Municipal water consumption forecast accuracy

Water Resources Research

Volumn 46, Issue 6, 2010, Pages

  Fullerton Jr , Thomas M ^a   Molina Jr , Angel L ^a  

^a UNIVERSITY OF TEXAS AT EL PASO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE AREA; DATA SETS; ECONOMETRIC FORECASTS; FORECAST ACCURACY; GREY LITERATURE; HISTORICAL OBSERVATION; INFRASTRUCTURE CONSTRUCTION; LABOR MARKETS; MAINTENANCE COST; MUNICIPAL WATER; PREDICTIVE ACCURACY; PREDICTIVE PERFORMANCE; RANDOM WALK; REGIONAL ANALYSIS; ROOT-MEAN SQUARE ERRORS; STATISTICAL ASSESSMENT; SUPPLY CONSTRAINTS; THEIL INEQUALITY; WATER FORECAST;

COMPETITION; DATA FLOW ANALYSIS; ECONOMICS; EMPLOYMENT; ERROR STATISTICS; MAINTENANCE; PUBLIC UTILITIES; QUALITY ASSURANCE; REGIONAL PLANNING; STATISTICAL TESTS; TOTAL QUALITY MANAGEMENT; WATER POLLUTION; WATER QUALITY; WATER SUPPLY;

FORECASTING;

DATA SET; MAINTENANCE; REGRESSION ANALYSIS; WATER ECONOMICS; WATER PLANNING; WATER QUALITY; WATER RESOURCE; WATER SUPPLY;

EID: 77954408732     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009WR008450     Document Type: Article

References (29)

1. Ashley, R., C. W. J. Granger, and R. Schmalensee (1980), Advertising and aggregate consumption: An analysis of causality, Econometrica, 48, 1149-1168, doi:10.2307/1912176.
2. Bianco, V., O. Manca, and S. Nardini (2009), Electricity consumption forecasting in Italy using linear regression models, Energy, 34, 1413-1421, doi:10.1016/j.energy.2009.06.034.
3. Billings, R. B., and C. V. Jones (1996), Forecasting Urban Water Demand, Am. Water Works Assoc., Denver, Colo.
4. Carver, P., and J. Boland (1980), Short-and long-run effects of price on municipal water use, Water Resour. Res., 16, 609-616, doi:10.1029/ WR016i004p00609.
5. Charney, A. H., and C. A. Taylor (1984), Decomposition of ex ante state model forecasting errors, J. Reg. Sci., 24, 229-247, doi:10.1111/j.1467-9787. 1984.tb01034.x.
6. Dalhuisen, J. M., R. J. G. M. Florax, H. L. F. de Groot, and P. Nijkamp (2003), Price and income elasticities of residential water demand: A meta-analysis, Land Econ., 79, 292-308, doi:10.2307/3146872.
7. Foster, H., and B. Beattie (1981), On the specification of price in studies of consumer demand under block price scheduling, Land Econ., 57, 624-629, doi:10.2307/3145676.
8. Franklin, S. L., and D. R. Maidment (1986), An evaluation of weekly and monthly time series forecasts of municipal water use, Water Resour. Bull., 22, 611-621.
9. Fullerton, T. M., Jr. (2001a), Specification of a borderplex econometric forecasting model, Int. Reg. Sci. Rev., 24, 245-260, doi:10.1177/ 016001701761013141. (Pubitemid 32430827)
10. Fullerton, T. M., Jr. (2001b), Borderplex economic outlook: 2001-2003, Bus. Rep. SR01-2, Univ. of Tex. at El Paso Border Reg. Model. Proj., El Paso.
11. Fullerton, T. M., Jr. (2004), Borderplex bridge and air econometric forecast accuracy, J. Transp. Stat., 7, 7-21.
12. Fullerton, T. M., and A. Elías (2004), Short-term water consumption dynamics in El Paso, Texas, Water Resour. Res., 40, W08201, doi:10.1029/2004WR003260. (Pubitemid 39247114)
13. Fullerton, T. M., Jr., and B. W. Kelley (2006), Metropolitan retail predictive accuracy in El Paso, Forecasting Lett., 1, 24-30.
14. Fullerton, T. M., Jr., and B. W. Kelley (2008), El Paso housing sector econometric forecast accuracy, J. Agric. Appl. Econ., 40, 385-402.
15. Fullerton, T. M., Jr., and D. A. Schauer (2001), Regional econometric assessment of aggregate water consumption trends, Australas. J. Reg. Stud., 7, 167-187.
16. Fullerton, T. M., Jr., and R. Tinajero (2005), Borderplex economic outlook: 2005-2007, Bus. Rep. SR05-2, Univ. of Tex. at El Paso Border Reg. Model. Proj., El Paso.
17. Fullerton, T. M., Jr., R. Tinajero, and J. E. Mendoza Cota (2007), An empirical analysis of Tijuana water consumption, Atl. Econ. J., 35, 357-369, doi:10.1007/s11293-007-9074-x.
18. Granger, C. W. J. (1996), Can we improve the perceived quality of economic forecasts?, J. Appl. Econ., 11, 455-473, doi:10.1002/(SICI) 1099-1255(199609)11:5<455:AID-JAE408>3.0.CO;2-E.
19. Hansen, R. D., and R. Narayanan (1981), A monthly time series model of municipal water demand, Water Resour. Bull., 17, 578-585.
20. Klein, L. R. (1984), The importance of the forecast, J. Forecasting, 3, 1-9, doi:10.1002/for.3980030102.
21. Kolb, R. A., and H. O. Stekler (1993), Are economic forecasts significantly better than naïve predictions? An appropriate test, Int. J. Forecasting, 9, 117-120, doi:10.1016/0169-2070(93)90059-V.
22. Martinez-Espiñeira, R. (2002), Residential water demand in the northwest of Spain, Environ. Resour. Econ., 21, 161-187, doi:10.1023/A: 1014547616408. (Pubitemid 34281169)
23. Osborn, C. T., J. E. Schefter, and L. Shabman (1986), The accuracy of water use forecasts: Evaluation and implications, Water Resour. Bull., 22, 101-109.
24. Theil, H.(1975), Economic Forecasts and Policy, North-Holland, Amsterdam.
25. Thoma, M. (2004), Electrical energy use over the business cycle, Energy Econ., 26, 463-485, doi:10.1016/j.eneco.2004.04.006. (Pubitemid 38790853)
26. West, C. T. (2003), Structural regional factors that determine absolute and relative accuracy of U.S. regional labor market forecasts, J. Agric. Appl. Econ., 35, suppl., 121-135.
27. Williams, M., and B. Suh (1986), The demand for urban water by customer class, Appl. Econ., 18, 1275-1289, doi:10.1080/00036848600000003.
28. Worthington, A. C., and M. Hoffman (2008), An empirical survey of residential water demand modelling, J. Econ. Surv., 22, 842-871, doi:10.1111/j.1467-6419.2008.00551.x.
29. Zachariadis, T., and N. Pashourtidou (2007), An empirical analysis of electricity consumption in Cyprus, Energy Econ., 29, 183-198, doi:10.1016/j.eneco.2006.05.002. (Pubitemid 46211058)