City size and household food consumption: demand elasticities in Spain

Are food price elasticities different across city sizes? The aim of this article is to estimate expenditure and own-price elasticities for 10 aggregated food product groups using the Spanish Household Budget Survey for the year 2010. These products are the ones for which the survey provides information regarding prices and quantities, thus allowing the application of an Almost Ideal Demand System (AIDS) model with censored data. The estimation procedure allows not only comparisons to be made among households with different levels of income, but also the contribution of residence characteristics to variations in demand. The results confirm that the size of the city in which the household resides has a similar significant and relevant effect on consumption patterns as family income level. This is especially clear with own-price elasticities. In Spain, large central cities show a greater response to price changes than smaller cities or rural peripheral areas.     

Conditional and unconditional food demand elasticities in a dynamic multistage demand system

This paper estimates conditional and unconditional demand elasticities in a three stage analysis of consumer demand for food and non-food items in Greece. A dynamic version of the AIDS model is specified and estimated, and full system misspecification tests applied. Correction formulas for price and expenditure elasticities are used to calculate unconditional elasticities from conditional demand sub-systems. All food items rank as price inelastic. Deviations between the calculated conditional and unconditional price and expenditure elasticities are found to be significant, demonstrating the importance of correcting conditional elasticities before they can be used for policy purposes or welfare analyses.     

The effects of price on household demand for food and calories in poor countries: are our databases giving reliable estimates?

Food price policy relies heavily on estimated price elasticities of food demand to help balance the nutritional and economic objectives in poor countries. Economists use either unit values (ratios of household expenditure to quantity purchased) or community prices (enumerated from vendors in local markets) as proxies for market prices when estimating price elasticities with household survey data. Biases are believed to result from using unit values, due to measurement error and quality effects, but evidence on this issue is lacking and even less is known about community prices. This article provides an empirical evidence from Vietnam, which suggests that economists should exercise caution when estimating price elasticities from household surveys. A 14-food demand system is estimated alternatively with unit values or community prices, and the elasticity of calories with respect to rice prices is calculated. This elasticity is more than twice as large (?0.54 versus ?0.22) when community prices are used rather than unit values. Hence, conclusions about the nutritional effects of rice price increases appear sensitive to data choices made by economists. More generally, this discrepancy suggests that the household survey databases commonly used by economists may not provide reliable estimates.     

Quantile Regression Analysis of Predictors of Calorie Demand in India: An Implication for Sustainable Development Goals

This study examined predictors of households’ calorie demand using consumer expenditure survey data during the time frame of millennium development goals. It draws suggestions for achieving sustainable development goals to eliminate calorie-poverty. We used the log of per-capita calorie intake as the calorie demand. Endogeneity corrected quantile regression was applied to examine the distributional effect of predictors. Findings revealed calorie-monthly per-capita consumption expenditure (MPCE) elasticities were positively statistically significant across quantiles in rural-and urban-areas, but, contrary to traditional wisdom, elasticities are lower for calorie-poor than calorie-rich households. Dietary diversification of food items, relative food price, and share of medical-and education-expenditure were the main adverse drivers of calorie demand. Our results are robust to the under-reporting and measurement error. The policy implications are: (a) only focusing on pro-poor income enhancing strategies will not able to reduce calorie deprivation, it should be backed by imparting awareness about food choice and nutritional value of low price food items, (b) to implement necessary policy to maintain stable food inflation and effectively targeted food subsidy for calorie poor, (c) to adopt forward-looking medical-and education-policy such as free health and education facilities to all by enhancing public spending to revive the quality of public hospitals and educational institutions.

     

Food security in Kenya: Insights from a household food demand model

This paper evaluates the household food security situation in Kenya in terms of access to food. We apply a quadratic almost ideal demand system (QUAIDS) model to nationally representative household survey data from Kenya, and estimate and interpret price and expenditure elasticities as indicators of household sensitivity to market shocks. Our estimation results show positive expenditure elasticities, close to unity, while all compensated and uncompensated own-price elasticities are negative and smaller in magnitude. A complementary welfare analysis shows high compensated variations in the long run, ranging between 34% and 131% across food groups. This suggests that rising relative food costs have led to deterioration of the food security situation in Kenya, and the most severely affected households seem to be those that rely on informal markets and reside in rural areas. To improve food security, targeted income support could be a more effective policy than price support, given the much higher estimated expenditure elasticities.     

Estimation of the effects of price on apartment water demand using cointegration and error correction techniques

Water price is a key instrument in regulating water demand in the residential sector. Many empirical studies have assessed the effects of price through quantifying the price elasticity of water demand. However, most of these studies have mainly focused on the single-family housing rather the multifamily housing. An in-depth understanding of the price elasticity of multifamily housing water demand is paramount for water planners in order to properly manage water use in the fast growing intensive housing developments in urban areas. This study investigates both the long-term and short-term price elasticities of water demand in the residential apartments in Auckland central city. Using 6 years of monthly time series data, the price elasticities were estimated through cointegration and error correction methods. The results showed that the price elasticities of water demand were ?0.14 and ?0.12 in the short term and the long term, respectively. The price is inelastic yet negative and statistically significant, thus it can play a role in demand management.     

