Humboldt-Universität zu Berlin - Department of Agricultural Economics

Since November 2021 working at the Jönköping International Business School of Jönköping University in Sweden: https://ju.se/en/personinfo?sign=ritmat

Humboldt-Universität zu Berlin Department of Agricultural Economics Quantitative Agricultural Economics Group Philippstr. 13, House 12, ground floor, Room 28 D-10115 Berlin   Head of the group   E-Mail: matthias.ritter@agrar.hu-berlin.de Phone: +49 (0)30 2093 46851 Fax: +49 (0)30 2093 46841

Education

PhD in Economics (Dr. rer. oec.), Technische Universität Berlin (06/2013)
Dissertation: "Weather Risk Management with Weather Derivatives"

Study: Mathematics and Economics at Westfälische Wilhelms-Universität Münster, Technische Universität Berlin, and Humboldt-Universität zu Berlin
Degree: Dipl.-Math., Humboldt-Universität zu Berlin (10/2009)
Diploma thesis: "Weather derivatives: An Overview of Models, Pricing and Hedging" (in German)

Professional Experience

Since 05/2016: Junior professor for Quantitative Agricultural Economics at Humboldt-Universität zu Berlin

02/2019 - 04/2019: Visiting scholar at the Department of Agricultural Economics of the University of Kentucky (USA)

01/2016 - 12/2018: Head of Subproject T1 of the Collaborative Research Center 649 "Economic Risk"

11/2013 - 04/2016: Postdoctoral Researcher at Humboldt-Universität zu Berlin (Department of Agricultural Economics, Farm Management Group)

01/2011 - 10/2013: Research associate at Humboldt-Universität zu Berlin (Department of Agricultural Economics, Farm Management Group)

01/2010 - 02/2013: Research associate at Georg-August-Universität Göttingen (Department of Agricultural Economics and Rural Development, Chair of Farm Management)

01/2010 - 12/2018: Member of the Collaborative Research Center 649 “Economic Risk“

Research Interests

• Agricultural land markets
• Weather risk and climate change
• Renewable energies, especially wind energy
• Data analysis and applied econometrics

