Diana Stanescu
Biographic Data
| ID | 4124168 |
|---|---|
| NAME | Diana Stanescu |
| GIVEN NAMES | Diana |
| FAMILY NAME | Stanescu |
| SIGNATURE | STANESCU D |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Do International Bureaucrats Matter? Evidence from the International Monetary Fund
Field Research When There Is Limited Access to the Field
How can scholars conduct field research when there is limited access to the field? This article first identifies how limited and uncertain field access can affect field research and then provides recommendations to address these challenges. We focus on conducting field research in Japan because of our substantive expertise, but we believe that the problems and solutions outlined in this article are applicable to a broad range of countries. Our ho…
Using Lasso to Assist Imputation and Predict Child Well-being
This article documents an approach to predicting children's well-being using data from the Fragile Families and Child Wellbeing Study, which are representative of births in large U.S. cities. The authors use the least absolute shrinkage and selection operator (LASSO) to preprocess the data. They then apply the Amelia algorithm to impute missing data. Finally, they use LASSO again for prediction with the imputed data. The authors report the perfor…
Field Research When There Is Limited Access to the Field
How can scholars conduct field research when there is limited access to the field? This article first identifies how limited and uncertain field access can affect field research and then provides recommendations to address these challenges. We focus on conducting field research in Japan because of our substantive expertise, but we believe that the problems and solutions outlined in this article are applicable to a broad range of countries. Our ho…
Using Lasso to Assist Imputation and Predict Child Well-being
This article documents an approach to predicting children's well-being using data from the Fragile Families and Child Wellbeing Study, which are representative of births in large U.S. cities. The authors use the least absolute shrinkage and selection operator (LASSO) to preprocess the data. They then apply the Amelia algorithm to impute missing data. Finally, they use LASSO again for prediction with the imputed data. The authors report the perfor…
Using Lasso to Assist Imputation and Predict Child Well-being
This article documents an approach to predicting children's well-being using data from the Fragile Families and Child Wellbeing Study, which are representative of births in large U.S. cities. The authors use the least absolute shrinkage and selection operator (LASSO) to preprocess the data. They then apply the Amelia algorithm to impute missing data. Finally, they use LASSO again for prediction with the imputed data. The authors report the perfor…
Field Research When There Is Limited Access to the Field
How can scholars conduct field research when there is limited access to the field? This article first identifies how limited and uncertain field access can affect field research and then provides recommendations to address these challenges. We focus on conducting field research in Japan because of our substantive expertise, but we believe that the problems and solutions outlined in this article are applicable to a broad range of countries. Our ho…
Do International Bureaucrats Matter? Evidence from the International Monetary Fund
Business (1 work) · Computer Science (1 work) · Corruption and Economic Development (1 work) · Disaster Management and Resilience (1 work) · Econometrics (1 work) · Economics (1 work) · Elastic net regularization (1 work) · Engineering (1 work) · Engineering ethics (1 work) · Feature selection (1 work)