National Repository of Grey Literature 6 records found  Search took 0.01 seconds. 
Income Elasticity of Water Demand: A Meta-Analysis
Vlach, Tomáš ; Havránek, Tomáš (advisor) ; Červinka, Michal (referee)
If policymakers address water scarcity with the demand-oriented approach, the income elasticity of water demand is of pivotal importance. Its estimates, however, differ considerably. We collect 307 estimates of the income elasticity of water demand reported in 62 studies, codify 31 variables describing the estimation design, and employ Bayesian model averaging to address model uncertainty inherent to any meta-analysis. The studies were published between 1972 and 2015, which means that this meta-analysis covers a longer period of time than two previous meta-analyses on this topic combined. Our results suggest that income elasticity estimates for developed countries do not significantly differ from income elasticity estimates for developing countries and that different estimation techniques do not systematically produce different values of the income elasticity of water demand. We find evidence of publication selection bias in the literature on the income elasticity of water demand with the use of both graphical and regression analysis. We correct the estimates for publication selection bias and estimate the true effect beyond bias, which reaches approximately 0.2. 1
Price Elasticity of Water Demand: A Meta-Analysis
Thoma, Richard ; Havránek, Tomáš (advisor) ; Janotík, Tomáš (referee)
Meta-analysis is a statistical method that allows us to combine results of em- pirical research. A theoretical summary helped to select appropriate model for the empirical part of this thesis - a meta-analysis focused on the price elas- ticity of residential water demand. A mixed-effects multilevel model, which corrects for selection bias, heteroskedasticity and within-study correlation, was employed. Publication bias was found only for subsample excluding data from the western part of the United States. Heckman meta-regression shows that the true price elasticity of water demand is -0,246. Finally variation in results across studies is explained. Using average price instead of margi- nal, the discrete-continuous choice model and data from the western part of the United States for water demand modelling will result in higher values of estimated elasticity. 1
Income Elasticity of Water Demand: A Meta-Analysis
Vlach, Tomáš ; Havránek, Tomáš (advisor) ; Červinka, Michal (referee)
If policymakers address water scarcity with the demand-oriented approach, the income elasticity of water demand is of pivotal importance. Its estimates, however, differ considerably. We collect 307 estimates of the income elasticity of water demand reported in 62 studies, codify 31 variables describing the estimation design, and employ Bayesian model averaging to address model uncertainty inherent to any meta-analysis. The studies were published between 1972 and 2015, which means that this meta-analysis covers a longer period of time than two previous meta-analyses on this topic combined. Our results suggest that income elasticity estimates for developed countries do not significantly differ from income elasticity estimates for developing countries and that different estimation techniques do not systematically produce different values of the income elasticity of water demand. We find evidence of publication selection bias in the literature on the income elasticity of water demand with the use of both graphical and regression analysis. We correct the estimates for publication selection bias and estimate the true effect beyond bias, which reaches approximately 0.2. 1
Price Elasticity of Water Demand: A Meta-Analysis
Thoma, Richard ; Havránek, Tomáš (advisor) ; Janotík, Tomáš (referee)
Meta-analysis is a statistical method that allows us to combine results of em- pirical research. A theoretical summary helped to select appropriate model for the empirical part of this thesis - a meta-analysis focused on the price elas- ticity of residential water demand. A mixed-effects multilevel model, which corrects for selection bias, heteroskedasticity and within-study correlation, was employed. Publication bias was found only for subsample excluding data from the western part of the United States. Heckman meta-regression shows that the true price elasticity of water demand is -0,246. Finally variation in results across studies is explained. Using average price instead of margi- nal, the discrete-continuous choice model and data from the western part of the United States for water demand modelling will result in higher values of estimated elasticity. 1
Water demand a it's determinants in Czech Republic
Vařecha, Lukáš ; Malý, Vítězslav (advisor) ; Slavíková, Lenka (referee)
What are the structure of household water use and the factors determining residential demand for public water? A survey was carried out in rural areas of the Central Moravia Region, providing specific information on the conditions and the characteristics of water use on household level. Collected data are analyzed using multiple regression, revealing use of alternative water sources together with gardening as main determinants of household water demand.
Analysis of water demand depending on the level of temperature and precipitation
Malý, Vítězslav ; Slavíková, Lenka (advisor) ; Petŕužela, Lubomír (referee)
The demand for water is a very specific variable determined by many factors. The thesis aims to explain how does weather condition influenced the overall character of water demand. Predictions of climate change shows that in terms of CR it can expect changes in total precipitation during the seasons, the increase in average temperatures and a change in the variability and intensity of extreme events. The analysis therefore focuses on clarifying the impact of the level of temperature and precipitation on water withdrawals from public water supply. Analysis used daily data on the collection of water from public water supply for each interested location and daily hydrological data on the level of average daily air temperature and daily rainfall.

Interested in being notified about new results for this query?
Subscribe to the RSS feed.