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SPILLOVER EFFECT OF QUANTITATIVE EASING: CASE OF UKRAINE by Anton Shrivel A thesis submitted in partial fulfillment of the requirements for the degree of MA in Economic Analysis Kyiv School of Economics 2018Thesis
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Identify the treatment group and control group for the quantitative study
02
Calculate the average treatment effect by comparing the outcomes of the treatment group to the control group
03
Determine if there is a spillover effect by looking at any unintended impacts on individuals not directly in the treatment group
04
Analyze the magnitude and significance of the spillover effect using appropriate statistical methods

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Researchers conducting quantitative studies looking to understand the full impact of a treatment or intervention
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Policy makers interested in evaluating the ripple effects of an intervention on a larger population
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The spillover effect of quantitative refers to the impact that changes in one quantitative variable have on other related variables.
In general, institutions and organizations involved in quantitative analysis and decision-making are required to file the spillover effect of quantitative.
To fill out the spillover effect of quantitative, one must accurately report the changes in quantitative variables and their impact on other related variables.
The purpose of spillover effect of quantitative is to understand how changes in one variable can affect other variables and make informed decisions based on this analysis.
The information reported on spillover effect of quantitative includes the quantitative variables affected, the magnitude of the effect, and any resulting changes in related variables.
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