Paul Niehaus
Dados Biográficos
| ID | 1471234 |
|---|---|
| NOME | Paul Niehaus |
| PRENOMES | Paul |
| SOBRENOME | Niehaus |
| ASSINATURA | NIEHAUS P |
| AFILIAÇÕES | Paul Niehaus, Associate Professor of Economics, University of California at San Diego, La Jolla, California. Research Associate, National Bureau of Economic Research, Cambridge, Massachusetts. Affiliated Professor with the Abdul Latif Jameel Poverty Action Lab, Cambridge, Massachusetts. |
| ORCID | 0000-0001-5119-8270 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 9 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2011 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 2 |
Identity Verification Standards in Welfare Programs
We study the impact of reforms that introduced more stringent, biometric ID requirements into India’s largest social protection program, using large-scale randomized and natural experiments. Corruption fell but with substantial costs to legitimate beneficiaries, 1.5–2 million of whom lost access to benefits at some point during the reforms. At the same time, adverse effects appear to have been driven primarily by decisions about the way the trans…
Experimentation at Scale
This paper makes the case for greater use of randomized experiments "at scale." We review various critiques of experimental program evaluation in developing countries, and discuss how experimenting at scale along three specific dimensions-the size of the sampling frame, the number of units treated, and the size of the unit of randomization- can help alleviate the concerns raised. We find that program-evaluation randomized controlled trials publis…
Building State Capacity
Antipoverty programs in developing countries are often difficult to implement; in particular, many governments lack the capacity to deliver payments securely to targeted beneficiaries. We evaluate the impact of biometrically authenticated payments infrastructure (“Smartcards”) on beneficiaries of employment (NREGS) and pen sion (SSP) programs in the Indian state of Andhra Pradesh, using a large-scale experiment that randomized the rollout of Smar…
Filtered Social Learning
Knowledge sharing is economically important but also typically incomplete: we "filter" our communication. This paper analyzes the consequences of filtering. In the model, homogeneous agents share knowledge with their peers whenever the private benefits exceed communication costs. The welfare implications of this transmission mechanism hinge on whether units of knowledge complement, substitute for, or are independent of each other. Both substituta…
Experimentation at Scale
This paper makes the case for greater use of randomized experiments "at scale." We review various critiques of experimental program evaluation in developing countries, and discuss how experimenting at scale along three specific dimensions-the size of the sampling frame, the number of units treated, and the size of the unit of randomization- can help alleviate the concerns raised. We find that program-evaluation randomized controlled trials publis…
Filtered Social Learning
Knowledge sharing is economically important but also typically incomplete: we "filter" our communication. This paper analyzes the consequences of filtering. In the model, homogeneous agents share knowledge with their peers whenever the private benefits exceed communication costs. The welfare implications of this transmission mechanism hinge on whether units of knowledge complement, substitute for, or are independent of each other. Both substituta…
Filtered Social Learning
Knowledge sharing is economically important but also typically incomplete: we "filter" our communication. This paper analyzes the consequences of filtering. In the model, homogeneous agents share knowledge with their peers whenever the private benefits exceed communication costs. The welfare implications of this transmission mechanism hinge on whether units of knowledge complement, substitute for, or are independent of each other. Both substituta…
Building State Capacity
Antipoverty programs in developing countries are often difficult to implement; in particular, many governments lack the capacity to deliver payments securely to targeted beneficiaries. We evaluate the impact of biometrically authenticated payments infrastructure (“Smartcards”) on beneficiaries of employment (NREGS) and pen sion (SSP) programs in the Indian state of Andhra Pradesh, using a large-scale experiment that randomized the rollout of Smar…
Experimentation at Scale
This paper makes the case for greater use of randomized experiments "at scale." We review various critiques of experimental program evaluation in developing countries, and discuss how experimenting at scale along three specific dimensions-the size of the sampling frame, the number of units treated, and the size of the unit of randomization- can help alleviate the concerns raised. We find that program-evaluation randomized controlled trials publis…
Identity Verification Standards in Welfare Programs
We study the impact of reforms that introduced more stringent, biometric ID requirements into India’s largest social protection program, using large-scale randomized and natural experiments. Corruption fell but with substantial costs to legitimate beneficiaries, 1.5–2 million of whom lost access to benefits at some point during the reforms. At the same time, adverse effects appear to have been driven primarily by decisions about the way the trans…
Computer Science (3 obras) · Economics (3 obras) · Welfare (3 obras) · Business (2 obras) · Computer security (2 obras) · Geography (2 obras) · Healthcare Systems and Reforms (2 obras) · Public economics (2 obras) · Advanced Causal Inference Techniques (1 obras) · Biometrics (1 obras)