Aristide Houndetoungan
Biographic Data
| ID | 8880270 |
|---|---|
| NAME | Aristide Houndetoungan |
| GIVEN NAMES | Aristide |
| FAMILY NAME | Houndetoungan |
| SIGNATURE | HOUNDETOUNGAN A |
| AFFILIATIONS | Université Laval |
| ORCID | 0009-0003-2733-9362 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 4 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Count Data Models With Heterogeneous Peer Effects Under Rational Expectations
This paper develops a peer effect model for count responses under rational expectations. The model accounts for heterogeneity in peer effects across groups based on observed characteristics. Identification is based on the linear model condition that requires the presence of friends of friends who are not direct friends. I show that this identification condition extends to a broad class of nonlinear models. Parameters are estimated using a nested …
Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students
Peer influence on effort devoted to some activity is often studied when effort is unobserved, and the researcher instead observes an outcome that combines effort with other shocks. For instance, in education, achievement measures such as GPA reflect both effort and idiosyncratic GPA shocks. We propose an alternative approach that circumvents this approximation. Our framework distinguishes unobserved shocks to GPA that do not affect effort from pr…
Binary Outcomes and Linear Interactions
Estimating Peer Effects Using Partial Network Data
We study the estimation of peer effects through social networks when researchers do not observe the entire network structure. Special cases include sampled networks, censored networks, and misclassified links. We assume that researchers can obtain a consistent estimator of the distribution of the network. We show that this assumption is sufficient for estimating peer effects using a linear-in-means model. We provide an empirical application to th…
Peer-induced beliefs regarding college participation
The Clash of Historical Analogies and Their Influence on Decision-Making
Contrary to the conventional wisdom in the literature on United States foreign policy, there was no consensus within the George W. Bush Administration on the parallel between the reconstruction of Iraq and that of post-Second World War Germany and Japan. Systematic analysis of available sources shows that the decision-makers drew a large number of different historical analogies—73 in all. This analysis takes a fresh look at the use of analogies r…
Some Challenges in the Empirics of the Effects of Networks
The Clash of Historical Analogies and Their Influence on Decision-Making
Contrary to the conventional wisdom in the literature on United States foreign policy, there was no consensus within the George W. Bush Administration on the parallel between the reconstruction of Iraq and that of post-Second World War Germany and Japan. Systematic analysis of available sources shows that the decision-makers drew a large number of different historical analogies—73 in all. This analysis takes a fresh look at the use of analogies r…
Some Challenges in the Empirics of the Effects of Networks
The Clash of Historical Analogies and Their Influence on Decision-Making
Contrary to the conventional wisdom in the literature on United States foreign policy, there was no consensus within the George W. Bush Administration on the parallel between the reconstruction of Iraq and that of post-Second World War Germany and Japan. Systematic analysis of available sources shows that the decision-makers drew a large number of different historical analogies—73 in all. This analysis takes a fresh look at the use of analogies r…
Peer-induced beliefs regarding college participation
Estimating Peer Effects Using Partial Network Data
We study the estimation of peer effects through social networks when researchers do not observe the entire network structure. Special cases include sampled networks, censored networks, and misclassified links. We assume that researchers can obtain a consistent estimator of the distribution of the network. We show that this assumption is sufficient for estimating peer effects using a linear-in-means model. We provide an empirical application to th…
Count Data Models With Heterogeneous Peer Effects Under Rational Expectations
This paper develops a peer effect model for count responses under rational expectations. The model accounts for heterogeneity in peer effects across groups based on observed characteristics. Identification is based on the linear model condition that requires the presence of friends of friends who are not direct friends. I show that this identification condition extends to a broad class of nonlinear models. Parameters are estimated using a nested …
Identifying Peer Effects in Networks with Unobserved Effort and Isolated Students
Peer influence on effort devoted to some activity is often studied when effort is unobserved, and the researcher instead observes an outcome that combines effort with other shocks. For instance, in education, achievement measures such as GPA reflect both effort and idiosyncratic GPA shocks. We propose an alternative approach that circumvents this approximation. Our framework distinguishes unobserved shocks to GPA that do not affect effort from pr…
Binary Outcomes and Linear Interactions
School Choice and Performance (5 works) · Computer Science (4 works) · Economics (3 works) · Peer effects (3 works) · Psychology (3 works) · Econometrics (2 works) · Linear model (2 works) · Social Psychology (2 works) · Administration (probate law (1 work) · Advanced Causal Inference Techniques (1 work)