Publications

Scientific journals

• Schmidt, L., Odening, M., Schlanstein, J., Ritter, M. (2021): Exploring the Weather-Yield Nexus with Artificial Neural Networks. Agricultural Systems. Accepted.
• Balmann, A., Graubner, M., Hüttel, S., Müller, D., Odening, M., Plogmann, J. M., Ritter, M., Seifert, S. (2021): Market Power in Agricultural Land Markets: Concepts and Empirical Challenges. German Journal of Agricultural Economics 70(4). https://doi.org/10.30430/gjae.2021.0117 .
• Kionka, M., Odening, M., Plogmann, J. M., Ritter, M. (2021): Measuring Liquidity in Agricultural Land Markets. Agricultural Finance Review. https://doi.org/10.1108/AFR-03-2021-0037 .
• Ritter, M., Ott, D.V.M., Paul, F., Haynes, J.-D., Ritter, K. (2021): COVID-19: a simple statistical model for predicting intensive care unit load in exponential phases of the disease. Scientific Reports 11: 5018. https://doi.org/10.1038/s41598-021-83853-2.
• 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), 5523. https://doi.org/10.3390/en14175523.
• Wechsung, F., Ritter, M., Wall, G.W. (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: 108478. https://doi.org/10.1016/j.agrformet.2021.108478.
• Ritter, M., Hüttel, S., Odening, M., Seifert, S. (2020): Revisiting the relationship between land price and parcel size in agriculture. Land Use Policy 97. https://doi.org/10.1016/j.landusepol.2020.104771.
• 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 69(1): 1-18. https://doi.org/10.30430/69.2020.1.1-18.
• Grau, A., Jasic, S., Ritter, M., Odening, M. (2020): The Impact of Production Intensity on Agricultural Land Prices. Austrian Journal of Agricultural Economics and Rural Studies Vol. 29. https.//oega.boku.ac.at/fileadmin/user_upload/Tagung/2019/AJARS29/01_Grau__Jasic__Ritter_und_Odening_DOI29_8.pdf
• Grau, A., Odening, M., Ritter, M. (2020): Land price diffusion across borders – The case of Germany. Applied Economics 52(10): 5446-5463. https://doi.org/10.1080/00036846.2019.1673299.
• Helbing, G., Ritter, M. (2020): Improving Wind Turbine Power Curve Monitoring with Standardisation. Renewable Energy 145: 1040-1048. https://doi.org/10.1016/j.renene.2019.06.112.
• Myrna, O., Odening, M., Ritter, M. (2019): The influence of wind energy and biogas on farmland prices. Land 8(1). https://doi.org/10.3390/land8010019.
• Yang, X., Odening, M., Ritter, M. (2019): The Spatial and Temporal Diffusion of Agricultural Land Prices. Land Economics 95(1): 108-123. https://doi.org/10.3368/le.95.1.108.
• Helbing, G., Ritter, M. (2018): Deep Learning for fault detection in wind turbines. Renewable and Sustainable Energy Reviews 98: 189-198. https://doi.org/10.1016/j.rser.2018.09.012.
• Helbing, G., Shen, Z., Odening, M., Ritter, M. (2017): Estimating location values of agricultural land. German Journal of Agricultural Economics 66(3): 188-201. http://www.gjae-online.de/news/pdfstamps/outputs/GJAE-2aac415a7ccd11598fb37ad0de4b6b19.pdf.
• Elnaggar, M., Edwan, E., Ritter, M. (2017), Wind Energy Potential of Gaza Using Small Wind Turbines: A Feasibility Study. Energies 10(8), 1229. http://dx.doi.org/10.3390/en10081229.
• Ritter, M., Deckert, L. (2017): Site assessment, turbine selection, and local feed-in tariffs through the wind energy index. Applied Energy 185(2): 1087–1099. http://dx.doi.org/10.1016/j.apenergy.2015.11.081.
• Ritter, M., Pieralli, S., Odening, M. (2017): Neighborhood Effects in Wind Farm Performance: A Regression Approach. Energies 2017, 10(3), 365. http://dx.doi.org/10.3390/en10030365.
• Yang, X., Ritter, M., Odening, M. (2017): Testing for Regional Convergence of Agricultural Land Prices. Land Use Policy 64: 64–75. http://dx.doi.org/10.1016/j.landusepol.2017.02.030.
• Hüttel, S., Ritter, R., Esaulov, V., Odening, M. (2016): Is there a term structure in land lease rates? European Review of Agricultural Economics 43(1): 165-187. http://dx.doi.org/10.1093/erae/jbv010.
• Shen, Z., Ritter, M. (2016): Forecasting volatility of wind power production. Applied Energy 176: 295-308. http://dx.doi.org/10.1016/j.apenergy.2016.05.071.
• Cao, X., Okhrin, O., Odening, M., Ritter, M. (2015): Modelling spatio-temporal variability of temperature. Computational Statistics 30(3):745-766. http://dx.doi.org/10.1007/s00180-015-0561-2.
• Pieralli, S., Ritter, M., Odening, M. (2015): Efficiency of Wind Power Production and its Determinants. Energy 90(1): 429-438. http://dx.doi.org/10.1016/j.energy.2015.07.055.
• Ritter, M., Hüttel, S., Walter, M., Odening, M. (2015): Der Einfluss von Windkraftanlagen auf landwirtschaftliche Bodenpreise. Berichte über Landwirtschaft 93(3). http://dx.doi.org/10.12767/buel.v93i3.83.
• 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. http://dx.doi.org/10.1016/j.renene.2015.04.038.

• Ritter, M., Shen, Z., López Cabrera, B., Odening, M., Deckert, L. (2015): A new approach to assess wind energy potential. Energy Procedia 75: 671–676. http://dx.doi.org/10.1016/j.egypro.2015.07.485.

• Ritter, M., Mußhoff, O., Odening, M. (2014): Minimizing Geographical Basis Risk of Weather Derivatives Using A Multi-Site Rainfall Model. Computational Economics 44(1):67–86. http://dx.doi.org/10.1007/s10614-013-9410-y.
• Ritter, M. (2013): Weather forecasting with market prices of weather futures. Journal of Energy Markets 6(4):25-41. http://doi.org/10.21314/JEM.2013.100.
• López Cabrera, B., Odening, M., Ritter, M. (2013): Pricing Rainfall Futures at the CME. Journal of Banking and Finance 37:4286-4298. http://dx.doi.org/10.1016/j.jbankfin.2013.07.042.
• Ritter, M., Mußhoff, O., Odening, M. (2011): Meteorological forecasts and the pricing of temperature futures. The Journal of Derivatives 19(2): 45-60. http://dx.doi.org/10.3905/jod.2011.19.2.045.

