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~isPartOf:"Discussion paper / Centre for Economic Policy Research"
~isPartOf:"International journal of electronic business"
~isPartOf:"International journal of forecasting"
~isPartOf:"Ruhr economic papers"
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Search: subject_exact:"Suchmaschinentechnik"
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Discussion paper / Centre for Economic Policy Research
International journal of electronic business
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Marketing science : the marketing journal of the Institute for Operations Research and the Management Sciences
33
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1
Nowcasting growth using Google Trends data : a Bayesian Structural Time Series model
Kohns, David
;
Bhattacharjee, Arnab
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1384-1412
Persistent link: https://www.econbiz.de/10014465289
Saved in:
2
Forecasting GDP growth rates in the United States and Brazil using Google Trends
Bantis, Evripidis
;
Clements, Michael P.
;
Urquhart, Andrew
- In:
International journal of forecasting
39
(
2023
)
4
,
pp. 1909-1924
Persistent link: https://www.econbiz.de/10014465341
Saved in:
3
Forecasting unemployment insurance claims in realtime with Google Trends
Aaronson, Daniel
;
Brave, Scott A.
;
Butters, R. Andrew
; …
- In:
International journal of forecasting
38
(
2022
)
2
,
pp. 567-581
Persistent link: https://www.econbiz.de/10013348662
Saved in:
4
Forecasting sales using online review and search engine data : a method based on PCA-DSFOA-BPNN
Zhang, Chuan
;
Tian, Yu-Xin
;
Fan, Zhi-Ping
- In:
International journal of forecasting
38
(
2022
)
3
,
pp. 1005-1024
Persistent link: https://www.econbiz.de/10013349638
Saved in:
5
Can Google search data help predict macroeconomic series?
Niesert, Robin F.
;
Oorschot, Jochem A.
;
Veldhuisen, …
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 1163-1172
Persistent link: https://www.econbiz.de/10012498584
Saved in:
6
Demand forecasting with user-generated online information
Schaer, Oliver
;
Kourentzes, Nikolaos
;
Fildes, Robert
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 197-212
Persistent link: https://www.econbiz.de/10012300604
Saved in:
7
Online big data-driven oil consumption forecasting with Google trends
Yu, Lean
;
Zhao, Yaqing
;
Tang, Ling
;
Yang, Zebin
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 213-223
Persistent link: https://www.econbiz.de/10012300673
Saved in:
8
Understanding the efficiency of keywords in search engine marketing : a comparison study using data envelopment analysis
Jiang, Pingjun
- In:
International journal of electronic business
14
(
2018
)
3
,
pp. 273-292
Persistent link: https://www.econbiz.de/10011989711
Saved in:
9
The predictive power of Google searches in forecasting US unemployment
D'Amuri, Francesco
;
Marcucci, Juri
- In:
International journal of forecasting
33
(
2017
)
4
,
pp. 801-816
Persistent link: https://www.econbiz.de/10011746909
Saved in:
10
Analysing clickstream data : do paid and organic search affect each other?
Bremer, Vincent
;
Funk, Burkhardt
- In:
International journal of electronic business
13
(
2016/2017
)
2/3
,
pp. 205-215
Persistent link: https://www.econbiz.de/10011777650
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