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Omar A. Guerrero
Omar A. Guerrero
The Alan Turing Institute
Verified email at turing.ac.uk - Homepage
Title
Cited by
Cited by
Year
Employment growth through labor flow networks
OA Guerrero, RL Axtell
PloS one 8 (5), e60808, 2013
652013
Using agentization for exploring firm and labor dynamics
OA Guerrero, RL Axtell
Emergent results of artificial economics, 139-150, 2011
322011
How do governments determine policy priorities? Studying development strategies through spillover networks
G Castañeda, F Chávez-Juárez, OA Guerrero
Journal of Economic Behavior & Organization 154, 335-361, 2018
282018
Estimating networks of sustainable development goals
L Ospina-Forero, G Castañeda, OA Guerrero
Information & Management, 103342, 2020
272020
Frictional unemployment on labor flow networks
RL Axtell, OA Guerrero, E López
Journal of Economic Behavior & Organization 160, 184-201, 2019
182019
Understanding Unemployment in the Era of Big Data: Policy Informed by Data‐Driven Theory
OA Guerrero, E Lopez
Policy & Internet 9 (1), 28-54, 2017
142017
The resilience of public policies in economic development
G Castañeda, OA Guerrero
Complexity 2018, 2018
132018
Quantifying the coherence of development policy priorities
OA Guerrero, G Castañeda
Development Policy Review 39 (2), 155-180, 2021
122021
The importance of social and government learning in ex ante policy evaluation
G Castaneda, OA Guerrero
Journal of policy modeling 41 (2), 273-293, 2019
112019
Firm-to-firm labor flows and the aggregate matching function: a network-based test using employer–employee matched records
OA Guerrero, E López
Economics Letters 136, 9-12, 2015
112015
Firm-to-firm labor flows and the aggregate matching function: a network-based test using employer–employee matched records
OA Guerrero, E López
Economics Letters 136, 9-12, 2015
112015
The network picture of labor flow
E Lopez, O Guerrero, RL Axtell
arXiv preprint arXiv:1507.00248, 2015
92015
Policy priority inference: A computational framework to analyze the allocation of resources for the sustainable development goals
OA Guerrero, G Castañeda
Data & Policy 2, 2020
62020
Dynamics of Firms from the Bottom Up: Data, Theories and Models
R Axtell, O Guerrero
MIT Press, 2019
62019
Does expenditure in public governance guarantee less corruption? Non-linearities and complementarities of the rule of law
OA Guerrero, G Castañeda
Economics of Governance 22 (2), 139-164, 2021
52021
Does better governance guarantee less corruption? Evidence of loss in effectiveness of the rule of law
OA Guerrero, G Castaneda
arXiv preprint arXiv:1902.00428, 2019
52019
Evaluating policy priorities under social learning and endogenous government behavior
G Castaneda, O Guerrero
Working Paper of the Alan Turing Institute, 2018
52018
The network composition of aggregate unemployment
R Axtell, OA Guerrero, E López
Saïd Business School WP 2, 2016
52016
Revealing the anatomy of vote trading
OA Guerrero, U Matter
arXiv preprint arXiv:1611.01381, 2016
42016
How does government expenditure impact sustainable development? Studying the multidimensional link between budgets and development gaps
OA Guerrero, G Castañeda
Sustainability Science 17 (3), 987-1007, 2022
32022
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