Consumer welfare effects of increased food and energy prices

In this study, the authors evaluated how much price changes in food and energy – two basic living expenditures competing for consumers’ budgets – would affect consumer welfare. We first estimated a US complete demand system to quantify the interdependent demand relationships among 11 categories of consumption expenditures. Among the estimates, the own price elasticities of both food and energy are relatively inelastic, a finding that explains the dynamics of the recent soaring food and energy prices. The estimated demand elasticities were then incorporated into the measurement of Hicksian compensating variation to analyse the consumer welfare effects of price changes in food and energy. The results indicated that an increase in food and energy prices would increase compensated expenditures or incur a substantial consumer welfare loss, creating an especially heavy burden for low income households.     

International comparisons of expenditure patterns

The linear expenditure system (LES) of Stone (1954) is fitted to an eight-commodity classification of personal consumption expenditures in the national accounts data of 19 countries widely dispersed in the development spectrum. Cross-country comparison of the results reveals some discernible patterns in the variations of price and expenditure elasticities as a function of GNP per head. In particular, Food's own-price and expenditure elasticities are estimated to decline in absolute value as real GNP per head increases. Overall, own-price elasticities and cross-price elasticities with respect to food appear to account for about 80% of total price responsiveness in the fitted system.     

Business Demand for Broadband Access Capacity

Using data garnered from a quarterly survey of U.S. business establishments from 2Q2000 through 1Q2001, the study estimates an aggregate model of business demand for broadband access capacity. The primary goal is to estimate price elasticities for the demand for access capacity conditional on a business establishment having made the decision to adopt some form of broadband access. The primary findings are (1) on average, the demand for broadband access capacity is price inelastic; (2) the sensitivity to price differs substantially across establishments of different sizes with small establishments exhibiting the greatest sensitivity to price; and (3) the estimated elasticities have important implications for public policies designed to extend broadband networks to unserved areas.     

Demand for international telephone traffic in Spain: An econometric study using provincial panel data

In this study we model the demand for outgoing international telephone traffic in Spain. We make use of a standard theoretical framework that incorporates the special characteristics of this type of telephone service. Consequently, equations for real expenditure per line and for the number of international calls per line are estimated.We use annual data for the 50 Spanish provinces for the period 1985–1989, and employ appropriate panel data techniques. The selected equations (one for expenditure per line in international traffic and another for the number of international calls per line) pass a battery of diagnostics. We conclude that this type of traffic, whether measured by expenditure per line or by the number of international calls per line, presents both high income and price elasticities. Moreover we find that price and income affect both the number of calls and their average duration.Likewise, we find a significant increase in social welfare when a tariff rebalancing that maintains the profit of the operating company is carried out.     

Meat and fish consumption patterns in Saudi Arabia

This study analyses the demand for meat (beef, chicken and lamb) and fish in Saudi Arabia in a system-wide framework using data for the period 1985–2010. A preliminary data analysis reveals that, in Saudi Arabia, the relative consumption of beef, chicken and fish has a positive growth, while lamb has a negative growth. The average relative price growth rates of beef, chicken and fish are negative, while that of lamb is positive. The expenditure shares of beef, chicken and fish have increased while that of lamb has fallen. The estimation results of the demand system reveal that there is an autonomous trend out of lamb into beef, chicken and fish. The implied income elasticities indicate that beef, lamb and fish are considered to be luxuries, while chicken is a necessity. The demand for all meat products and fish are price inelastic. These elasticities are key inputs for policy analysts in terms of devising policies in relation to meat production, meat imports, taxation and food security issues in Saudi Arabia. The usefulness of the implied elasticities is demonstrated by simulating the consumption of beef, chicken, lamb and fish under various policy scenarios.     

The demand for imports: Estimates of bilateral trade flows

This paper provides estimates, using a traditional import demand model, of the demand for imports on a bilateral basis among nine industrialized nations. These estimates provide greater detail about price and income elasticities, but in general are consistent with earlier, aggregate import demand studies with respect to conclusions about the effects of secular and cyclical income changes on trade balances and whether sufficiently high price elasticities are present to insure that the Marshall-Lerner stability condition is met.     

Income and price elasticities of electricity demand in Australia: Evidence of state‐specific heterogeneity

This paper estimates country‐wide and state‐level income and price elasticities of electricity demand in Australia for the period 1999Q1–2013Q2 using the National Electricity Market data and the autoregressive‐distributed lag model. The results suggest that the long‐run income and price elasticities are inelastic and are statistically significant with theoretically consistent signs. The country‐wide income and price elasticities are estimated to be 0.41 and ?0.38, respectively. It is also found that there exists state‐specific heterogeneity in both speed and magnitude of the electricity consumption adjustment in response to changes in income and electricity price. These results have important policy implications, including the need to use state‐specific elasticities in the scenario analysis of the energy pricing policy.     

