Article
Kionka, M., Odening, M., Plogmann, J., Ritter, M.
(2022).
Measuring liquidity in agricultural land markets Agricultural Finance Review, 82(4), 690-713.
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Schmidt, L., Odening, M., Schlanstein, J., Ritter, M.
(2022).
Exploring the weather-yield nexus with artificial neural networks Agricultural Systems, 196.
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Ritter, M., Djabarian, Y., Grosse, M., Holm-Mueller, K., Leonhardt, H., Uhlemann, J.
(2022).
Digitale Lehre – was bleibt? Die Lehren aus den Digitalsemestern für die Hochschullehre in den Wirtschaftsund Sozialwissenschaften des Landbaus [Digital Teaching - what remains? The Lessons from the Digital Semesters for University Teaching in the Economic and Social Sciences of Agriculture] Berichte über Landwirtschaft, 100(1), 1-22.
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Plogmann, J., Mußhoff, O., Odening, M., Ritter, M.
(2022).
Farm growth and land concentration Land use policy, 115.
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Plogmann, J., Mußhoff, O., Odening, M., Ritter, M.
(2022).
Farmland sales under returns and price uncertainty Economic Modelling, 117.
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Kionka, M., Musshoff, O., Ritter, M., Uhlemann, J., Odening, M.
(2022).
Optimal reserve prices for land auctions in Eastern Germany Applied Economics Letters.
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Balmann, A.
Graubner, M.
Müller, D.
Hüttel, S.
Seifert, S.
Odening, M.
, ... Ritter M.
(2021).
Market Power in Agricultural Land Markets: Concepts and Empirical Challenges German Journal of Agricultural Economics (GJAE), 70(4), 213-235.
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Wechsung, F., Ritter, M., Wall, G.
(2021).
The upper homeostatic range for the temperature–yield response of irrigated US wheat down revised from a theoretical and experimental perspective Agricultural and Forest Meteorology, 307.
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Ritter, M., Ott, D., Paul, F., Haynes, J., Ritter, K.
(2021).
COVID-19: a simple statistical model for predicting intensive care unit load in exponential phases of the disease Scientific Reports, 11(1).
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Wilke, A., Shen, Z., Ritter, M.
(2021).
How much can small-scale wind energy production contribute to energy supply in cities?: A case study of Berlin Energies, 14(17).
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Plogmann, J., Mußhoff, O., Odening, M., Ritter, M.
(2020).
What Moves the German Land Market?: A Decomposition of the Land Rent-Price Ratio German Journal of Agricultural Economics (GJAE), 69(1), 1-18.
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Helbing, G., Ritter, M.
(2020).
Improving wind turbine power curve monitoring with standardisation Renewable energy, 145, 1040-1048.
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Ritter, M., Hüttel, S., Odening, M., Seifert, S.
(2020).
Revisiting the relationship between land price and parcel size in agriculture Land use policy, 97.
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Grau, A., Odening, M., Ritter, M.
(2020).
Land price diffusion across borders–the case of Germany Applied Economics, 52(50), 5446-5463.
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Grau, A., Jasic, S., Ritter, M., Odening, M.
(2019).
The impact of production intensity on agricultural land prices Journal of the Austrian Society of Agricultural Economics, 29, 61-67.
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Myrna, O., Odening, M., Ritter, M.
(2019).
The influence of wind energy and biogas on farmland prices Land, 8(1).
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Yang, X., Odening, M., Ritter, M.
(2019).
The spatial and temporal diffusion of agricultural land prices Land Economics, 95(1), 108-123.
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Helbing, G., Ritter, M.
(2018).
Deep Learning for fault detection in wind turbines Renewable & sustainable energy reviews, 98, 189-198.
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Helbing, G., Shen, Z., Odening, M., Ritter, M.
(2017).
Estimating location values of agricultural land German Journal of Agricultural Economics (GJAE), 66(3), 188-201.
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Ritter, M., Deckert, L.
(2017).
Site assessment, turbine selection, and local feed-in tariffs through the wind energy index Applied Energy, 185, 1087-1099.
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Yang, X., Ritter, M., Odening, M.
(2017).
Testing for regional convergence of agricultural land prices Land use policy, 64, 64-75.
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Elnaggar, M., Edwan, E., Ritter, M.
(2017).
Wind energy potential of Gaza using small wind turbines: A feasibility study Energies, 10(8).
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Ritter, M., Pieralli, S., Odening, M.
(2017).
Neighborhood effects in wind farm performance: A regression approach Energies, 10(3).
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Shen, Z., Ritter, M.
(2016).
Forecasting volatility of wind power production Applied Energy, 176, 295-308.
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Hüttel, S., Ritter, M., Esaulov, V., Odening, M.
(2016).
