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1
Fully modified least squares estimation and inference for systems of cointegrating polynomial regressions
Wagner, Martin
- In:
Economics letters
228
(
2023
),
pp. 1-5
Persistent link: https://www.econbiz.de/10014455149
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2
On the two algorithms for estimating interactive fixed effects models in Bai (2009)
Chen, Qiang
;
Yan, Guanpeng
- In:
Economics letters
233
(
2023
),
pp. 1-4
Persistent link: https://www.econbiz.de/10014505984
Saved in:
3
Bias correction for within-group estimation of panel data models with fixed effects and sample selection
Han, Chirok
;
Lee, Goeun
- In:
Economics letters
220
(
2022
),
pp. 1-4
Persistent link: https://www.econbiz.de/10013473119
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4
Complete subset least squares support vector regression
Qiu, Yue
- In:
Economics letters
200
(
2021
),
pp. 1-5
Persistent link: https://www.econbiz.de/10012606827
Saved in:
5
On the instrument functional form with a binary endogenous explanatory variable
Xu, Ruonan
- In:
Economics letters
206
(
2021
),
pp. 1-4
Persistent link: https://www.econbiz.de/10012886883
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6
Improving forecast accuracy of financial vulnerability : PLS factor model approach
Kim, Hyeongwoo
;
Ko, Kyunghwan
- In:
Economic modelling
88
(
2020
),
pp. 341-355
Persistent link: https://www.econbiz.de/10012417239
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7
Adaptive estimation of AR∞ models with time-varying variances
Zhang, Erhua
;
Wu, Jilin
- In:
Economics letters
197
(
2020
),
pp. 1-5
Persistent link: https://www.econbiz.de/10012511135
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8
Time-invariant regressors under fixed effects : simple identification via a proxy variable
Bělín, Matěj
- In:
Economics letters
186
(
2020
),
pp. 1-4
Persistent link: https://www.econbiz.de/10012500400
Saved in:
9
A convenient omitted variable bias formula for treatment effect models
Clarke, Damian
- In:
Economics letters
174
(
2019
),
pp. 84-88
Persistent link: https://www.econbiz.de/10012121031
Saved in:
10
Feasible generalized least squares using support vector regression
Miller, Steve
;
Startz, Richard
- In:
Economics letters
175
(
2019
),
pp. 28-31
Persistent link: https://www.econbiz.de/10012121118
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