Abstract We show theoretically and empirically that the managerial organization of multiestablishment firms is interdependent across establishments. To derive our result, we study effect geographic frictions on firm organization. In model, assume a CEO’s time resource in limited supply, shared headquarters Geographic increase costs accessing CEO. Hiring middle managers at one establishment subs...

Following the success of the Victorian Activity & Travel Survey (VATS) of household travel, the Transport Research Centre (TRC) initiated a Freight Activity & Commercial Travel Survey (FACTS) to provide a much needed database of freight-related information for the Melbourne metropolitan area. The objective is to provide detailed, accurate and current data on freight travel and commercial activi...

A large literature in medicine documents variation across areas in the use of surgical treatments that is unrelated to outcomes. Observers of this phenomena have invoked "flat of the curve medicine" to explain these facts, and have advocated for reductions in spending in high-use areas. In contrast, we develop a simple Roy model of patient treatment choice with productivity spillovers that can ...

This paper empirically explores the incidence of labor inspections across firms in 72 developing countries. Given the relatively little knowledge on the behavior of labor inspection agencies, our objective is to present a collection of stylized facts on the incidence of enforcement. Our findings consistently show that larger firms are more likely to be inspected than smaller firms. Interestingl...

We use the new dataset of trade flows across 269 European regions in 24 countries constructed Santamaría et al. (2020) to systematically explore for first time patterns within and country borders. focus on differences between home trade, foreign trade. document following facts: (i) regional has a strong bias, (ii) geographic distance national borders are important determinants but cannot explai...

This paper describes our experiments of using Amazon’s Mechanical Turk to generate (counter-)facts from texts for certain namedentities. We give the human annotators a paragraph of text and a highlighted named-entity. They will write down several (counter-)facts about this named-entity in that context. The analysis of the results is performed by comparing the acquired data with the recognizing ...