each village. Vitongoji were divided in two groups depending on their distance to the road and one kitongoji was randomly sampled from each group. Table I.2 shows the final sample (48 vitongoji) for the Tanga - Horohoro road project. Figures 1 and 2 in the appendix show the exact location (captured by GPS) of all surveyed vitongoji along the treatment (Figure 1 of the survey report) and comparison (Figure 2) road. For the two stretches of road on the southern Mtwara corridor we identified 18 villages that are located on or along the roads that will be upgraded and 21 villages that are located along the selected comparison roads (see subsection 2.2). Sample size for this road project was 34 villages (seeTable I.1), spread evenly among treatment and comparison roads. We thus took a random sample of 17 out of 18 treatment villages and 17 out of 21 comparison villages. The listing team visited the 34 selected villages and drew up exhaustive lists of vitongoji within each village. Vitongoji were again divided in two groups depending on their distance to the road and one kitongoji was randomly sampled from each group. Table I.3 shows the final sample (68 vitongoji) for the Mtwara corridor road project. For the longest road (Sumbawanga - Tunduma), we identified 27 villages along the treatment road and 26 villages along the selected comparison roads (see subsection 2.1). Sample size for the impact evaluation of this road was 42 villages spread out evenly among treatment and comparison roads. We thus took a random sample of 21 out of 27 treatment villages and 21 out of 26 comparison villages. Again, the listing team visited the selected villages and drew up exhaustive lists of vitongoji within each village. Vitongoji were again divided in two groups depending on their distance to the road and one kitongoji was randomly sampled from each group. Tables I.4 and I.5 show the final sample (84 vitongoji) for the Tunduma ‐ Sumbawanga road project (Table I.4 for the Tunduma - Mkutano part in Mbeya Region and Table I.5 for the Mkutano - Sumbawanga part in Rukwa Region).
Study Type: 
Impact Evaluation
Unit of Analysis: 
Household, Community

No Visualizations Available.

To evaluate the impact of the rehabilitation of the project roads on the socioeconomic development of the communities along the roads, the study will use a combination of propensity score matching and difference-in-differences regression. Communities along the roads scheduled for upgrades (the treatment communities) will be matched with other communities that have similar characteristics but will not benefit from the road upgrades (the comparison communities). This will result in two comparable groups of communities: one group that is situated along the roads and will receive the (benefits of) road upgrades and another group that will not. The study will obtain pre-treatment and post-treatment data on both groups of communities and compare values of key outcome variables, such as travel time, travel cost, and income.

Dataset Info

These fields are compatible with DCAT, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.
FieldValue
Modified Date
2018-04-09
Release Date
December 31,1969
Identifier
27ecc517-ae07-436b-8cb4-9a27e10e65eb
License
License Not Specified
Rating: 
0
No votes yet
Reference ID: 
TZA_2009_TRRRBS_v01_M
Acronym: 
TRRRBS 2009
Type: 
Languages Supported: 
Access Authority Name, Affiliation, Email: 
Monitoring and Evaluation Division, Millennium Challenge Corporation, impact-eval@mcc.gov, https://catalog.data.gov/dataset/tanzania-mainland-trunk-roads
Disclaimer: 
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Time Periods: 
August, 2017
Primary Investigator Name, Affiliation: 
Economic Development Initiatives (EDI) for the Millennium Challenge Corporation (MCC)
Terms of Use: 
Unit of Analysis: 
Household, Community
Geographical Coverage: 
Data Classification of a Dataset: 
Sampling Procedure: 
For the Tanga - Horohoro road we identified 16 villages along the treatment road and 12 villages along the comparison road. Sample size for this road project was 24 villages (see Table I.1 of the survey report provided under Related Materials), spread out evenly among the treatment and the comparison road. We thus took a random sample of 12 out of 16 treatment villages. The comparison group consisted of all 12 villages along the comparison road. The listing team visited the 24 selected villages and drew up exhaustive lists of vitongoji within each village. Vitongoji were divided in two groups depending on their distance to the road and one kitongoji was randomly sampled from each group. Table I.2 shows the final sample (48 vitongoji) for the Tanga - Horohoro road project. Figures 1 and 2 in the appendix show the exact location (captured by GPS) of all surveyed vitongoji along the treatment (Figure 1 of the survey report) and comparison (Figure 2) road. For the two stretches of road on the southern Mtwara corridor we identified 18 villages that are located on or along the roads that will be upgraded and 21 villages that are located along the selected comparison roads (see subsection 2.2). Sample size for this road project was 34 villages (seeTable I.1), spread evenly among treatment and comparison roads. We thus took a random sample of 17 out of 18 treatment villages and 17 out of 21 comparison villages. The listing team visited the 34 selected villages and drew up exhaustive lists of vitongoji within each village. Vitongoji were again divided in two groups depending on their distance to the road and one kitongoji was randomly sampled from each group. Table I.3 shows the final sample (68 vitongoji) for the Mtwara corridor road project. For the longest road (Sumbawanga - Tunduma), we identified 27 villages along the treatment road and 26 villages along the selected comparison roads (see subsection 2.1). Sample size for the impact evaluation of this road was 42 villages spread out evenly among treatment and comparison roads. We thus took a random sample of 21 out of 27 treatment villages and 21 out of 26 comparison villages. Again, the listing team visited the selected villages and drew up exhaustive lists of vitongoji within each village. Vitongoji were again divided in two groups depending on their distance to the road and one kitongoji was randomly sampled from each group. Tables I.4 and I.5 show the final sample (84 vitongoji) for the Tunduma ‐ Sumbawanga road project (Table I.4 for the Tunduma - Mkutano part in Mbeya Region and Table I.5 for the Mkutano - Sumbawanga part in Rukwa Region).
Release Date: 
Thursday, October 13, 2011
Last Updated Date: 
Monday, April 9, 2018
Harvest Source: 
Harvest Source ID: 
948
Modified date: 
17630
Study Type: 
Impact Evaluation
Primary Dataset: 
Yes
Mode of Data Collection: 

Face-to-face

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