The exact schedule, sequencing, and topics will be finalized
before training begins, but the information below should give prospective
students a general map of what we will cover in the training.
BOLIVIA
·
Model
o Causality
o Definition of outcome and
explanatory variables
o Biases
§
Omitted
variable
§
Endogeneity
§
Random
measurement error
o Randomized experimental design
§
Properties
of good intervention
§
Randomizing
the intervention
§
Advantages
and disadvantages of randomization
·
Data
collection
o Inter-coder reliability
o Data entry
o Data management
·
Village-level
data
o Prices for assets and key crops
o Distance
o GPS readings
o Population size
·
Economic
o Cash earnings
o Consumption
o Barter
o Wealth in traditional and modern
physical assets
o Credit access
o Income shocks
o Responses to shocks
o Weigh days
·
Agriculture
and natural resources
o Area deforested
o Measurement of plots
o Yield of selected crops
o Losses from pests and diseases
·
Folk
knowledge
o Triad, pair-comparison, and
multiple choice
o Use of ANTHROPAC
o Uses of knowledge and factual
knowledge
·
Human
capital
o Assessing academic skills
o Schooling and years completed
·
Instrumental
variables
o Assessing IVs for income, wealth,
and market participation
o Tests of adequacy of IVs
·
Nutritional
status and objective health
o Anthropometric measures of long and
short-run nutritional status
o 24-hour dietary recall
o Bio-markers of health
·
Synthesis
and general (see under Zambia)
ZAMBIA
- Household-level data collection
- Demographic - economic
- Anthropometrics
- Food and nutrition security
- Farm - field histories
- Land tenure history
- Migration history
- Linkage to GIS - remote sensing - mapping
- Community-level data collection
- Village history
- Political Organization
- Development presence
- GIS- remotes sensing - mapping
- Field notes and interviews
- Surveys / questionnaires
- Nutritional assessment
- Imagery and mapping
- Preliminary analysis and write up
- Present / share findings with community
- Human subjects, IRB and ethics in fieldwork
- Logistics & mechanics of field work in
remote areas
- Management of research team
- Research collaboration / cooperation