معرفی
Louis-Daniel Pape serves as an Assistant Professor at Télécom Paris within the CREST research center, specializing in Economics. His academic profile positions him as a permanent research member focused on empirical analysis at the intersection of digital platforms, labor markets, and competition policy. Affiliated with both Télécom Paris and CREST (Center for Research in Economics and Statistics), he contributes to France's leading economics research ecosystem.
Pape's research centers on industrial organization and labor economics, with particular emphasis on digital economics and competition policy. His methodological approach combines reduced-form and structural modeling techniques applied to administrative datasets, web-scraped information, and firm-provided data. Current investigations examine platform self-preferencing practices, labor market concentration effects, and innovative econometric methodologies for handling zero values in regression analysis. His work demonstrates consistent engagement with real-world policy questions, particularly regarding digital market regulation and antitrust enforcement.
Analysis of Pape's publication trajectory reveals a strong focus on digital economy regulation and labor market dynamics. His recent work on the Digital Markets Act's impact on Google Maps represents cutting-edge research in digital competition policy, employing difference-in-differences methodologies to assess regulatory interventions. Parallel investigations into labor market concentration, non-compete clauses, and wage collusion demonstrate methodological versatility across different market contexts. The recurring theme across his publications is the application of rigorous empirical methods to evaluate policy interventions in concentrated markets.
Pape maintains active teaching responsibilities across multiple institutions. At Télécom Paris, he delivers courses in Applied Econometrics and Data Collection/Visualization for Master's students, while also teaching Big Data at École Polytechnique. His pedagogical approach integrates machine learning methods with traditional econometric techniques, reflecting the evolving nature of empirical economic research. Course materials demonstrate particular emphasis on instrumental variables, difference-in-differences designs, and structural modeling approaches.
Pape's research infrastructure includes collaborations with major institutions including the French Ministry of Public Finances (DGFIP) on VAT fraud analysis for digital platforms. His methodological contributions, particularly the iterated Ordinary Least Squares (iOLS) framework for handling zero values in regression models, have gained recognition in the econometrics community with substantial downloads on SSRN. His software implementations for iOLS/i2SLS and Instrumented Differences-in-Differences (IVDID) methods are publicly available on GitHub, facilitating broader adoption of these techniques.
