Talents from Abroad. Foreign Managers and Productivity in the United Kingdom
Dimitrios Exadaktylos; Massimo Riccaboni; Armando Rungi · 2020 · arXiv
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
The finding, in one line
“We find that domestic manufacturing firms become, on average, between 7% and 12% more productive after hiring the first foreign managers, whereas foreign-owned firms register no significant improvement.”
Abstract (excerpt)
In this paper, we test the contribution of foreign management on firms' competitiveness. We use a novel dataset on the careers of 165,084 managers employed by 13,106 companies in the United Kingdom in the period 2009-2017. We find that domestic manufacturing firms become, on average, between 7% and 12% more productive after hiring the first foreign managers, whereas foreign-owned firms register no significant improvement. In particular, we test that previous industry-specific experience is the primary driver of productivity gains in domestic firms (15.6%), in a way that allows the latter to ca
Excerpt shown for reference under fair use — read the full paper at the publisher.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
The Oregon Experiment — Effects of Medicaid on Clinical Outcomes
Negative / Null Result ReportMicrocredit in Theory and Practice: Using Randomized Credit Scoring for Impact Evaluation
Negative / Null Result ReportThe Cost of Carbon: Capital Market Effects of the Proposed Emission Trading Scheme (ETS)
Negative / Null Result ReportPushing on a string: US monetary policy is less powerful in recessions ∗
Negative / Null Result ReportThe Evidence on Globalisation
Negative / Null Result ReportStatistical tests for power-law cross-correlated processes
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: arXiv
