| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A spatial panel quantile model with unobserved heterogeneity
|
Ando, Tomohiro
|
|
|
232 |
1 |
p. 191-213
|
artikel
|
| 2 |
Editorial Board
|
|
|
|
232 |
1 |
p. ii
|
artikel
|
| 3 |
Efficient closed-form estimation of large spatial autoregressions
|
Gupta, Abhimanyu
|
|
|
232 |
1 |
p. 148-167
|
artikel
|
| 4 |
Estimation of spatial sample selection models: A partial maximum likelihood approach
|
Rabovič, Renata
|
|
|
232 |
1 |
p. 214-243
|
artikel
|
| 5 |
Higher-order least squares inference for spatial autoregressions
|
Rossi, Francesca
|
|
|
232 |
1 |
p. 244-269
|
artikel
|
| 6 |
How to go viral: A COVID-19 model with endogenously time-varying parameters
|
Ho, Paul
|
|
|
232 |
1 |
p. 70-86
|
artikel
|
| 7 |
Nonparametric comparison of epidemic time trends: The case of COVID-19
|
Khismatullina, Marina
|
|
|
232 |
1 |
p. 87-108
|
artikel
|
| 8 |
Nowcasting in a pandemic using non-parametric mixed frequency VARs
|
Huber, Florian
|
|
|
232 |
1 |
p. 52-69
|
artikel
|
| 9 |
Nowcasting the output gap
|
Berger, Tino
|
|
|
232 |
1 |
p. 18-34
|
artikel
|
| 10 |
Sparse spatio-temporal autoregressions by profiling and bagging
|
Ma, Yingying
|
|
|
232 |
1 |
p. 132-147
|
artikel
|
| 11 |
Spatial econometrics for misaligned data
|
Pouliot, Guillaume Allaire
|
|
|
232 |
1 |
p. 168-190
|
artikel
|
| 12 |
Time series analysis of COVID-19 infection curve: A change-point perspective
|
Jiang, Feiyu
|
|
|
232 |
1 |
p. 1-17
|
artikel
|
| 13 |
Time varying Markov process with partially observed aggregate data: An application to coronavirus
|
Gourieroux, C.
|
|
|
232 |
1 |
p. 35-51
|
artikel
|
| 14 |
Who should get vaccinated? Individualized allocation of vaccines over SIR network
|
Kitagawa, Toru
|
|
|
232 |
1 |
p. 109-131
|
artikel
|
Tijdschrift beschrijving