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Demand Analysis (demand + analysis)

Distribution by Scientific Domains

Business, Economics, Finance and Accounting	85%

Selected Abstracts

Responses to the Illicit Drug Problem: Insights from Supply and Demand Analysis

THE AUSTRALIAN ECONOMIC REVIEW, Issue 1 2010
Suresh Narayanan
First page of article [source]

AN EMPIRICAL SURVEY OF RESIDENTIAL WATER DEMAND MODELLING

JOURNAL OF ECONOMIC SURVEYS, Issue 5 2008
Andrew C. Worthington
Abstract The increased reliance on demand-side management policies as an urban water consumption management tool has stimulated considerable debate among economists, water utility managers, regulators, consumer interest groups and policymakers. In turn, this has fostered an increasing volume of literature aimed at providing best-practice estimates of price and income elasticities, quantifying the impact of non-price water restrictions and gauging the impact of non-discretionary environmental factors affecting residential water demand. This paper provides a synoptic survey of empirical residential water demand analyses conducted in the last 25 years. Both model specification and estimation and the outcomes of the analyses are discussed. [source]

Seismic reliability of V-braced frames: Influence of design methodologies

EARTHQUAKE ENGINEERING AND STRUCTURAL DYNAMICS, Issue 14 2009
Alessandra Longo
Abstract According to the most modern trend, performance-based seismic design is aimed at the evaluation of the seismic structural reliability defined as the mean annual frequency (MAF) of exceeding a threshold level of damage, i.e. a limit state. The methodology for the evaluation of the MAF of exceeding a limit state is herein applied with reference to concentrically ,V'-braced steel frames designed according to different criteria. In particular, two design approaches are examined. The first approach corresponds to the provisions suggested by Eurocode 8 (prEN 1998,Eurocode 8: design of structures for earthquake resistance. Part 1: general rules, seismic actions and rules for buildings), while the second approach is based on a rigorous application of capacity design criteria aiming at the control of the failure mode (J. Earthquake Eng. 2008; 12:1246,1266; J. Earthquake Eng. 2008; 12:728,759). The aim of the presented work is to focus on the seismic reliability obtained through these design methodologies. The probabilistic performance evaluation is based on an appropriate combination of probabilistic seismic hazard analysis, probabilistic seismic demand analysis (PSDA) and probabilistic seismic capacity analysis. Regarding PSDA, nonlinear dynamic analyses have been carried out in order to obtain the parameters describing the probability distribution laws of demand, conditioned to given values of the earthquake intensity measure. Copyright © 2009 John Wiley & Sons, Ltd. [source]

Tourism demand modelling: some issues regarding unit roots, co-integration and diagnostic tests

INTERNATIONAL JOURNAL OF TOURISM RESEARCH, Issue 5 2003
Paresh Kumar Narayan
Abstract This paper investigates the all important issue of diagnostic tests, including unit roots and cointegration, in the tourism demand modelling literature. The origins of this study lie in the apparent lack in the tourism economics literature of detail concerning the diagnostic test aspect. Study of this deficiency has suggested that previous literature on tourism demand modelling may be divided into two categories: the pre-1995 and post-1995 studies. It was found that the pre-1995 and some post-1995 studies have ignored unit root tests and co-integration and, hence, are vulnerable to the so-called ,spurious regression' problem. In highlighting the key diagnostic tests reported by post-1995 studies, this paper contends that there is no need to report the autoregressive conditional heteroskedasticity (ARCH) test, which is applicable only to financial market analysis where the dependent variable is return on an asset. More generally, heteroskedasticity is not seen as a problem in time-series data. However, the reporting of a greater than necessary range of diagnostic tests,,,some of which do not have any theoretical justification with regard to tourism demand analysis,,,does not diminish the precision of the results or the model. This paper should appeal to scholars involved in tourism demand modelling. Copyright © 2003 John Wiley & Sons, Ltd. [source]

Household demand analysis of organic and conventional fluid milk in the United States based on the 2004 Nielsen Homescan panel

AGRIBUSINESS : AN INTERNATIONAL JOURNAL, Issue 3 2010
Pedro A. Alviola IV
Using the 2004 AC Nielsen panel consisting of over 38,000 households, the authors ascertain the influence of selected demographic variables associated with the purchase of organic fluid milk through the estimation of a probit model. From the use of the Heckman two-step procedure, they also calculate own-price, cross-price, and income elasticities by estimating demand relationships for both organic and conventional milk. They find that demographic factors play a crucial role in the household choice of purchasing organic milk. Furthermore, households are more sensitive to own-price changes in the case of organic milk versus conventional milk. Evidence from estimated cross-price elasticities indicates that organic and conventional milk are substitutes. However, quantities purchased of organic milk are more sensitive to changes in prices of conventional milk than vice versa. Consequently, an asymmetric pattern exists with regard to the substitution patterns of the respective milk types. Moreover, evidence indicates that organic milk is responsive to income changes, but conventional milk is not responsive to income changes. Finally, a 1% increase in the price of organic milk reduces total milk sales by 0.20%, but a 1% increase in the price of conventional milk raises total milk sales by 0.31%. [EconLit citations: C25, D12]. © 2010 Wiley Periodicals, Inc. [source]

Estimating own and cross brand price elasticities, and price,cost margin ratios using store-level daily scanner data

AGRIBUSINESS : AN INTERNATIONAL JOURNAL, Issue 4 2001
Junko Kinoshita
This article addresses three issues related to Japanese dairy demand analysis. First, an econometric fluid milk demand model is estimated using store-level daily scanner data to determine whether the own-price elasticities are significantly different from previous estimates based on aggregate market-level data. This is important because of the current debate among Japanese dairy industry leaders concerning whether fluid milk is price inelastic or elastic. Own-price elasticity differences between fresh and reconstituted milk products are also examined. Second, milk product cross-price elasticities are estimated to measure the degree, if any, of substitutability between fresh milk and reconstituted milk products. Because most previous studies have relied upon aggregate market-level data, there are no previous estimates of cross-price elasticities for fresh milk and reconstituted milk products. Finally, price,cost margin ratios are estimated for each commodity using a method that does not require cost data, but rather relies on assumptions regarding the degree of competition to derive the price,cost margin ratio [Econlit alphanumeric subject codes: Q110, Q130]. © 2001 John Wiley & Sons, Inc. [source]

Comparing the True Cost of Living Indices of Demographically Different Households

BULLETIN OF ECONOMIC RESEARCH, Issue 1 2004
Panayiota Lyssiotou
D1 Abstract The comparison of true cost of living indices between demographically different households (relative equivalence scale) is argued to be sensitive to the way demographic characteristics enter demand analysis. In particular, parameters reflecting the cost of demographic characteristics at base prices, though themselves do not have welfare (equivalence scale) interpretation, can alter the benchmark from which demographically varying inflation effects are measured. The empirical analysis, based on a rank-3 demand system applied to UK individual household data, shows that the inflation adjustment of child benefits can vary with the way demographic costs at base period prices are specified. [source]