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Prospects for the Norwegian forest sector : a green shift to come?
Trömborg, Erik; Jåstad, Eirik Ogner; Bolkesjø, … - In: Journal of forest economics : JFE 35 (2020) 4, pp. 305-336
Persistent link: https://www.econbiz.de/10012630837
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An outline of Norwegian forestry : with an introduction to Norwegian forest industry
Skinnemoen, Knut (contributor) - 1964 - 2. ed.
Persistent link: https://www.econbiz.de/10000668012
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Forest Resources, lumber industry and lumber export trade of Norway
Oxholm, Axel Hansteen - 1922
Persistent link: https://www.econbiz.de/10002291964
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Testing roundwood market efficiency using a multivariate cointegration estimator
Størdal, St°ale; Nyrud, Anders Q. - In: Forest policy and economics : a companion journal to … 5 (2003) 1, pp. 57-68
Persistent link: https://www.econbiz.de/10001770985
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Which is more important, carbon or albedo? : optimizing harvest rotations for timber and climate benefits in a changing climate
Lintunen, Jussi; Rautiainen, Aapo; Uusivuori, Jussi Ilkka - In: American journal of agricultural economics 104 (2022) 1, pp. 134-160
Persistent link: https://www.econbiz.de/10012796437
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Modelling of uncertainty in the economic development of the Norwegian forest sector
Jåstad, Eirik Ogner; Mustapha, Walid Fayez; Bolkesjø, … - In: Journal of forest economics : JFE 32 (2018), pp. 106-115
Persistent link: https://www.econbiz.de/10012127448
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Value asymmetries in Norwegian forest governance : the role of institutions and power dynamics
Helseth, Elisabeth Veivåg; Vedeld, Paul O.; Vatn, Arild; … - In: Ecological economics : the transdisciplinary journal of … 214 (2023), pp. 1-15
Persistent link: https://www.econbiz.de/10014452025
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Dynamic causal forests, with an application to payroll tax incidence in Norway
Gavrilova, Evelina; Langørgen, Audun; Zoutman, Floris T. - 2023
Persistent link: https://www.econbiz.de/10014431302
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Dynamic causal forests, with an application to payroll tax incidence in Norway
Gavrilova, Evelina; Langørgen, Audun; Zoutman, Floris T. - 2023
This paper develops a machine-learning method that allows researchers to estimate heterogeneous treatment effects with panel data in a setting with many covariates. Our method, which we name the dynamic causal forest (DCF) method, extends the causal-forest method of Wager and Athey (2018) by...
Persistent link: https://www.econbiz.de/10014307152