An event study is a statistical method to assess the impact of an event on an outcome of interest. It can be used as a descriptive tool to describe the dynamic of the outcome of interest before and after the event or in combination with regression discontinuity techniques around the time of the event to evaluate its impact.
At DIME, we have a development server called DIMEtest . If you work at DIME, you can get access to this server. See instructions below.
Selection bias occurs when participants in a program (treatment group) are systematically different from non-participants (control group). Selection bias affects the validity of program evaluations whenever selection of treatment and control groups is done non-randomly.
Checking for duplicates ensures that the answers of the survey respondent are not recorded twice. Matching field survey logs with server logs ensures that data has been fully transferred to the survey.
Remote Sensing involves the collection and interpretation of information sensed from distant objects, using usually aircrafts and satellites. It is used to sense the energy that is naturally emitted or reflected by the earth’s surface, from the atmosphere, or from other devices. Any object with a temperature above absolute zero, -273°C, emits energy called electromagnetic radiation that depends on the object’s temperature. The higher the temperature of the object, the shorter is the reflected electromagnetic radiation wavelength.
Randomized response technique protects respondents by introducing random noise.
Randomization involves assigning subjects randomly to one of two groups: the treatment group, which is receiving the policy intervention being evaluated, and the control group which is untreated. Randomizing in Excel has its advantages and disadvantages. This article gives a step-by-step guide on randomizing using Excel.
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PCA is a way to create an index from a group of variables that are similar in the information that they provide. This allows us to maximize the information we keep, without using variables that will cause multicollinearity, and without having to choose one variable among many.
Empowerment, especially of women and girls, is an important development outcome but difficult to measure. This page provides tips and resources for collecting data on empowerment.
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Preference towards risk are likely to affect individual decision-making, such as investment, purchase of health care and job change. People who care more about risk and are willing to do more to reduce their exposure to risk than others, are called "risk averse". A highly risk averse villager will likely manage livelihood activities more conservatively than a neighbor who's more willing to take risks.