Is there a term structure in land lease rates? European Review of Agricultural Economics, 43(1), 165-187.
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Pieralli, S., Ritter, M., Odening, M.
(2015).
Efficiency of wind power production and its determinants Energy, 90, 429-438.
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Cao, X., Okhrin, O., Odening, M., Ritter, M.
(2015).
Modelling spatio-temporal variability of temperature Computational statistics (Zeitschrift), 30(3), 745-766.
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Ritter, M., Hüttel, S., Walter, M., Odening, M.
(2015).
Der Einfluss von Windkraftanlagen auf landwirtschaftliche Bodenpreise [The influence of wind energy on agricultural land prices] Berichte über Landwirtschaft, 93(3).
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Ritter, M., Shen, Z., López Cabrera, B., Odening, M., Deckert, L.
(2015).
Designing an index for assessing wind energy potential Renewable energy, 83, 416-424.
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Ritter, M., Mußhoff, O., Odening, M.
(2014).
Minimizing Geographical Basis Using A Multi-Site Rainfall Model Computational Economics, 44(1), 67-86.
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López Cabrera, B., Odening, M., Ritter, M.
(2013).
Pricing rainfall futures at the CME Journal of Banking & Finance, 37(11), 4286-4298.
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Ritter, M.
(2013).
Weather forecasting with market prices of weather futures Journal of Energy Markets, 6(4), 25-41.
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Ritter, M., Musshoff, O., Odening, M.
(2011).
Meteorological forecasts and the pricing of temperature futures Journal of Derivatives, 19(2), 45-60.
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Book chapter
Ritter, M., Hüttel, S.
(2016).
Windenergie: Preistreiber auf dem Bodenmarkt?.
In:
S. Frey, A. Schönitz & S. Wagenknecht
(Ed.),
Vermessung Brandenburg:
Nr. 1/2016
(pp. 25 -31).
Potsdam: Landesvermessung und Geobasisinformation Brandenburg
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Härdle, W., López Cabrera, B., Ritter, M.
(2015).
Forecast-based pricing of weather derivatives.
In:
L. Bernard & W. Semmler
(Ed.),
Handbook on The Macroeconomics of Global WarmingMore information
Conference paper
Schmidt, L., Odening, M., Schlanstein, J., Ritter, M.
(2021).
Estimation of the farm-level yield-weather-relation using machine learning.
GEWISOLA2021, Annual Conference of the German Society of Economic and Social Sciences in Agriculture, September 22-24, 2021 online, Humboldt-Universität zu Berlin Faculty of Life Sciences, Department of Agricultural Economics.
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Mansi, G., Edwan, E., Elnaggar, M., Ritter, M.
(2018).
Design of COTS Vertical Axis Wind Turbine for Urban Areas.
2018 International Conference on Promising Electronic Technologies, ICPET 2018, 3 October 2018 through 4 October 2018.
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Helbing, G., Ritter, M.
(2017).
Power curve monitoring with flexible EWMA control charts.
2017 International Conference on Promising Electronic Technologies, ICPET 2017, 16 October 2017 through 17 October 2017.
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Ritter, M., Helbing, G., Shen, Z., Odening, M.
(2017).
Estimating location values of agricultural land.
German Association of Agricultural Economists (GEWISOLA) 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017.
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Ritter, M., Yang, X., Odening, M.
(2017).
Spatial integration of agricultural land markets.
European Association of Agricultural Economists (EAAE), 2017 International Congress, August 28-September 1, 2017, Parma, Italy.
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Ritter, M., Yang, X., Odening, M.
(2017).
Spatial integration of agricultural land markets.
Agricultural and Applied Economics Association (AAEA) 2017 Annual Meeting, July 30-August 1, Chicago, Illinois.
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Odening, M., Ritter, M., Yang, X.
(2016).
Agricultural Land Prices and the Law of One Price.
26th Annual Conference of the Austrian Society of Agricultural Economics Wien, 15-16 September 2016.
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Ritter, M., Shen, Z., Cabrera, B., Odening, M., Deckert, L.
(2015).
A New Approach to Assess Wind Energy Potential.
7th International Conference on Applied Energy, ICAE 2015, 28 March 2015 through 31 March 2015.
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Odening, M., Ritter, M., Hüttel, S.
(2015).
The term structure of land lease rates.
2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California.
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Pieralli, S., Ritter, M., Odening, M.
(2015).
Efficiency of Wind Power Production and its Determinants.
2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California.
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Ritter, M., Mußhoff, O., Odening, M.
(2012).
Minimizing geographical basis risk of weather derivatives using a multi-site rainfall model.
European Association of Agricultural Economists (EAAE) 123rd Seminar, February 23-24, 2012, Dublin, Ireland.
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Report
Balmann, A.
Demoustier, J.
