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Evaluating the Dairy Value Chain Project
    in Bangladesh: Baseline Study

                      Akhter Ahmed
       International Food Policy Research Institute

              Seminar at CARE-Bangladesh
                         Dhaka
                     May 28, 2009
Storyline
    SDVCP objectives
    Evaluation methodology
    Baseline data
    Characteristics of survey households
    Gender related issues
    Dairy farming practices
    Qualitative review of value chain actors




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
SDVCP objectives

1. Improve milk collection systems in rural and remote
   areas
2. Improve access to inputs, markets, and services by
   mobilizing groups of poor farmers, producers, and char
   dwellers
3. Improve the milk transport network
4. Ensure access to quality service at the producer level
5. Improve the policy environment




INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
The baseline study

    CARE has commissioned IFPRI to conduct a thorough
    evaluation of the SDVCP that would allow CARE to make
    informed decision of whether to close, revise, extend, or
    expand the SDVCP
    CARE has also contracted the Data Analysis and
    Technical Assistance Limited (DATA) to collect
    quantitative and qualitative information for the evaluation,
    under guidance and supervision of IFPRI
    This baseline study is a part of the evaluation. It was
    specifically designed to permit a scientific and rigorous
    evaluation of impacts of the SDVCP through follow-up
    studies

INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
Impact Evaluation Methodology

 Impact is the difference between outcomes (e.g., income,
 school enrollment, women’s empowerment, etc) with the
 program and without it
 The goal of impact evaluation is to measure the this
 difference in a way that can attribute the difference to the
 program, and only the program
 Use Difference-in-differences method that compares
 observed changes in the outcomes for program participants
 (treatment) and non-participating comparison group
 (control), before and after the program
 Combine with propensity score matching to adjust for pre-
 program differences


INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
Propensity Score Matching (PSM)

    Match program participants (treatment) with non-
    participants (control) at baseline (before intervention)
         Each program participant will be paired with a non-participant that
         is similar
    Use PSM to pick an ideal comparison group from the
    baseline survey data
    The comparison group will be matched to the treatment
    group using “propensity score”
         Propensity score is predicted probability of participation given
         observed pre-program characteristics of participants and non-
         participants



INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
Illustrating Difference-in-Difference
         Estimate of Average Program Effect


                                                           PA
      
                                                                   Impact = (PA - CA) - (PB - CB)
                                   Program


                                                           CA

                                    Control




                                                           PB=CB
             Baseline                          Follow-up
             (Before)                           (After)



INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
Constructing the counterfactual:
                Two control groups

    The control or comparison groups are comprised of eligible
    but non-participant households
    Two control or comparison groups of households have
    been created to assess the impact and to capture the
    potential spillover effects
         The nature of SDVCP interventions may generate spillover effect
         of the project. For example, if new dairy production technologies
         are introduced, non-beneficiaries may copy these
    Control 1 households have been selected from unions
    where the SDVCP is operating
    Control 2 households have been selected from upazilas
    without any milk chilling pants in the nine project districts
INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
Baseline data
 Used both quantitative and qualitative data for the baseline
 study
 Quantitative data came from a comprehensive household
 survey designed by IFPRI and carried out by DATA
 The survey questionnaire was designed to collect
 information on multiple topics, including household
 demographic composition, level of education, school
 participation, occupation and employment, dwelling
 characteristics, assets, food and nonfood expenditures,
 morbidity, economic shocks, anthropometric measurements
 of children and women, and a detail module on dairy farming
 practices

INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
Baseline data …
 The household survey was carried out in 9 SDVCP districts,
 27 upazilas, and 60 villages
 Sample size: Determined by power calculation with design
 effect. Total sample of 1,510 households, of which 659
 program participants, 425 Control 1, and 426 Control 2
 households
  Survey started on August 20, 2008, and completed on
 September 14, 2008. Data entry completed by end October.
 Data cleaning, including logical consistency checking and
 data validation completed by mid-January 2009
 Qualitative data collection: Used key-informant interview,
 focus group discussion, and observation methods

INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE

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SDVC Project Evaluation Design_Establishing Two Counterfactuals

  • 1. Evaluating the Dairy Value Chain Project in Bangladesh: Baseline Study Akhter Ahmed International Food Policy Research Institute Seminar at CARE-Bangladesh Dhaka May 28, 2009
  • 2. Storyline SDVCP objectives Evaluation methodology Baseline data Characteristics of survey households Gender related issues Dairy farming practices Qualitative review of value chain actors INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
  • 3. SDVCP objectives 1. Improve milk collection systems in rural and remote areas 2. Improve access to inputs, markets, and services by mobilizing groups of poor farmers, producers, and char dwellers 3. Improve the milk transport network 4. Ensure access to quality service at the producer level 5. Improve the policy environment INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
  • 4. The baseline study CARE has commissioned IFPRI to conduct a thorough evaluation of the SDVCP that would allow CARE to make informed decision of whether to close, revise, extend, or expand the SDVCP CARE has also contracted the Data Analysis and Technical Assistance Limited (DATA) to collect quantitative and qualitative information for the evaluation, under guidance and supervision of IFPRI This baseline study is a part of the evaluation. It was specifically designed to permit a scientific and rigorous evaluation of impacts of the SDVCP through follow-up studies INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
  • 5. Impact Evaluation Methodology Impact is the difference between outcomes (e.g., income, school enrollment, women’s empowerment, etc) with the program and without it The goal of impact evaluation is to measure the this difference in a way that can attribute the difference to the program, and only the program Use Difference-in-differences method that compares observed changes in the outcomes for program participants (treatment) and non-participating comparison group (control), before and after the program Combine with propensity score matching to adjust for pre- program differences INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
  • 6. Propensity Score Matching (PSM) Match program participants (treatment) with non- participants (control) at baseline (before intervention) Each program participant will be paired with a non-participant that is similar Use PSM to pick an ideal comparison group from the baseline survey data The comparison group will be matched to the treatment group using “propensity score” Propensity score is predicted probability of participation given observed pre-program characteristics of participants and non- participants INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
  • 7. Illustrating Difference-in-Difference Estimate of Average Program Effect PA   Impact = (PA - CA) - (PB - CB) Program CA Control PB=CB Baseline Follow-up (Before) (After) INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
  • 8. Constructing the counterfactual: Two control groups The control or comparison groups are comprised of eligible but non-participant households Two control or comparison groups of households have been created to assess the impact and to capture the potential spillover effects The nature of SDVCP interventions may generate spillover effect of the project. For example, if new dairy production technologies are introduced, non-beneficiaries may copy these Control 1 households have been selected from unions where the SDVCP is operating Control 2 households have been selected from upazilas without any milk chilling pants in the nine project districts INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
  • 9. Baseline data Used both quantitative and qualitative data for the baseline study Quantitative data came from a comprehensive household survey designed by IFPRI and carried out by DATA The survey questionnaire was designed to collect information on multiple topics, including household demographic composition, level of education, school participation, occupation and employment, dwelling characteristics, assets, food and nonfood expenditures, morbidity, economic shocks, anthropometric measurements of children and women, and a detail module on dairy farming practices INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE
  • 10. Baseline data … The household survey was carried out in 9 SDVCP districts, 27 upazilas, and 60 villages Sample size: Determined by power calculation with design effect. Total sample of 1,510 households, of which 659 program participants, 425 Control 1, and 426 Control 2 households Survey started on August 20, 2008, and completed on September 14, 2008. Data entry completed by end October. Data cleaning, including logical consistency checking and data validation completed by mid-January 2009 Qualitative data collection: Used key-informant interview, focus group discussion, and observation methods INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE