This study examined impact of agricultural cooperative membership on technical efficiency, income, and costs of coffee farmers in Southern Shan State, Myanmar. Using stochastic frontier analysis (SFA) and propensity score matching (PSM) methods, this study estimated average treatment effect on the treated of agricultural cooperative participation. Results showed that technical efficiency, total income, and total variable costs were significantly higher for cooperative members than for comparable non-members. However, net income of members is not significantly different from that of comparable non-members.

ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
    Stochastic Frontier Analysis (SFA)
    Propensity Score Matching
    Data Collection
    Measurement of the Variables
RESULTS AND DISCUSSION
    Descriptive statistics
    Logistic estimation of the propensity score and matching
    Estimation of the technical efficiency
    The average impact of cooperative membership ontechnical efficiency, income and cost
    Robustness test
CONCLUSIONS
적 요
REFERENCES

• Ji Yong Lee(Department of Agricultural and Resource Economics, Kangwon National University, Chuncheon-si 24341, Korea) | 이지용 (농업자원경제학과 강원대학교) Corresponding author
• Yin Lei Win Swe(Department of Applied Economics, Monywa University of Economics, Monywa, Myanmar, Department of Agricultural and Resource Economics, Kangwon National University, Chuncheon-si 24341, Korea) | 린 레 웬 슈에 (응용경제학과 모니와경제대학교, 농업자원경제학과 강원대학교)