Advancing Economics &
Research Excellence
Graduate-level courses, statistical tools, publications and research advisory services — by Dr. Urgessa Tilahun Bekabil, Professor of Economics.
Everything You Need to Excel
A complete academic ecosystem for postgraduate students and researchers in economics and project management.
Advanced Econometrics
Time-series modelling, panel data, and advanced regression techniques for graduate-level research.
Research Methods
Systematic review, quantitative & qualitative methodologies, academic writing and citation.
Statistical Software
Hands-on tutorials for Stata, EViews and SPSS covering applied econometric analysis.
Environmental Policy
Cost–benefit analysis and impact evaluation for environmental and natural resource policies.
Public Sector Economics
Public expenditure, fiscal policy, tax analysis and government programme evaluation.
Business Plan Dev
Feasibility studies, market research, financial projections and investor-ready business plans.
Graduate & Professional Programs
Advanced Econometrics
OLS, panel data, IV estimation, time-series and cointegration analysis for Development Economics students.
Advanced Research Methods
Research design, literature review, sampling, hypothesis testing and academic manuscript preparation.
Project Planning & Scheduling
Project lifecycle, WBS, CPM/PERT, resource allocation, risk management and MS Project integration.
Master the Tools Researchers Use
Stata
A comprehensive statistical suite widely used in economics, epidemiology and social sciences. Master data manipulation, regression, panel-data commands and publication-quality graphics.
Stata MaterialsEViews
The leading econometrics software for time-series and forecasting. Covers ARIMA, VAR, VECM, GARCH and macro-econometric model building.
EViews MaterialsSPSS
IBM SPSS for survey analysis, descriptive statistics, factor analysis and non-parametric tests — essential for monitoring & evaluation professionals.
SPSS MaterialsReady to Elevate Your Research?
Join hundreds of students accessing lecture notes, datasets, and tutorial videos — completely free.