Machine learning in agricultural and applied economics H Storm, K Baylis, T Heckelei European Review of Agricultural Economics 47 (3), 849-892, 2020 | 190 | 2020 |
Direct payments, spatial competition, and farm survival in Norway H Storm, K Mittenzwei, T Heckelei American journal of agricultural economics 97 (4), 1192-1205, 2015 | 83 | 2015 |
Estimating irrigation water demand in the Moroccan Drâa Valley using contingent valuation H Storm, T Heckelei, C Heidecke Journal of environmental management 92 (10), 2803-2809, 2011 | 41* | 2011 |
Heterogeneous impacts of neighbouring farm size on the decision to exit: evidence from Brittany LDF Saint-Cyr, H Storm, T Heckelei, L Piet European Review of Agricultural Economics 46 (2), 237-266, 2019 | 40 | 2019 |
Multi-scale resilience of a communal rangeland system in South Africa S Rasch, T Heckelei, H Storm, R Oomen, C Naumann Ecological Economics 131, 129-138, 2017 | 33 | 2017 |
Beyond the single farm–A spatial econometric analysis of spill-overs in farm diversification in the Netherlands W Vroege, M Meraner, N Polman, H Storm, W Heijman, R Finger Land Use Policy 99, 105019, 2020 | 28 | 2020 |
Bayesian estimation of non-stationary Markov models combining micro and macro data H Storm, T Heckelei, RC Mittelhammer European Review of Agricultural Economics 43 (2), 303-329, 2016 | 23 | 2016 |
Permanence of PES and the role of social context in the Regional Integrated Silvo-pastoral Ecosystem Management Project in Costa Rica S Rasch, T Wünscher, F Casasola, M Ibrahim, H Storm Ecological Economics 185, 107027, 2021 | 22 | 2021 |
Modelling farm structural change: A feasibility study for ex-post modelling utilizing FADN and FSS data in Germany and developing an ex-ante forecast module for the CAPRI farm … A Gocht, N Röder, S Neuenfeldt, H Storm, T Heckelei JRC Research Reports, 2012 | 13 | 2012 |
Reducing omitted-variable bias in spatial-interaction models by considering multiple neighbourhoods H Storm, T Heckelei Spatial Economic Analysis 13 (4), 457-472, 2018 | 9 | 2018 |
Short term prediction of agricultural structural change using farm accountancy data network and farm structure survey data H Storm, T Heckelei, M Espinosa, S Gomez y Paloma German Journal of Agricultural Economics 64 (3), 163-174, 2015 | 7 | 2015 |
The cost-effectiveness of conservation auctions in the presence of asset specificity: An agent-based model EC Santos, H Storm, S Rasch Land Use Policy 102, 104907, 2021 | 5 | 2021 |
Machine learning in agricultural economics K Baylis, T Heckelei, H Storm Handbook of Agricultural Economics 5, 4551-4612, 2021 | 5 | 2021 |
The case of organic dairy conversion in Norway: Assessment of multivariate neighbourhood effects TA Marton, H Storm Q Open 1 (1), qoab009, 2021 | 5 | 2021 |
Are maize marketers averse to quality loss in supplies? A case study from Ghana NE Bassey, A Kuhn, H Storm Agricultural economics 49 (5), 649-658, 2018 | 3 | 2018 |
Pricing behaviour of cooperatives and investor-owned dairies in a spatial market setting Y Zavelberg, H Storm | 3 | 2015 |
Farm survival and direct payments in the Norwegian farm sector H Storm, K Mittenzwei Norsk institutt for landbruksøkonomisk forskning, 2013 | 3 | 2013 |
Willingness to Pay for Irrigation Water in the Drâa Valley in Morocco: An Application of the Contingent Valuation Method and the MIVAD Model H Storm | 3 | 2009 |
Evaluating environmental effects of adopting automatic milking systems on Norwegian dairy farms E Martinsson, H Hansson, K Mittenzwei, H Storm European Review of Agricultural Economics 51 (1), 128-156, 2024 | 2 | 2024 |
How much can farmers pay for weeding robots? A Monte Carlo simulation study L Shang, C Pahmeyer, T Heckelei, S Rasch, H Storm Precision agriculture 24 (5), 1712-1737, 2023 | 2 | 2023 |