Fixed Effects Estimation of the Intensive and Extensive Margins of Irrigation Water Demand

Irrigation water demand is estimated using field-level panel data from Kansas over 16 years. The cost of pumping varies over time due to changes in energy prices and across space due to differences in the depth to water. Exploiting this variation allows us to estimate the demand elasticity while controlling for field-farmer and year fixed effects. Fixed effects also allow us to control for land use without an instrument or assumptions about the distribution of errors. Our estimates of water demand are used to calculate the cost of reducing irrigation water use through water pricing, irrigation cessation, and intensity-reduction programs.

[1]  Philip Ireland,et al.  Climate change adaptation: Business-as-usual aid and development or an emerging discourse for change? , 2012 .

[2]  W. Hanemann,et al.  Does Marginal Price Matter? A Regression Discontinuity Approach to Estimating Water Demand , 2008 .

[3]  A. Cameron,et al.  Microeconometrics: Methods and Applications , 2005 .

[4]  J. Savage Essays on the spatial dynamic interaction of individual behavior, institutions, and the environment , 2011 .

[5]  Lung-fei Lee Generalized Econometric Models with Selectivity , 1983 .

[6]  AfDB AfDB AfDB Group Annual Report 2007 , 2005 .

[7]  Jeffrey A. Dubin,et al.  An Econometric Analysis of Residential Electric Appliance Holdings and Consumption , 1984 .

[8]  J. Baffes More on the Energy/Non-Energy Commodity Price Link , 2009 .

[9]  Phoebe Koundouri,et al.  Potential for groundwater management: Gisser‐Sanchez effect reconsidered , 2004 .

[10]  Sheila M. Olmstead The Economics of Managing Scarce Water Resources , 2010, Review of Environmental Economics and Policy.

[11]  David Zilberman,et al.  The Effects of Pricing Policies on Water Conservation and Drainage , 1990 .

[12]  N. Gollehon,et al.  Multicrop Production Decisions in Western Irrigated Agriculture: The Role of Water Price , 1994 .

[13]  Jeffrey M. Woodbridge Econometric Analysis of Cross Section and Panel Data , 2002 .

[14]  John B. Loomis,et al.  Irrigation water demand: A meta‐analysis of price elasticities , 2006 .

[15]  J. Angrist,et al.  Digitized by the Internet Archive in 2011 with Funding from Estimation of Limited-dependent Variable Models with Dummy Endogenous Regressors: Simple Strategies for Empirical Practice , 2011 .

[16]  Chenggang Wang,et al.  The Economics of Commonly Owned Groundwater When User Demand Is Perfectly Inelastic , 2011 .

[17]  M. Wickens A Note on the Use of Proxy Variables , 1972 .

[18]  Sarah E. West Distributional Effects of Alternative Vehicle Pollution Control Policies , 2004 .

[19]  Karina Schoengold,et al.  Price elasticity reconsidered: Panel estimation of an agricultural water demand function , 2006 .

[20]  E. Mansur,et al.  Climate change adaptation: A study of fuel choice and consumption in the US energy sector , 2008 .

[21]  A. Allen The Conservation Reserve Enhancement Program , 2005 .

[22]  F. Mannering,et al.  A DYNAMIC EMPIRICAL ANALYSIS OF HOUSEHOLD VEHICLE OWNERSHIP AND UTILIZATION , 1985 .

[23]  P. Portney The theory of environmental policy , 1976 .

[24]  B. Beattie Irrigated agriculture and the Great Plains: problems and policy alternatives [Ogallala Aquifer-High Plains Region; Nebraska; Colorado; Kansas; New Mexico; Oklahoma; Texas; USA] , 1981 .

[25]  J. M. Peterson,et al.  Economic Adjustments to Groundwater Depletion in the High Plains: Do Water‐Saving Irrigation Systems Save Water? , 2005 .