The Statistics and Survey Division at the Institute of Statistical, Social and Economic Research (ISSER), University of Ghana in collaboration with the International Food Policy Research Institute (IFPRI) will undertake a capacity building workshop on methods for research in agricultural markets from 15th to 17th January, 2018. Table 1 below spells out the content of the workshop especially, the topics to be treated on each day

 Table 1

Day 1

Topic: Data and methods in agricultural marketing research, value chain analysis, gender analysis

The first module will focus on agricultural value chain analysis and multimarket models.  In addition to outlining the main concepts, tools, and data sources for value chain analysis, the course will use an Excel-based models to simulate the impact of policy and weather-related shocks on four inter-related agricultural markets. 

Day 2

Topic: Using Stata to analyze household survey data

The second module will cover survey design and data analysis. Survey design includes the questionnaire design and random sampling.  For the data analysis component, we will provide an introduction to Stata, including exercises using data from an IFPRI survey carried out in 2016.  Stata software (under a temporary license) will be provided to all participants to be installed on their laptop computers. 

 Day 3

Topic: Price analysis, impact evaluation

The third module will provide an overview of impact evaluation methods.  It will explain the methods behind randomized control trials, along with their advantages and disadvantages.  It will also cover natural experiments and quasi-experimental methods, including the assumptions behind them.

Venue: ISSER CONFERENCE FACILITY, LEGON, ACCRA

Prospective participants and required backgrounds:  This workshop targets current Masters, MPhil and PhD (2nd and 3rd year) students from the University of Ghana and other universities in Ghana, who are pursuing their programmes within the social science disciplines and Agriculture as well as lecturers and research fellows. Applicants should have basic understanding of data analysis (SPSS, Stata, or R) and basic regression analysis.  Selection will be based solely on these background characteristics.

Number of participants: Through a competitive selection process, between 25 to 30 applicants will be selected.

Costs:  Absolutely FREE. Lunch and snacks will be provided.

Application Procedure: Applicants must complete the online application form, ensuring that all requested pieces of information are submitted on or before the closing date.

Closing date for application: 15th December 2017.

Feedback to applicants: All applicants will be notified by the 22nd December 2017 on the outcome of their applications.

What is expected of selected applicants: (i) They will be required to bring along their laptop computers; and (ii) They will be required to attend and participate in all the workshop activities for the 3 days.