Arbeitspapier
Using Degree Days to Value Farmland
Farmland values have traditionally been valued using seasonal temperature and precipitation. A new strand of the literature uses degree days over the growing season to predict farmland value. We find that degree days and daily temperature are interchangeable over the growing season. However, the way that degree days are used in these recent studies is problematic and leads to biased and inaccurate results. These new findings have serious implications for any study that copies this methodology.
- Language
-
Englisch
- Bibliographic citation
-
Series: CESifo Working Paper ; No. 5148
- Classification
-
Wirtschaft
Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
Renewable Resources and Conservation: Land
Valuation of Environmental Effects
Climate; Natural Disasters and Their Management; Global Warming
- Subject
-
degree days
climate change impacts
agriculture
land values
- Event
-
Geistige Schöpfung
- (who)
-
Massetti, Emanuele
Mendelsohn, Robert
Chonabayashi, Shun
- Event
-
Veröffentlichung
- (who)
-
Center for Economic Studies and ifo Institute (CESifo)
- (where)
-
Munich
- (when)
-
2014
- Handle
- Last update
-
10.03.2025, 11:41 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Massetti, Emanuele
- Mendelsohn, Robert
- Chonabayashi, Shun
- Center for Economic Studies and ifo Institute (CESifo)
Time of origin
- 2014
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Using Degree Days to Value Farmland
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High nature value farmland : characteristics, trends and policy challenges
Classification of farmland using multitemporal aerial images
A new nonlinear method for calculating growing degree days
Farmland quality assessment using deep learning and UAVs
Analysing farmland rental rates using Bayesian geoadditive quantile regression
Resilience-based perspectives to guiding high-nature-value farmland through socioeconomic change
Agricultural Districts and Use-Value Assessment: The New York Experience in Farmland Retention
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Forced Sales and Farmland Prices
Determination of annual generations of Phytomyza orobanchia Kalt. (Diptera: Agromyzidae), using growing degree-days in Alexandria region, Egypt
Using Degree Days to Value Farmland
Farmland value forecasting and the estimation of monthly payment of farmland pension considering the regional differences
High nature value farmland : characteristics, trends and policy challenges
Classification of farmland using multitemporal aerial images
A new nonlinear method for calculating growing degree days
Farmland quality assessment using deep learning and UAVs
Analysing farmland rental rates using Bayesian geoadditive quantile regression
Resilience-based perspectives to guiding high-nature-value farmland through socioeconomic change
Agricultural Districts and Use-Value Assessment: The New York Experience in Farmland Retention
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Forced Sales and Farmland Prices