Bridget Hoffmann
Biographic Data
| ID | 6447857 |
|---|---|
| NAME | Bridget Hoffmann |
| GIVEN NAMES | Bridget |
| FAMILY NAME | Hoffmann |
| SIGNATURE | HOFFMANN B |
| AFFILIATIONS | Inter-American Development Bank |
| ORCID | 0000-0002-5803-4225 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Shooting a moving target: Evaluating targeting tools for social programs when income fluctuates
A key challenge for policymakers in low- and middle-income countries is to design a method to select beneficiaries of social programs when income is unobservable and volatile. We use a unique panel dataset of a random sample of households in Colombia’s social registry that contains information before, during, and after the 2020 economic crisis to evaluate a traditional static proxy-means test (PMT) and three policy-relevant alternatives. We consi…
How can we improve air pollution? Try increasing trust first
Environmental policies are characterized by salient short-term costs and long-term benefits that are difficult to observe and to attribute to the government's efforts. These characteristics imply that citizens’ support for environmental policies is highly dependent on their trust in the government's capability to implement solutions and commitment to investments in those policies. Using novel survey data from Mexico City, we show that trust in th…
Stepping up during a crisis: The unintended effects of a noncontributory pension program during the Covid-19 pandemic
We use a regression discontinuity design to study the impacts of a noncontributory pension program covering one-third of Bolivian households during the COVID-19 pandemic. Becoming eligible for the program during the crisis increased the probability that households had a week's worth of food stocked by 25% and decreased the probability of going hungry by 40%. Although the program was not designed to provide emergency assistance, it provided uninte…
Do non-monetary prices target the poor? Evidence from a field experiment in India
This paper uses willingness to pay data from a field experiment in India to study targeting health products to the poor, using monetary prices and non-monetary prices (time costs). I model demand for the product at monetary and non-monetary prices. The model illustrates that monetary prices screen out the poor and that whether non-monetary prices screen out the non-poor is theoretically ambiguous because of opposing income and substitution effect…
Stepping up during a crisis: The unintended effects of a noncontributory pension program during the Covid-19 pandemic
We use a regression discontinuity design to study the impacts of a noncontributory pension program covering one-third of Bolivian households during the COVID-19 pandemic. Becoming eligible for the program during the crisis increased the probability that households had a week's worth of food stocked by 25% and decreased the probability of going hungry by 40%. Although the program was not designed to provide emergency assistance, it provided uninte…
Do non-monetary prices target the poor? Evidence from a field experiment in India
This paper uses willingness to pay data from a field experiment in India to study targeting health products to the poor, using monetary prices and non-monetary prices (time costs). I model demand for the product at monetary and non-monetary prices. The model illustrates that monetary prices screen out the poor and that whether non-monetary prices screen out the non-poor is theoretically ambiguous because of opposing income and substitution effect…
Do non-monetary prices target the poor? Evidence from a field experiment in India
This paper uses willingness to pay data from a field experiment in India to study targeting health products to the poor, using monetary prices and non-monetary prices (time costs). I model demand for the product at monetary and non-monetary prices. The model illustrates that monetary prices screen out the poor and that whether non-monetary prices screen out the non-poor is theoretically ambiguous because of opposing income and substitution effect…
Stepping up during a crisis: The unintended effects of a noncontributory pension program during the Covid-19 pandemic
We use a regression discontinuity design to study the impacts of a noncontributory pension program covering one-third of Bolivian households during the COVID-19 pandemic. Becoming eligible for the program during the crisis increased the probability that households had a week's worth of food stocked by 25% and decreased the probability of going hungry by 40%. Although the program was not designed to provide emergency assistance, it provided uninte…
How can we improve air pollution? Try increasing trust first
Environmental policies are characterized by salient short-term costs and long-term benefits that are difficult to observe and to attribute to the government's efforts. These characteristics imply that citizens’ support for environmental policies is highly dependent on their trust in the government's capability to implement solutions and commitment to investments in those policies. Using novel survey data from Mexico City, we show that trust in th…
Shooting a moving target: Evaluating targeting tools for social programs when income fluctuates
A key challenge for policymakers in low- and middle-income countries is to design a method to select beneficiaries of social programs when income is unobservable and volatile. We use a unique panel dataset of a random sample of households in Colombia’s social registry that contains information before, during, and after the 2020 economic crisis to evaluate a traditional static proxy-means test (PMT) and three policy-relevant alternatives. We consi…
Economics (4 works) · Business (2 works) · Economic and Environmental Valuation (2 works) · Finance (2 works) · Income, Poverty, and Inequality (2 works) · Political science (2 works) · Poverty, Education, and Child Welfare (2 works) · Agricultural risk and resilience (1 works) · Air quality index (1 works) · Cash transfers (1 works)