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~isPartOf:"Applied economics letters"
~isPartOf:"International journal of production research"
~subject:"Demand"
~subject:"Estimation"
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1
Machine learning applications in household-level demand prediction
Zhao, Shuoli
;
Lai, Yufeng
;
Ye, Chenglong
;
Lee, Keehyun
- In:
Applied economics letters
31
(
2024
)
1
,
pp. 5-11
Persistent link: https://www.econbiz.de/10014441963
Saved in:
2
Threshold mixed data sampling models with a covariate-dependent threshold
Yang, Lixiong
;
Zhang, Chunli
- In:
Applied economics letters
30
(
2023
)
12
,
pp. 1708-1716
Persistent link: https://www.econbiz.de/10014304954
Saved in:
3
Does the stock market contain information about economic growth? : time-varying out of sample causality tests
Ciner, Cetin
- In:
Applied economics letters
26
(
2019
)
13
,
pp. 1138-1142
Persistent link: https://www.econbiz.de/10012204566
Saved in:
4
Inference for treatment effects of job training on wages : using bounds to compute Fisher's exact p-value
Blanco, German
;
Bia, Michela
- In:
Applied economics letters
26
(
2019
)
17
,
pp. 1424-1428
Persistent link: https://www.econbiz.de/10012204812
Saved in:
5
Determinants of football transfers
Ruijg, Jeroen
;
Ophem, Hans van
- In:
Applied economics letters
22
(
2015
)
1/3
,
pp. 12-19
Persistent link: https://www.econbiz.de/10010482101
Saved in:
6
What are the odds? : a measure of the small sample problems
Rotthoff, Kurt
;
Zanzalari, Danielle
;
Jasina, John
- In:
Applied economics letters
18
(
2011
)
10/12
,
pp. 1139-1143
Persistent link: https://www.econbiz.de/10009317528
Saved in:
7
A note on combining on-site samples in a logit model of recreation demand
Caudill, Steven B.
;
Acharya, Ram N.
;
Hite, Diane
- In:
Applied economics letters
16
(
2009
)
13/15
,
pp. 1319-1322
Persistent link: https://www.econbiz.de/10003894197
Saved in:
8
Estimation of household tap water demand function with correction for sample selection bias
Yoo, Seung-hoon
- In:
Applied economics letters
14
(
2007
)
13/15
,
pp. 1079-1082
Persistent link: https://www.econbiz.de/10003606843
Saved in:
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