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Applied nonparametric regression analysis : the choice of generalized additive models
Haghiri, Morteza
- In:
Review of economics & finance
(
2013
)
1
,
pp. 25-34
Persistent link: https://www.econbiz.de/10009728560
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2
Assessing the impact of economic liberalization across countries : a comparison of dairy industry efficiency in Canada and the USA
Haghiri, Morteza
;
Nolan, James F.
;
Tran, Kien C.
- In:
Applied economics
36
(
2004
)
11
,
pp. 1233-1243
Persistent link: https://www.econbiz.de/10002127832
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3
Traceability in the Canadian red meat sector : do consumers care?
Hobbs, Jill E.
;
Bailey, DeeVon
;
Dickinson, David L.
; …
- In:
Canadian journal of agricultural economics : CJAE
53
(
2005
)
1
,
pp. 47-65
Persistent link: https://www.econbiz.de/10002768305
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4
Evaluating willigness-to-pay for Bison attributes : an experimental auction approach
Hobbs, Jill E.
;
Sanderson, Kim
;
Haghiri, Morteza
-
2006
Persistent link: https://www.econbiz.de/10003324669
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5
An application of the residual deviance analysis in testing input separability restrictions
Haghiri, Morteza
;
Simchi, Alireza
- In:
Applied economics letters
12
(
2005
)
12
,
pp. 755-758
Persistent link: https://www.econbiz.de/10003158146
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6
A nonparametric extension of generalized quadratic Box-Cox models in measuring technical efficiency
Haghiri, Morteza
;
Simchi, Alireza
- In:
Applied economics
43
(
2011
)
19/21
,
pp. 2803-2810
Persistent link: https://www.econbiz.de/10009379588
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7
Non-parametric estimates of technology using generalized additive models : input separability and regulation in Canadian cable television
Haghiri, Morteza
;
Law, Stephen M.
;
Nolan, James
- In:
International journal of economics and finance
4
(
2012
)
1
,
pp. 36-47
Persistent link: https://www.econbiz.de/10009611925
Saved in:
8
Consumer attitudes toward mandatory traceability and labeling systems for farmed Atlantic salmon
Haghiri, Morteza
;
Simchi, Alireza
- In:
Journal of international food & agribusiness marketing …
24
(
2012
)
2
,
pp. 121-136
Persistent link: https://www.econbiz.de/10009548894
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