@incollection{lobell_crop_2010,
	address = {Dordrecht},
	title = {Crop {Responses} to {Climate} and {Weather}: {Cross}-{Section} and {Panel} {Models}},
	volume = {37},
	isbn = {978-90-481-2952-2 978-90-481-2953-9},
	shorttitle = {Crop {Responses} to {Climate} and {Weather}},
	url = {http://www.springerlink.com/index/10.1007/978-90-481-2953-9_6},
	abstract = {Crop choices vary by climate, e.g., Florida specializes in citrus crops while Iowa specializes in corn and soybeans. The advantage of a cross-sectional analysis is that it incorporates how farmers adapt to existing difference in average climate conditions across space. A potential downfall is omitted variable bias. A panel analysis can overcome omitted variable bias by including fixed effects to capture all additive time-invariant influences, yet does not account for the same set of adaptation possibilities.},
	urldate = {2017-07-27},
	booktitle = {Climate {Change} and {Food} {Security}},
	publisher = {Springer Netherlands},
	author = {Schlenker, Wolfram},
	editor = {Lobell, David and Burke, Marshall},
	year = {2010},
	doi = {10.1007/978-90-481-2953-9_6},
	keywords = {CK, Untagged},
	pages = {99--108},
}

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