The College of Social Sciences, University of Dar es Salaam will organize its First Annual Conference titled the Voice of Social Sciences from 17 to 18 November 2014 in Dar es Salaam. The Conference…
New deadline for EfD's 2015 proposal submission is June 1, 2014. All proposals must be presented in the respective EfD Center Workshops before submission. In the documents we submitted to Sida, we…
The EfD initiative is committed to produce high quality research and active international research interaction. This is achieved by creating an environment where discussions can take place openly…
In this work, we undertook an integrated assessment of water and forest ecosystem to develop the value-based sustainability indicators (VBSI) of watershed resource.
Randomized controlled trials (RCTs) in the social sciences are typically not double-blind, so participants know they are “treated” and will adjust their behavior accordingly. Such effort responses complicate the assessment of impact.
This paper investigates impact heterogeneity in the adoption of improved maize varieties using data from rural Tanzania. We used a generalized propensity-score matching methodology, complemented with a parametric econometric method to check the robustness of results.
Charcoal is the most commonly used cooking fuel for urban households in Tanzania. But charcoal use has complex implications for climate change, poverty, and health. “Cutting trees to make charcoal is
To understand variables that link the welfare, livelihood and the watershed is crucial when instituting the integrated watershed management. This requires having indicators to show changes of the condition of the welfare, livelihoods and watershed resources. However, the combination of livelihoods and welfare of the local communities who depend largely on watershed resources for income, food, energy and shelter have not been adequately considered elsewhere.
The study considers the inclusion of dummy explanatory variables (in regression estimation) in both cross –section and time series data. In survey data, a continuous variable may be categorized into a dummy variable dataset whenever the quality, reliability and internal consistency of the continuous data is put into question. In the process of categorization, vita information may be compromised: in other words there is loss of information. Furthermore, an arbitrary choice of cutoff points may yield different regression estimates depending on the cutoff point.
Recent economic growth in Tanzania has not been matched by a corresponding reduction in poverty when compared with similar episode of growth in countries such as Uganda, Ghana, etc. This has raised heated debate, whereby some analysts argue that problem lies on the GDP is compiled, and other on the validity of Household Budget Survey (HBS) data. This paper contributes to that debate by analyzing the distribution of upper tail observation using he Generalized Pareto Distributions show that HBS 2007 is characterized by extreme values of per capita expenditure when compares to 2001.