Alexandre Belloni
Biographic Data
| ID | 3960607 |
|---|---|
| NAME | Alexandre Belloni |
| GIVEN NAMES | Alexandre |
| FAMILY NAME | Belloni |
| SIGNATURE | BELLONI A |
| AFFILIATIONS | Duke University |
| ORCID | 0000-0001-9368-8833 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 23 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Desenvolvimento De Um Sistema De Gestão Integrada Entre Dados De Um Erp E Dashboards Utilizando Power Bi
Este trabalho apresenta o desenvolvimento de um sistema de gestão integrada, conectando um ERP a dashboards interativos utilizando o Power BI e o Firebase. A importância da integração de ferramentas de Business Intelligence (BI) para a visualização de dados empresariais tem sido crucial para a tomada de decisões estratégicas em tempo real, especialmente em ambientes corporativos. Neste projeto, os dados foram obtidos diretamente da plataforma dat…
Inference in High-Dimensional Panel Models With an Application to Gun Control
We consider estimation and inference in panel data models with additive unobserved individual specific heterogeneity in a high-dimensional setting. The setting allows the number of time-varying regressors to be larger than the sample size. To make informative estimation and inference feasible, we require that the overall contribution of the time-varying variables after eliminating the individual specific heterogeneity can be captured by a relativ…
Post-Selection Inference for Generalized Linear Models With Many Controls
This article considers generalized linear models in the presence of many controls. We lay out a general methodology to estimate an effect of interest based on the construction of an instrument that immunizes against model selection mistakes and apply it to the case of logistic binary choice model. More specifically we propose new methods for estimating and constructing confidence regions for a regression parameter of primary interest α0, a parame…
Inference on Treatment Effects after Selection among High-Dimensional Controls
We propose robust methods for inference about the effect of a treatment variable on a scalar outcome in the presence of very many regressors in a model with possibly non-Gaussian and heteroscedastic disturbances. We allow for the number of regressors to be larger than the sample size. To make informative inference feasible, we require the model to be approximately sparse; that is, we require that the effect of confounding factors can be controlle…
High-Dimensional Methods and Inference on Structural and Treatment Effects
Data with a large number of variables relative to the sample size-"high-dimensional data"-are readily available and increasingly common in empirical economics. Highdimensional data arise through a combination of two phenomena. First, the data may be inherently high dimensional in that many different characteristics per observation are available. For example, the US Census collects information on hundreds of individual characteristics and scanner …
High-Dimensional Methods and Inference on Structural and Treatment Effects
Data with a large number of variables relative to the sample size-"high-dimensional data"-are readily available and increasingly common in empirical economics. Highdimensional data arise through a combination of two phenomena. First, the data may be inherently high dimensional in that many different characteristics per observation are available. For example, the US Census collects information on hundreds of individual characteristics and scanner …
Inference on Treatment Effects after Selection among High-Dimensional Controls
We propose robust methods for inference about the effect of a treatment variable on a scalar outcome in the presence of very many regressors in a model with possibly non-Gaussian and heteroscedastic disturbances. We allow for the number of regressors to be larger than the sample size. To make informative inference feasible, we require the model to be approximately sparse; that is, we require that the effect of confounding factors can be controlle…
High-Dimensional Methods and Inference on Structural and Treatment Effects
Data with a large number of variables relative to the sample size-"high-dimensional data"-are readily available and increasingly common in empirical economics. Highdimensional data arise through a combination of two phenomena. First, the data may be inherently high dimensional in that many different characteristics per observation are available. For example, the US Census collects information on hundreds of individual characteristics and scanner …
Inference in High-Dimensional Panel Models With an Application to Gun Control
We consider estimation and inference in panel data models with additive unobserved individual specific heterogeneity in a high-dimensional setting. The setting allows the number of time-varying regressors to be larger than the sample size. To make informative estimation and inference feasible, we require that the overall contribution of the time-varying variables after eliminating the individual specific heterogeneity can be captured by a relativ…
Post-Selection Inference for Generalized Linear Models With Many Controls
This article considers generalized linear models in the presence of many controls. We lay out a general methodology to estimate an effect of interest based on the construction of an instrument that immunizes against model selection mistakes and apply it to the case of logistic binary choice model. More specifically we propose new methods for estimating and constructing confidence regions for a regression parameter of primary interest α0, a parame…
Desenvolvimento De Um Sistema De Gestão Integrada Entre Dados De Um Erp E Dashboards Utilizando Power Bi
Este trabalho apresenta o desenvolvimento de um sistema de gestão integrada, conectando um ERP a dashboards interativos utilizando o Power BI e o Firebase. A importância da integração de ferramentas de Business Intelligence (BI) para a visualização de dados empresariais tem sido crucial para a tomada de decisões estratégicas em tempo real, especialmente em ambientes corporativos. Neste projeto, os dados foram obtidos diretamente da plataforma dat…
Computer Science (5 works) · Econometrics (4 works) · Inference (4 works) · Statistical Methods and Inference (4 works) · Artificial Intelligence (3 works) · Economics (3 works) · Mathematics (3 works) · Statistical Methods and Bayesian Inference (3 works) · Advanced Causal Inference Techniques (2 works) · Mathematical economics (2 works)