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ECONIS (ZBW)
338
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1
Robust tests for normality of errors in regression models
Önder, A. Özlem
;
Zaman, Asad
- In:
Economics letters
86
(
2005
)
1
,
pp. 63-68
Persistent link: https://www.econbiz.de/10002516250
Saved in:
2
Covariate measurement and endogeneity
Millimet, Daniel L.
- In:
Economics letters
136
(
2015
),
pp. 59-63
Persistent link: https://www.econbiz.de/10011435826
Saved in:
3
The coefficient of the whole is an average of the coefficients of its parts : a special case of restricted least squares
Kee, Hiau Looi
- In:
Economics letters
104
(
2009
)
3
,
pp. 136-139
Persistent link: https://www.econbiz.de/10003870110
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4
Almost unbiased variance estimation in linear regressions with many covariates
Anatolyev, Stanislav
- In:
Economics letters
169
(
2018
),
pp. 20-23
Persistent link: https://www.econbiz.de/10012019507
Saved in:
5
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
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6
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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7
Complete subset least squares support vector regression
Qiu, Yue
- In:
Economics letters
200
(
2021
),
pp. 1-5
Persistent link: https://www.econbiz.de/10012606827
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8
Sheep in wolf's clothing : using the least squares criterion for quantile estimation
Chen, Heng
- In:
Economics letters
125
(
2014
)
3
,
pp. 426-431
Persistent link: https://www.econbiz.de/10010506524
Saved in:
9
Structural change estimation in time series regressions with endogenous variables
Qian, Junhui
;
Su, Liangjun
- In:
Economics letters
125
(
2014
)
3
,
pp. 415-421
Persistent link: https://www.econbiz.de/10010506531
Saved in:
10
Choices between OLS with robust inference and feasible GLS in time series regressions
Baillie, Richard
;
Kim, Kun Ho
- In:
Economics letters
171
(
2018
),
pp. 218-221
Persistent link: https://www.econbiz.de/10012021807
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