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~isPartOf:"Applied economics letters"
~subject:"Data quality"
~subject:"Forecasting model"
~subject:"measurement error"
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Applied economics letters
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Is Google Trends a quality data source?
Cebrián, Eduardo
;
Domenech, Josep
- In:
Applied economics letters
30
(
2023
)
6
,
pp. 811-815
Persistent link: https://www.econbiz.de/10013554014
Saved in:
2
Experienced survey participants, biased responses? : the example of cognitive reflection
Grüner, Sven
;
Hirschauer, Norbert
- In:
Applied economics letters
30
(
2023
)
19
,
pp. 2797-2802
Persistent link: https://www.econbiz.de/10014369473
Saved in:
3
Expenditure elasticity and consumption inequality in rural China
Fang, Conglong
;
Shi, Qinghua
- In:
Applied economics letters
30
(
2023
)
20
,
pp. 2902-2906
Persistent link: https://www.econbiz.de/10014414034
Saved in:
4
Firms' subjective uncertainty and forecast errors : survey evidence from Japan
Morikawa, Masayuki
- In:
Applied economics letters
30
(
2023
)
1
,
pp. 33-36
Persistent link: https://www.econbiz.de/10013552960
Saved in:
5
There and back again - estimating equivalence scales with measurement error
Borah, Melanie
;
Knabe, Andreas
- In:
Applied economics letters
25
(
2018
)
19
,
pp. 1389-1392
Persistent link: https://www.econbiz.de/10012137368
Saved in:
6
An estimate of the error in self-reported college major
Kuehn, Daniel
- In:
Applied economics letters
23
(
2016
)
10/12
,
pp. 757-760
Persistent link: https://www.econbiz.de/10011628520
Saved in:
7
Forecasting economic time series with measurement error
Fukuda, Kosei
- In:
Applied economics letters
12
(
2005
)
15
,
pp. 923-927
Persistent link: https://www.econbiz.de/10003237722
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