Grau, A.
Graubner, M.
Hüttel, S.
Kahle, C.
, ... Seifert S.
(2020).
Marktmacht in landwirtschaftlichen Bodenmärkten – Bedeutung, Messung, Abgrenzung.
More information
Kionka, M., Odening, M., Plogmann, J., Ritter, M.
(2020).
Measuring Liquidity in Agricultural Land Markets.
Berlin:
DFG Research Unit 2569 FORLand, Humboldt-Universität zu Berlin
More information
Ritter, M., Ott, D., Friedemann, P., Haynes, J., Ritter, K.
(2020).
COVID-19 – A simple statistical model for predicting intensive care unit load in early phases of the disease.
More information
Plogmann, J., Mußhoff, O., Odening, M., Ritter, M.
(2020).
Farm Growth and Land Concentration.
Berlin:
DFG Research Unit 2569 FORLand, Humboldt-Universität zu Berlin
More information
Wilke, A., Shen, Z., Ritter, M.
(2020).
How Much Can Small-Scale Wind Energy Production Contribute to Energy Supply in Cities? A Case Study of Berlin.
More information
Grau, A., Jasic, S., Ritter, M., Odening, M.
(2019).
The Impact of Production Intensity on Agricultural Land Prices.
Berlin:
DFG Research Unit 2569 FORLand, Humboldt-Universität zu Berlin
More information
Ritter, M., Hüttel, S., Odening, M., Seifert, S.
(2019).
Revisiting the relationship between land price and parcel size.
Berlin:
DFG Research Unit 2569 FORLand, Humboldt-Universität zu Berlin
More information
Yang, X., Odening, M., Ritter, M.
(2018).
The Spatial and Temporal Diffusion of Agricultural Land Prices.
Berlin:
DFG Research Unit 2569 FORLand, Humboldt-Universität zu Berlin
More information
Grau, A., Odening, M., Ritter, M.
(2018).
Land price diffusion across borders: The case of Germany.
Berlin:
DFG Research Unit 2569 FORLand, Humboldt-Universität zu Berlin
More information
Plogmann, J., Mußhoff, O., Odening, M., Ritter, M.
(2018).
What Moves the German Land Market? A Decomposition of the Land Rent-Price Ratio.
Berlin:
DFG Research Unit 2569 FORLand, Humboldt-Universität zu Berlin
More information
Helbing, G., Shen, Z., Odening, M., Ritter, M.
(2017).
Estimating location values of agricultural land.
Berlin:
Humboldt-Universität zu Berlin
More information
Yang, X., Ritter, M., Odening, M.
(2017).
Testing for Regional Convergence of Agricultural Land Prices.
Berlin:
Humboldt-Universität zu Berlin
More information
Ritter, M., Pieralli, S., Odening, M.
(2016).
Neighborhood Effects in Wind Farm Performance: An Econometric Approach.
Berlin:
Humboldt-Universität zu Berlin
More information
Ritter, M., Deckert, L.
(2015).
Site assessment, turbine selection, and local feed-in tariffs through the wind energy index.
Berlin:
Humboldt-Universität zu Berlin
More information
Shen, Z., Ritter, M.
(2015).
Forecasting volatility of wind power production.
Berlin:
Humboldt-Universität zu Berlin
More information
Pieralli, S., Ritter, M., Odening, M.
(2015).
Efficiency of Wind Power Production and its Determinants.
Berlin:
Humboldt-Universität zu Berlin
More information
Ritter, M., Shen, Z., López Cabrera, B., Odening, M., Deckert, L.
(2014).
Designing an Index for Assessing Wind Energy Potential.
Berlin:
Humboldt-Universität zu Berlin
More information
Cao, X., Okhrin, O., Odening, M., Ritter, M.
(2014).
Modelling spatio-temporal variability of temperature.
Berlin:
Humboldt-Universität zu Berlin
More information
Hüttel, S., Ritter, M., Esaulov, V., Odening, M.
(2014).
Is there a Term Structure in Land Lease Rates?.
Berlin:
Humboldt-Universität zu Berlin
More information
López Cabrera, B., Odening, M., Ritter, M.
(2013).
Pricing Rainfall Derivatives at the CME.
Berlin:
Humboldt-Universität zu Berlin
More information
Härdle, W., López-Cabrera, B., Ritter, M.
(2012).
Forecast based Pricing of Weather Derivatives.
Berlin:
Humboldt-Universität zu Berlin
More information
Ritter, M.
(2012).
Can the market forecast the weather better than meteorologists?.
Berlin:
Humboldt-Universität zu Berlin
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Ritter, M., Mußhoff, O., Odening, M.
(2010).
Meteorological forecasts and the pricing of weather derivatives.
Berlin:
Humboldt-Universität zu Berlin
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