Bryan S. Weber

Publications15
h-index3
Citations31
Highly Influential Citations3
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Can safe ride programs reduce urban crime
Uber and urban crime
Different firm responses to the COVID-19 pandemic shocks: machine-learning evidence on the Vietnamese labor market
PurposeThis paper aims to identify the disproportionate impacts of the COVID-19 pandemic on labor markets.Design/methodology/approachThe authors conduct a large-scale survey on 16,000 firms from 82…
Vision Zero: Speed Limit Reduction and Traffic Injury Prevention in New York City
We examine the effect on the incidence of casualties and crashes of a city-wide vehicle speed limit reduction in New York City (NYC) streets. The law change, part of Mayor Bill de Blasio’s Vision…
Resolving Simultaneity Bias: Using Features to Estimate Causal Effects in Competitive Games
In this paper, we walk through an application of the instrumental variables (IV) and control function approach (CF) estimators to identify the causal effect of in-game features on the probability of…
Standard Economic Models in Nonstandard Settings – StarCraft: Brood War
  • Bryan S. Weber
  • Economics
    IEEE Conference on Computational Intelligence and…
  • 1 August 2018
TLDR
The features of the capital-augmenting Cobb-Douglas model, the game theory behind the reactive strategy, and adaptation to particular opponents in the RTS context are reviewed.
Terrorism risk and optimal policy response: theory and empirics
Purpose The proliferation of terrorism worldwide raises the risk that terrorist strategies could evolve from conventional methods (e.g. suicide attacks) to biological, chemical and even radioactive…
University-provided transit and crime in an urban neighborhood
This paper uniquely examines the influence of a new university bus service on urban crime. It concentrates on the interaction between the new bus service and a long-standing safe ride program. The…
CATASTROPHE AND RATIONAL POLICY: CASE OF NATIONAL SECURITY
Catastrophe and Rational Policy: Case of National Security
Predicting catastrophes sometimes involves heavy-tailed distributions with no mean, eluding proactive policy since expected cost-benefit based analysis fails. We study US government counterterrorism…
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