Book chapters, working papers and other publications

• Schmidt, L., Odening, M., Schlanstein, J., Ritter, M. (2021): Estimation of the Farm-Level Yield-Weather-Relation Using Machine Learning. Humboldt-Universität zu Berlin, paper presented at GEWISOLA 2021. https://www.conftool.org/gewisola2021/index.php/164-Odening_b.pdf.
• Balmann, A., Demoustier, J., Grau, A., Graubner, M., Hüttel, S., Kahle, C., Müller, D., Odening, M., Plogmann, J., Ritter, M., Seifert, S. (2020): Marktmacht in landwirtschaftlichen Bodenmärkten – Bedeutung, Messung, Abgrenzung. BLE Förderkennzeichen: 2818HS002. Abschlussbericht.
• Kionka, M., Odening, M., Plogmann, J., Ritter, M. (2020): Measuring Liquidity in Agricultural Land Markets. Humboldt-Universität zu Berlin. FORLand-Working Paper 25(2020). https://doi.org/10.18452/22244.
• Plogmann, J., Mußhoff, O., Odening, M., Ritter, M. (2020): Farm growth and land concentration. FORLand-Working Paper 24(2020). https://doi.org/10.18452/21399.
• 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. USAEE Working Paper No. 20-447. https://ssrn.com/abstract=3598580.
• Ritter, M., Haynes, J.-D., Ritter, K. (2020): Covid-19 - A simple statistical model for predicting ICU load in exponential phases of the disease. arXiv preprint. https://arxiv.org/abs/2004.03384.
• Grau, A., Jasic, S., Ritter, M., Odening, M. (2019): The Impact of Production Intensity on Agricultural Land Prices. FORLand Working Paper 09(2019). https://doi.org/10.18452/20103.
• Ritter, M., Hüttel, S., Odening, M., Seifert, S. (2019): Revisiting the relationship between land price and parcel size. FORLand Working Paper 08(2019). https://doi.org/10.18452/19877.
• Plogmann, J., Mußhoff, O., Odening, M., Ritter, M. (2018): What Moves the German Land Market? A Decomposition of the Land Rent-Price Ratio. FORLand-Working Paper 05(2018). http://dx.doi.org/10.18452/19486.2.
• Grau, A., Odening, M., Ritter, M. (2018): Land price diffusion across borders: The case of Germany. Humboldt-Universität zu Berlin. FORLand-Working Paper 03(2018). http://dx.doi.org/10.18452/19263.
• Mansi, G., Edwan, E., Elnaggar, M., Ritter, M. (2018): Design of COTS Vertical Axis Wind Turbine for Urban Areas. Proceedings of the 2018 International Conference on Promising Electronic Technologies (ICPET), IEEE. https://doi.org/10.1109/ICPET.2018.00019.
• Yang, X., Odening, M., Ritter, M. (2018): The Spatial and Temporal Diffusion of Agricultural Land Prices. Humboldt-Universität zu Berlin. FORLand-Working Paper 01(2018). http://dx.doi.org/10.18452/18720.
• Helbing, G., Ritter, M. (2017): Power Curve Monitoring with Flexible EWMA Control Charts. Proceedings of the 2017 International Conference on Promising Electronic Technologies (ICPET), IEEE. https://doi.org/10.1109/ICPET.2017.29
• Ritter, M., Helbing, G., Shen, Z., Odening, M. (2017): Estimating location values of agricultural land. Presented at German Association of Agricultural Economists (GEWISOLA) 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017. https://ageconsearch.umn.edu/record/261985/files/Ritter_118.pdf.
• Ritter, M., Yang, X., Odening, M. (2017): Spatial Integration of Agricultural Land Markets. Presented at the European Association of Agricultural Economists (EAAE) 2017 International Congress, August 28-September 1, 2017, Parma, Italy. http://ageconsearch.umn.edu/record/261430/.
• Ritter, M., Yang, X., Odening, M. (2017): Spatial Integration of Agricultural Land Markets. Presented at the Agricultural and Applied Economics Association (AAEA) 2017 Annual Meeting, July 30-August 1, Chicago, Illinois. http://ageconsearch.umn.edu/record/258133/.
• Helbing, G., Shen, Z., Odening, M., Ritter, M. (2017): Estimating location values of agricultural land. SFB 649 Discussion Paper 2017-002. http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2017-002.pdf.
• Yang, X., Ritter, M., Odening, M. (2017): Testing for Regional Convergence of Agricultural Land Prices. SiAg Working Paper 20. Humboldt-Universität zu Berlin. http://dx.doi.org/10.18452/3238
• Odening, M., Ritter, M., Yang, X. (2016): Agricultural land prices and the law of one price. Proceedings of the 26th Annual Conference of the Austrian Society of Agricultural Economics Wien, 15.-16. September 2016. http://oega.boku.ac.at/de/tagungen/tagung-2016/oega-tagungsband-2016.html
• Ritter, M., Hüttel, S. (2016): Windenergie: Preistreiber auf dem Bodenmarkt? Vermessung Brandenburg 1/2016: 25-31. https://www.geobasis-bb.de/verm_bb/pdf/1_16_Ritter_25-31.pdf

