Approximate profit functions are estimated using time-series, cross-sectional, county level data for 12 midwest states. Measures of climate variability are included in the profit functions. Simulated impacts of climate changes on profits are derived. Results show that inclusion of measures of climate variation are important for measuring the impact of changes in mean temperature and precipitation levels. Failure to account for the impact of differences in variability leads to an overestimate of damages. If global warming increases diurnal variation, such increases would have negative impacts on the profitability of midwest agriculture
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
The objective of this project is to assess the historical trend of agricultural productivity in the ...
We employ state panel data for the period 1961-2004 to identify the role of climate change on U.S. a...
Approximate profit functions are estimated using time-series, cross-sectional, county level data for...
Approximate profit functions are estimatedusing time-series, cross-sectional, county level data for ...
This study relies on the Ricardian method to estimate the damages of climate change to US agricultur...
This paper measures the economic impact of climate change on US agricultural land. We replicate the ...
Increased weather variability in the Midwest is expected to alter soil water availability and temper...
We quantify weather effects on output and incomes for a panel of Kansas farmers. The effects of weat...
Global warming has been an issue lately in many aspects because it has been in increasing trend sinc...
Climate effects on corn and soybean production on two representative midwestern grain farms are inco...
Abstract Using county-level data from the United States Department of Agriculture’s Census of Agricu...
This study was concerned with the issue of direct economic impacts of abnormal weather conditions on...
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
Using linear programming data envelope analysis (DEA) I studied the impact that high temperatures ha...
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
The objective of this project is to assess the historical trend of agricultural productivity in the ...
We employ state panel data for the period 1961-2004 to identify the role of climate change on U.S. a...
Approximate profit functions are estimated using time-series, cross-sectional, county level data for...
Approximate profit functions are estimatedusing time-series, cross-sectional, county level data for ...
This study relies on the Ricardian method to estimate the damages of climate change to US agricultur...
This paper measures the economic impact of climate change on US agricultural land. We replicate the ...
Increased weather variability in the Midwest is expected to alter soil water availability and temper...
We quantify weather effects on output and incomes for a panel of Kansas farmers. The effects of weat...
Global warming has been an issue lately in many aspects because it has been in increasing trend sinc...
Climate effects on corn and soybean production on two representative midwestern grain farms are inco...
Abstract Using county-level data from the United States Department of Agriculture’s Census of Agricu...
This study was concerned with the issue of direct economic impacts of abnormal weather conditions on...
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
Using linear programming data envelope analysis (DEA) I studied the impact that high temperatures ha...
This paper measures the economic impact of climate change on US agricultural land by estimating the ...
The objective of this project is to assess the historical trend of agricultural productivity in the ...
We employ state panel data for the period 1961-2004 to identify the role of climate change on U.S. a...