Instruction: Outline a detailed plan for conducting an interrupted time series analysis to assess the causal impact of new financial regulations on the rate of fintech innovations.
Context: This question assesses the candidate's capability to design a robust causal inference study using interrupted time series analysis, a method particularly useful in evaluating the effect of interventions that occur at a specific point in time. The candidate should address data requirements, potential confounders, and how to statistically determine the impact of the regulatory change.
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To begin with, the first step in designing an ITSA is to clearly define our outcome variable, which in this context is the 'rate of fintech innovations.' This can be operationalized through several proxies, such as the number of fintech patents filed, the volume of venture capital investments in fintech startups, or the number of new fintech products/services launched. Each of these metrics offers a different lens through which to view innovation, and the choice of metric should be informed by the availability and reliability of data. For simplicity, let's consider the number of fintech patents filed as our primary outcome variable.
Next, we must identify the specific regulatory change we wish to study and pinpoint the exact time at which the regulation was implemented. This is critical because the ITSA design...
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