• Ritter, M., Pieralli, S., Odening, M. (2016): Neighborhood Effects in Wind Farm Performance: An Econometric Approach. SFB 649 Discussion Paper 2016-012. http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2016-012.pdf.

• Härdle, W., Lopez Cabrera and Ritter, M. (2015): Forecast based pricing of weather derivatives. Handbook on The Macroeconomics of Global Warming, Semmler, W. and Bernard, L. (eds), Oxford University Press. ISBN 9780199856978. http//dx.doi.org/10.1093/oxfordhb/9780199856978.013.0018.

• Odening, M., Ritter, M., Hüttel, S. (2015): The term structure of land lease rates.  Paper for presentation at Agricultural and Applied Economics Association 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California. http://purl.umn.edu/201664.

• Pieralli, S., Ritter, M., Odening, M. (2015): Efficiency of Wind Power Production and its Determinants. SFB Discussion Paper 2015-004. http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2015-004.pdf; and Paper for presentation at Agricultural and Applied Economics Association 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California. http://purl.umn.edu/205415.

• Ritter, M., Deckert, L. (2015): Site assessment, turbine selection, and local feed-in tariffs through the wind energy index. SFB Discussion Paper 2015-046. http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2015-046.pdf

• Shen, Z., Ritter, M. (2015): Forecasting volatility of wind power production. SFB Discussion Paper 2015-026. http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2015-026.pdf

• Cao, X., Okhrin, O., Odening, M., Ritter, M. (2014): Modelling spatio-temporal variability of temperature. SFB 649 Discussion Paper 2014-020. http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2014-020.pdf.

• Hüttel, S., Ritter, R., Esaulov, V., Odening, M. (2014): Is there a term structure in land lease rates? SiAg Working Paper 17. Humboldt-Universität zu Berlin. http://edoc.hu-berlin.de/series/siag-working-paper/2014-17/PDF/17.pdf

• Ritter, M., Shen, Z., López Cabrera, B., Odening, M., Deckert, L. (2014): Designing an Index for Assessing Wind Energy Potential. SFB 649 Discussion Paper 2014-052. http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2014-052.pdf.

• López Cabrera, B., Odening, M., Ritter, M. (2013): Pricing Rainfall Derivatives at the CME. SFB 649 Discussion Paper 2013-005. http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2013-005.pdf.

• Härdle, W. K., Lopez-Cabrera, B., Ritter, M. (2012): Forecast based Pricing of Weather Derivatives. SFB 649 Discussion Paper 2012-027. http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2012-027.pdf.

• Ritter, M. (2012): Can the market forecast the weather better than meteorologists?. SFB 649 Discussion Paper 2012-067. http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2012-067.pdf.

• Ritter, M., Mußhoff, O., Odening, M. (2012): Minimizing geographical basis risk of weather derivatives using a multi-site rainfall model. Proceedings of the 123rd EAAE Seminar, February 23-24, Dublin, Ireland. http://purl.umn.edu/122527.

• Ritter, M., Mußhoff, O., Odening, M. (2010): Meteorological forecasts and the pricing of weather derivatives. SFB 649 Discussion Paper 2010-043. http://sfb649.wiwi.hu-berlin.de/papers/pdf/SFB649DP2010-043.pdf