Household Size and Residential Water Demand: An Empirical Approach

The effectiveness of pricing policies depends on the price elasticity of consumption. It is well documented that residential demand for water is influenced by heterogeneity associated with differences in the size of the household and socioeconomic characteristics. In this paper, we focus on household size. Our initial hypothesis is that users’ sensitivity to changes in price is different depending on the number of household members. To this end, we carry out an empirical estimation of urban water demand in Zaragoza (Spain) distinguishing between households with different sizes using data at the individual level. As far as we are aware, this approach to urban residential water demand is new in the literature. The analysis suggests that all households are sensitive to prices regardless of size. A more relevant finding is that small households are more sensitive to price changes.

[1]  Peter E. Kennedy Estimation with Correctly Interpreted Dummy Variables in Semilogarithmic Equations , 1981 .

[2]  Fernando Arbués,et al.  Estimation of residential water demand: a state-of-the-art review , 2003 .

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

[4]  Janie M. Chermak,et al.  The Demand for Water: Consumer Response to Scarcity , 2003 .

[5]  Richard Blundell,et al.  Consumer Behaviour: Theory and Empirical Evidence--A Survey , 1988 .

[6]  Helen Higgs,et al.  Urban Water Demand with Fixed Volumetric Charging in a Large Municipality: The Case of Brisbane, Australia , 2006 .

[7]  Graeme C. Dandy,et al.  Estimating Residential Water Demand in the Presence of Free Allowances , 1997 .

[8]  M. Arellano,et al.  A NOTE ON THE ANDERSON-HSIAO ESTIMATOR FOR PANEL DATA , 1989 .

[9]  Seung-Jun Kwak,et al.  Estimation of residential electricity demand function in Seoul by correction for sample selection bias , 2007 .

[10]  Molly Espey,et al.  Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities , 2004, Journal of Agricultural and Applied Economics.

[11]  Russell Smyth,et al.  The residential demand for electricity in Australia: an application of the bounds testing approach to cointegration , 2005 .

[12]  Inmaculada Villanúa,et al.  Price impact on urban residential water demand: A dynamic panel data approach , 2004 .

[13]  Sylvestre Gaudin,et al.  Effect of price information on residential water demand , 2006 .

[14]  R. A. Lyman,et al.  Peak and off‐peak residential water demand , 1992 .

[15]  Dimitris Hatzinikolaou,et al.  On the Role of Semielasticity in Statistics , 2004 .

[16]  A. Worthington,et al.  An Empirical Survey of Residential Water Demand Modelling , 2008 .

[17]  Inmaculada Villanúa,et al.  Potential for Pricing Policies in Water Resource Management: Estimation of Urban Residential Water Demand in Zaragoza, Spain , 2006 .

[18]  M. Renwick,et al.  Demand Side Management Policies for Residential Water Use: Who Bears the Conservation Burden? , 1998 .

[19]  D. Agthe,et al.  Equity, Price Elasticity, and Household Income Under Increasing Block Rates for Water , 1987 .

[20]  Stephen Bond,et al.  Investment and Tobin's Q: Evidence from company panel data , 1992 .

[21]  Michael Nieswiadomy,et al.  Estimating urban residential water demand: Effects of price structure, conservation, and education , 1992 .

[22]  Dynamics of residential water consumption in a panel of Italian municipalities , 2007 .

[23]  Engel curves, household characteristics and low-user tariff schemes in natural gas , 2009 .

[24]  Cheng Hsiao,et al.  Analysis of Panel Data , 1987 .

[25]  Runa Nesbakken,et al.  Price sensitivity of residential energy consumption in Norway , 1999 .

[26]  Xavier Labandeira,et al.  A Residential Energy Demand System for Spain , 2005 .

[27]  Jessica L. Lowrey,et al.  Residential Water Demand Management: Lessons from Aurora, Colorado 1 , 2008 .

[28]  Takashi Yamagata A joint serial correlation test for linear panel data models , 2008 .

[29]  J. Schleich,et al.  Determinants of residential water demand in Germany , 2009 .