Inference Theory for Quasi-experimental Methods when Data are Non-stationary with Unknown Structure: Does the Lifting of Shelter-in-Place Keep Covid-19 Manageable?

Abstract excerpt

Increasingly, marketers and policy makers are interested in estimating the average treatment effect on the treated (ATT) in settings where a randomized experiment is infeasible. Furthermore, in marketing and policy contexts, the data are often non-stationary and the precise structure of nonstationarity is unknown. The causal effect of general data protection regulation (GDPR) on consumer search and purchases and t...

Topics

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• Anti-HIV Agents
• Genotype
• Models, Statistical
• Practice Patterns, Physicians'
• Random Allocation
• Research Design
• Time Factors
• Travel

Identifiers and source

Literature Corpus work

e1e8b5d1-eafb-51d4-aafb-360c534a0b66

DOI

10.2139/ssrn.4321847