Andrea A Naghi
Biographic Data
| ID | 9678766 |
|---|---|
| NAME | Andrea A Naghi |
| GIVEN NAMES | Andrea A |
| FAMILY NAME | Naghi |
| SIGNATURE | NAGHI A A |
| AFFILIATIONS | Department of Business Analytics and Applied Economics Queen Mary University of London London UK |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The benefits of forecasting inflation with machine learning
Medeiros et al. (2021) (Journal of Business & Economic Statistics, 39:1, 98–119) find that random forest (RF) outperforms US inflation forecasting benchmarks. We replicate the main results in Medeiros et al. (2021) and (1) considerably expand the set of machine learning methods, (2) analyse the predictive ability of both the initial and extended sets of methods on Canadian and UK data, (3) add results on coverage rates and widths of prediction in…
The effect of plough agriculture on gender roles
This paper undertakes a replication in a wide sense of a recent study that examines the relationship between historical plough agriculture and current gender roles. We revisit the main research question with recently developed causal machine learning methods, which allow researchers to model the relationship of covariates with the treatment and the outcomes in a more flexible way, while also including interactions and nonlinearities that were not…
No prominent works on this page.
The benefits of forecasting inflation with machine learning
Medeiros et al. (2021) (Journal of Business & Economic Statistics, 39:1, 98–119) find that random forest (RF) outperforms US inflation forecasting benchmarks. We replicate the main results in Medeiros et al. (2021) and (1) considerably expand the set of machine learning methods, (2) analyse the predictive ability of both the initial and extended sets of methods on Canadian and UK data, (3) add results on coverage rates and widths of prediction in…
The effect of plough agriculture on gender roles
This paper undertakes a replication in a wide sense of a recent study that examines the relationship between historical plough agriculture and current gender roles. We revisit the main research question with recently developed causal machine learning methods, which allow researchers to model the relationship of covariates with the treatment and the outcomes in a more flexible way, while also including interactions and nonlinearities that were not…
Computer Science (2 works) · Machine learning (2 works) · Agricultural engineering (1 work) · Agricultural Innovations and Practices (1 work) · Agricultural risk and resilience (1 work) · Agriculture (1 work) · Agronomy (1 work) · Animal Disease Management and Epidemiology (1 work) · Artificial Intelligence (1 work) · Biology (1 work)