Stein T. Holden | NMBU (original) (raw)
I am a professor in Development and Resource Economics in the School of Economics and Business at Norwegian University of Life Sciences, Ås, Norway. I am also an active member of the Centre for Land Tenure Studies in our university that was established in 2011 and is a collaboration between three of our faculties.
Address: Brisbane, Queensland, Australia
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Papers by Stein T. Holden
Environmental & resource economics, Mar 18, 2024
World Development, Jun 1, 2020
RePEc: Research Papers in Economics, 2013
RePEc: Research Papers in Economics, Apr 23, 2015
RePEc: Research Papers in Economics, Mar 12, 2015
We make cross-sectional comparisons of productivity in a risky agricultural setting. To make mean... more We make cross-sectional comparisons of productivity in a risky agricultural setting. To make meaningful comparisons, we find it necessary to define a new productivity index that satisfies important axioms from index number theory (e.g., transitivity). The index can be computed without any information on output or input prices. However, it cannot be computed without an estimate of a state-contingent production frontier. We use maximum likelihood methods to estimate a state-contingent stochastic production frontier that explicitly allows for variations in input quality. We find that differences in productivity are mainly due to differences in environment and scale-mix efficiency. In turn, we conjecture that differences in scale-mix efficiency are partly driven by variations in access to input subsidies. The maximum likelihood estimator appears to do a poor job of disentangling the effects of technical inefficiency and statistical noise.
Frontiers in sustainable food systems, Jun 9, 2023
Routledge eBooks, Dec 23, 2022
Social Science Research Network, 2022
Journal of behavioral and experimental economics, Dec 1, 2022
2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia, 2018
Environmental & resource economics, Mar 18, 2024
World Development, Jun 1, 2020
RePEc: Research Papers in Economics, 2013
RePEc: Research Papers in Economics, Apr 23, 2015
RePEc: Research Papers in Economics, Mar 12, 2015
We make cross-sectional comparisons of productivity in a risky agricultural setting. To make mean... more We make cross-sectional comparisons of productivity in a risky agricultural setting. To make meaningful comparisons, we find it necessary to define a new productivity index that satisfies important axioms from index number theory (e.g., transitivity). The index can be computed without any information on output or input prices. However, it cannot be computed without an estimate of a state-contingent production frontier. We use maximum likelihood methods to estimate a state-contingent stochastic production frontier that explicitly allows for variations in input quality. We find that differences in productivity are mainly due to differences in environment and scale-mix efficiency. In turn, we conjecture that differences in scale-mix efficiency are partly driven by variations in access to input subsidies. The maximum likelihood estimator appears to do a poor job of disentangling the effects of technical inefficiency and statistical noise.
Frontiers in sustainable food systems, Jun 9, 2023
Routledge eBooks, Dec 23, 2022
Social Science Research Network, 2022
Journal of behavioral and experimental economics, Dec 1, 2022
2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia, 2018