Yousef Kaddoura
Biographic Data
| ID | 8921435 |
|---|---|
| NAME | Yousef Kaddoura |
| GIVEN NAMES | Yousef |
| FAMILY NAME | Kaddoura |
| SIGNATURE | KADDOURA Y |
| AFFILIATIONS | Lund University, Lund, Sweden |
| ORCID | 0000-0002-2534-8236 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
On Robustness to Random Breaks in Panel Data
One of the attractions of panel data is the ability to pool information regarding parameters that are common across the cross‐section. In fact, pooling is standard even though there are often reasons to believe that parameters are not common. One reason for this practice is that there is quite some evidence to suggest that estimators of common parameters are robust to random heterogeneity, so much so that this type of robustness is sometimes take…
Estimation of Panel Data Models with Random Interactive Effects and Multiple Structural Breaks when T is Fixed
In this article, we propose a new estimator of panel data models with random interactive effects and multiple structural breaks that is suitable when the number of time periods, T, is fixed and only the number of cross-sectional units, N, is large. This is done by viewing the determination of the breaks as a shrinkage problem, and to estimate both the regression coefficients, and the number of breaks and their locations by applying a version of t…
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Estimation of Panel Data Models with Random Interactive Effects and Multiple Structural Breaks when T is Fixed
In this article, we propose a new estimator of panel data models with random interactive effects and multiple structural breaks that is suitable when the number of time periods, T, is fixed and only the number of cross-sectional units, N, is large. This is done by viewing the determination of the breaks as a shrinkage problem, and to estimate both the regression coefficients, and the number of breaks and their locations by applying a version of t…
On Robustness to Random Breaks in Panel Data
One of the attractions of panel data is the ability to pool information regarding parameters that are common across the cross‐section. In fact, pooling is standard even though there are often reasons to believe that parameters are not common. One reason for this practice is that there is quite some evidence to suggest that estimators of common parameters are robust to random heterogeneity, so much so that this type of robustness is sometimes take…
Estimator (2 works) · Panel data (2 works) · Random effects model (2 works) · Spatial and Panel Data Analysis (2 works) · Advanced Statistical Methods and Models (1 work) · Applied Mathematics (1 work) · Computer Science (1 work) · Econometrics (1 work) · Economic and Environmental Valuation (1 work) · Fixed effects model (1 work)