Privately-Operated Water Utilities, Municipal Price Negotiation, and Estimation of Residential Water Demand: The case of France

By Céline Nauges, Alban Thomas. 2000

236 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ef7d1392a30f44be33bae2e016ed94bcd7e59315

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In Economics and Econometrics

Citations in the corpus

Price Knowledge in Household Demand for Utility Services (2005, background): “…significant interaction terms for the utility dummy variables with income and household size also suggest other endogenous characteristics of each utility service area may contribute to the decision to know the price of service (e.g., Nauges and Thomas 2000; Olmstead, Hanemann, and Stavins 2003).”
Effect of price information on residential water demand (2006, unknown): “22 The 2000 US Census was used because the 1990 Census did not allow us to match a good number of service areas because of changes in zip codes or names of places. components of price or, in our case, to the choice of billing information in a specific community (Nauges and Thomas, 2000).”
An Estimation of Residential Water Demand Using Co-Integration and Error Correction Techniques (2007, unknown): “Some exceptions which use European data are Hansen (1996), Höglund (1999), Nauges and Thomas (2000), and Martínez-Espiñeira (2002).”
Is all domestic water consumption sensitive to price control? (2004, background): “…model should not be a too strong restriction in this case as previous estimates of price and income elasticity of residential water demand are often found of similar magnitude (between 0.10 and 0.30) and of opposite sign (Renwick and Archibald, 1998; Höglund, 1999; Nauges and Thomas, 2000).”
Estimation of Water Demand in Developing Countries (2010, background): “Céline Nauges (corresponding author) is a senior researcher at the National Institute for Research in Agriculture (INRA) and at the Toulouse School of Economics, France; email address: celine.nauges@ toulouse.inra.fr.”
The determinants of residential water demand: empirical evidence for a panel of Italian municipalities (2006, unknown): “The addition of explanatory factors is necessary in order to both verify the robustness of price and income elasticity estimates across different specifications and to explore further water demand determinants (Nauges and Thomas, 2000; Renzetti, 2002).”
An Empirical Survey of Residential Water Demand Modelling (2008, unknown): “2001; Timmins 2002); twenty-four percent are in Europe (Nauges and Thomas 2000; Martinez-Espineira 2002; Nauges and Thomas 2003), sixteen percent are in Australia (Higgs and Worthington 2001; Hoffman et al.”
Estimation of residential water demand: a state-of-the-art review (2003, methodology): “Few studies of water demand in Europe use intra-annual data.5 Only comparisons between annual water demand in a rainy year and annual water demand in another (more or less rainy, dry) year have been made(Nauges and Thomas, 2000).”
Household Adoption of Water-Efficient Equipment: The Role of Socio-Economic Factors, Environmental Attitudes and Policy (2010, background): “8 Nauges and Thomas (2000) show a positive effect on water consumption from a higher proportion of old residences (built before 1949) and a negative effect of the proportion of housing built after 1982.”
Price impact on urban residential water demand: A dynamic panel data approach (2004, background): “Although various dynamic panel data models have been proposed on the basis of a theoretical framework, the empirical use of dynamic panels is rare in the field of water demand [Höglund, 1999; Nauges and Thomas, 2000, 2003].”