Emily Breza
Biographic Data
| ID | 2126113 |
|---|---|
| NAME | Emily Breza |
| GIVEN NAMES | Emily |
| FAMILY NAME | Breza |
| SIGNATURE | BREZA E |
| AFFILIATIONS | Department of Economics, Harvard, BREAD, JPAL, and NBER (email: ) |
| ORCID | 0000-0002-4745-4689 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Can a Trusted Messenger Change Behavior When Information Is Plentiful? Evidence from the First Months of the Covid-19 Pandemic in West Bengal
Can information from a credible messenger shift behavior in an information-saturated environment? In a randomized controlled trial involving twenty-eight million individuals in West Bengal, we find that SMS-delivered video messages containing information about COVID-19 symptoms and health-preserving behaviors recorded by a credible messenger increased adherence to targeted and non-targeted preventive behaviors, measured by two objective measures …
Doctors' and Nurses' Social Media Ads Reduced Holiday Travel and Covid-19 Infections: A Cluster Randomized Controlled Trial
We thank the health team at Facebook for their in-kind financial
Naïve Learning with Uninformed Agents
The DeGroot model has emerged as a credible alternative to the standard Bayesian model for studying learning on networks, offering a natural way to model naïve learning in a complex setting. One unattractive aspect of this model is the assumption that the process starts with every node in the network having a signal. We study a natural extension of the DeGroot model that can deal with sparse initial signals. We show that an agent’s social influen…
Naïve Learning with Uninformed Agents
The DeGroot model has emerged as a credible alternative to the standard Bayesian model for studying learning on networks, offering a natural way to model naïve learning in a complex setting. One unattractive aspect of this model is the assumption that the process starts with every node in the network having a signal. We study a natural extension of the DeGroot model that can deal with sparse initial signals. We show that an agent’s social influen…
Doctors' and Nurses' Social Media Ads Reduced Holiday Travel and Covid-19 Infections: A Cluster Randomized Controlled Trial
We thank the health team at Facebook for their in-kind financial
Naïve Learning with Uninformed Agents
The DeGroot model has emerged as a credible alternative to the standard Bayesian model for studying learning on networks, offering a natural way to model naïve learning in a complex setting. One unattractive aspect of this model is the assumption that the process starts with every node in the network having a signal. We study a natural extension of the DeGroot model that can deal with sparse initial signals. We show that an agent’s social influen…
Can a Trusted Messenger Change Behavior When Information Is Plentiful? Evidence from the First Months of the Covid-19 Pandemic in West Bengal
Can information from a credible messenger shift behavior in an information-saturated environment? In a randomized controlled trial involving twenty-eight million individuals in West Bengal, we find that SMS-delivered video messages containing information about COVID-19 symptoms and health-preserving behaviors recorded by a credible messenger increased adherence to targeted and non-targeted preventive behaviors, measured by two objective measures …
2019-20 coronavirus outbreak (2 works) · Computer Science (2 works) · Medicine (2 works) · Outbreak (2 works) · Virology (2 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Bayesian inference (1 works) · Bayesian probability (1 works) · Blockchain Technology Applications and Security (1 works)