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Regression discontinuity designs in agricultural and environmental economics
被引:15
|作者:
Wuepper, David
[1
]
Finger, Robert
[1
]
机构:
[1] Swiss Fed Inst Technol, Agr Econ & Policy Grp, Zurich, Switzerland
关键词:
regression discontinuity design;
difference-in-discontinuities;
causal inference;
EMPIRICAL-EVIDENCE;
EXTERNAL VALIDITY;
SATELLITE DATA;
ADOPTION;
SPILLOVERS;
TECHNOLOGY;
IRRIGATION;
POLICIES;
D O I:
10.1093/erae/jbac023
中图分类号:
F3 [农业经济];
学科分类号:
0202 ;
020205 ;
1203 ;
摘要:
Regression discontinuity designs (RDD) are increasingly being employed in agricultural and environmental economics to identify causal effects. Here, we showcase recent applications, identify best practices, discuss commonly invoked identifying assumptions and show how these can be tested. We discuss basic empirical issues and more advanced topics, including how to exploit the availability of panel data, models to explain heterogeneous treatment effects and extrapolation of local estimates. Moreover, we show how agricultural economists can leverage RDD in combination with remote sensing and environmental modelling. Finally, we highlight three areas of emerging opportunities and draw conclusions for research and policy.
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页码:1 / 28
页数:28
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