Estimation of an implied price elasticity of demand through current pricing practices

Researchers have long pursued better methods to estimate price elasticity of market-level demand. Due to a plethora of empirical problems, the estimates produced in many empirical studies leave researchers with wide confidence intervals that do little to clarify demand conditions. As a result, these estimates are of limited practical use to the firm facing a firm-level demand. Here, a non-statistical methodology based on seller optimization behaviour is applied that creates an ‘implied elasticity’ of firm-level demand that is robust, intuitively plausible and free of oppressive data requirements. These elasticities are tested in an applied setting against pricing managers’ surveyed estimates for customer price sensitivity for freight rail transportation services and it is found that the estimate is consistent with their pricing behaviour. This methodology is recommended for creating a simple, plausible starting point estimate for firm-level price elasticities, or using this calculation as an input to statistical studies.     

Residential Water Demand in the Northwest of Spain

A panel of monthly aggregate data from the Northwest of Spain is used to estimate domestic water demand functions under linear and non-linear tariffs. Price, billing, climatic, and sociodemographic variables are used as explanatory variables. The use of intraannual data constitutes a relevant contribution in the European context. Overall marginal price elasticity estimates lie between –0.12 and –0.17. Summer-only elasticities and elasticities associated with uses beyond the effectively free allowances seem significantly higher. Climatic variables significantly affect monthly use, although probably less than in other wealthier and drier areas. Domestic water use appears to be a normal good.     

A variance equality test of the ICAPM on Philippine stocks: post-Asian financial crisis period

Analysis of the data generated from various residential time-of-day electricity pricing projects often involves estimation of a system of demand equations. Both ad hoc demand models and neoclassical demand models have been estimated, often resulting in considerably different estimates of price elasticities. In this paper, elasticity estimates are presented from each type of demand model using data from the Arizona and North Carolina rate demonstration projects. The relationship between the elasticities generated from ad hoc models and separable neoclassical models is explored and the divergent price elasticity estimates are reconciled.     

Automobile demand,model cycle and age effects

This paper is aimed at exploring the existence of typical patterns of automobile model life and the formal test for age effects in a discrete-choice demand framework estimated with data on the models sold in the Spanish market. Estimates show that the evolution of market shares entails and quantifies age effects resulting from consumer demand. These effects are clearly distinguishable from the impacts generated by changes in attributes and firm pricing. They carry an exogenous factor that is full of implications for firm behaviour over the life of a model: the modification of demand price sensitivities. As a result, for example, equilibrium own-price elasticities are observed to decrease until the fourth year of a model life, and then to increase again.      

Adjustment costs and threshold effects in factor demand relationships

It has been recently argued that producers may not respond to every input price change in the way that a linear factor demand model would predict. This lumpy response is due to adjustment costs that are inherent in the act of adjusting the mix of inputs applied in the underlying production technologies. This study aims to provide a solid conceptual framework for these nonlinearities in factor demand relationships. Industry-specific implications of convex and non-convex adjustment costs for the linearity of the factor demand relationships as well as price and substitution elasticities are explored. A two-regime threshold system of factor demand equations is estimated for several manufacturing industries in the United States. Empirical results suggest significant threshold effects in the factor demand relationships in most nondurable goods sectors. The size and the nature of thresholds depend upon industry characteristics, including input composition and (non)convexity of underlying adjustment costs. Complete matrices of price and substitution elasticities for each industry are derived using estimates of threshold factor demand systems. Discussion of two contrasting cases in greater detail sheds light on how the effect of price shocks on factor demand relationships varies across industries with different adjustment cost structures.     

Kalman filter and the demand for cigarettes

kalman filter estimates of price, income and advertising elasticities are presented. An analysis of structural change in the demand for cigarettes in the US for the period 1929–86 is made. Estimated price and income elasticities are generally smaller, and the advertising elasticity larger, than estimates previously found. Cigarette demand is inelastic with respect to price and income, and advertising elasticity is statistically insignificant for the most part. Furthermore, both income and price elasticities decline over time while advertising elasticity tends to rise. Four time periods where structural change has occurred are identified. The health scare reports and the Fairness Doctrine Act have a significant impact on per capita cigarette consumption.     

Demand system estimation in the absence of price data: an application of Stone-Lewbel price indices

This article evaluates the feasibility of estimating a system of demand equations in the absence of price information using the approach developed by Lewbel (1989). Stone-Lewbel (SL) price indices for commodity groups are constructed using information on the budget shares and the Consumer Price Indices (CPIs) of the goods comprising the commodity groups, which allows for household-level prices to be recovered. This study evaluates how susceptible are elasticities and marginal effects estimates from traditional parametric demand systems to the CPI used in the construction of the SL prices. To do this, three alternative regional CPIs are considered for the construction of the SL prices: monthly, quarterly and a constant (unity) price index. Elasticities and marginal effect estimates are computed for eight food commodity groups using the Exact Affine Stone Index (EASI) model as the parametric demand system and data from the United States Consumer Expenditure Survey. The estimates proved to be robust to the alternative regional CPIs considered in the construction of SL price indices, even to the absence of one. Hence, the results suggest that it is possible to accurately estimate a demand system even in the absence of price information.