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I am a PhD candidate in economics at the University of Warwick and recipient of the ESRC Doctoral Training Partnership.
My research focuses on industrial organisation and its intersections with econometrics and microeconomic theory.
In my work I focus on developing policy-relevant applications grounded in solid theoretical foundations and to create practical methods that serve both practitioners and researchers.
Email: nicole.scholz@warwick.ac.uk
Job Market Paper
Job Market Paper
Estimating Multi-Product Production Functions: What Can We Learn Without Demand Assumptions?
Abstract: Production functions estimation is widely used to recover markups and total factor productivity, but standard methods cannot be applied to output data as inputs are only observed at the plant level. To recover production functions it is standard to make assumptions on the demand side to back out marginal costs; however, this can lead to large biases when assumptions fail. In this paper, I prove that it is necessary to impose extra assumptions to deal with the unobserved input allocations. I also show that production function parameters are identified without assumptions on demand as long as the productivity distribution is stationary. Using simulations, I show how the moment inequalities perform relative to standard estimators.
Professional Experience
Professional Experience
I have spent a year working in the Competition and Markets Authority's Microeconomics Research Unit. During this time I have worked on the report on "Competition and Market Power in UK Labour Markets" (2024) and the "State of Competition Report" (2024) using the Annual Business Survey and Lightcast's UK vacancy dataset.
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