Effects of Changes in Household Size,Consumer Taste & Preferences on Demand Pattern in India

Current research in applied demand analysis has been addressing the twin issues of degree of non-linearity or curvature of the Engel curves and the ability to capture price effects appropriately by the demand system. Further, in addition to income and prices, the role of demographic variables like household size, composition and dynamic aspects like consumer taste & preferences are also being ’ emphasized in recent literature. Continuous efforts are being made to modify the existing models and propose new ones to incorporate the above developments. The purpose of this study is to re-examine the usefulness of the popular linear expenditure system vis-à-vis the two other flexible models viz. Nasse expenditure system, a generalization of the linear expenditure system itself, and the almost ideal demand system in the above context for India.The empirical results indicate wide variation in marginal budget shares and demand elasticities across income groups, rural-urban sectors and alternative models. The household size and consumer taste & preferences are found to be statistically significant. The results confirm the earlier findings that there are significant changes in consumer tastes away from cereals and pulses in favor of other food and nonfood commodities. The results also show that flexible models, which are theoretically superior, gave unacceptable positive price responses for some commodities and violated second order conditions of utility maximization. It is found that some ad-hoc separability restrictions are needed, thereby limiting the flexibility of the model, to get negative own-price responses in these models. But, second order conditions are still violated. The tests of nested hypotheses also confirm the need for inclusion of household size, consumer taste, income group and rural-urban dummies along with their interaction variables in the demand system.

     

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.     

The Impact of the German Child Benefit on Household Expenditures and Consumption

The German Child Benefit (‘Kindergeld’) is paid to legal guardians of children as a cash benefit. The benefit does not depend on household income or other household characteristics. I use exogenous variations in the amount of child benefit received by households in the German Socio‐Economic Panel to estimate the impact of a given change in the child benefit on food expenditures of households, the probability of owning a home, rent per square meter, measures of the size of the home, as well as parents’ smoking behavior and parents’ alcohol consumption. Households primarily increase per capita food expenditures in response to increases in child benefit, and they also improve housing conditions. The effect of child benefit on per capita food expenditures is larger for low‐income households compared to high‐income households. I do not find a significant effect of child benefit on parents’ smoking or drinking.     

THE STRUCTURE OF HOUSEHOLD SPENDING IN SOUTH AMERICAN CITIES: INDEXES OF DISSIMILARITY AND CAUSES OF INTER-CITY DIFFERENCES

Household budget data collected in 1966–1971 in eleven cities in six South American countries are used to define individual mean budget structures (means of budget shares across households). These structures are then compared by indexes of dissimilarity, calculated for the entire budget and also for major components: food, animal protein foods, nonfood, and housing and clothing. Differences among cities in real income account for much of the difference in the share of the consumer budget devoted to food, which in turn is a principal source of overall budget dissimilarity. Within the food and nonfood budgets separately, income is of somewhat less importance; prices and preferences become more significant. Budget structures tend for this reason to be similar for cities in the same country. The structure of nonfood spending also varies markedly between coastal and interior cities, largely because of differences in housing costs. The available price data account for dissimilarities which depend on the price of a single large category of spending, but they do not help explain structural differences involving many categories: prices seem more important for nonfood than for food expenditures. Regression analysis is used to weigh the importance of each variable contributing to dissimilarity.     

State lotteries and consumer behavior

This paper investigates two central issues regarding state lotteries. First, analyses of multiple sources of micro-level data demonstrate that household lottery spending is financed primarily by a reduction in non-gambling expenditures, not by a reduction in expenditures on other forms of gambling. The introduction of a state lottery is associated with an average decline of $46 per month, or 2.4 percent, in household non-gambling expenditures. Low-income households reduce non-gambling household expenditures by 2.5 percent on average, 3.1 percent when the state lottery includes instant games. These households experience statistically significant declines in expenditures on food and on rent, mortgage, and other bills. Second, consumer demand for lottery products responds positively to the expected value of the gamble, controlling for other statistical moments and product characteristics, including the nominal top prize amount. This finding is consistent with informed choice among consumers of lottery products, although other forms of irrational or misinformed choice cannot be ruled out.     

Economies of scale and scope in petroleum refining

Despite evidence that aggregate consumption of complex carbohydrates has risen over the last decade, food consumption surveys suggest that fewer households are consuming less bread, pasta rice, potatoes and corn. This paper estimates systems of complex carbohydrae demand using cross-sectional data from 1977–78 and 1987–88 in order to explain this paradox. Changes in demand that are not explained by changes in prices or income are explained by variations in taste. Because tastes cannot be directly observed, the paper uses a multiple indicator and multiple cause (MIMIC) model to construct a suitable proxy variable. In the MIMIC approach, the ‘indicators’ are residuals from a household demand function that includes prices and incomes as explanatory variables, while household and demograhic proxies are ‘cause’ variables. The objectives in applying the MIMIC model are to determine the effect of consumer tastes on complex carbohydrate demand and, comparing cross-sectional survey data from two different periods, test the hypothesis that these tastes change over time. The data consist of US complex carbohydrate prices and expenditures, taken from the USDA Household Food Consumption Surveys in 1977–78 and 1987–88. The results show that structural changes in demand, or those that are not explained by changes in price, income, or the cause variables, led to an increase in complex carbohydrate demand of 5% from 1977–78 to 1987–88. However, changes in demand explained by the cause variables cause demand to fall by 9%.     

Fiscal policy simulations – a comparison of UK models

The problem of endowing large applied general equilibrium models with numerical values for parameters is formidable. For example, a complete set of own- and cross-price elasticities of demands for the MONASH model of the Australianeconomy involves in excess of 50000 items. Invoking the minimal assumptions that demand is generated by utility maximization reduces the load to about 26000 - obviously still a number much too large for unrestrained econometric estimation. To obtain demand systems estimates for a dozen or so generic commodities at a top level of aggregation (categories like ‘food’, ‘clothing and footwear’, etc.), typically Johansen's lead has been followed, and directly additive preferences imposed upon the underlying utility function. With the move beyond one-step linearized solutions of applied general equilibrium models, the functional form of the demand system adopted becomes an issue. The most celebrated of the additive-preference demand systems, the linear expenditure system (LES), has one drawback for empirical work; namely, the constancy of marginal budget shares (MBSs) - a liability shared with the Rotterdam system. To get around this, Theil and Clements used Holbrook Working's Engel specification in conjunction with additive preferences; unfortunately both Working's formulation and Deaton and Muellbauer's AIDS have the problem that, under large changes in real incomes, budget shares can stray outside the [0, 1] interval. It was such behaviour that led Cooper and McLaren to devise systems with better regularity properties. These systems, however, are not globally compatible with any additive preference system. In this paper we specify, and estimate, at the six-commodity level, an implicitly directly additive-preference demand system which allows MBSs to vary as a function of total real expenditure and which is globally regular throughout that part of the the price-expenditure space in which the consumer is at least affluent enough to meet subsistence requirements.     

Optimal tax perturbations

The paper considers an economy with H households, N+1 commodities and M fixed factors with commodity taxes and government expenditures on goods and services. The paper studies under what conditions (small) Pareto improving tax changes exist, i.e., tax changes which increase the utility of each household in the economy. The basic analytical technique used is just the usual comparative statics apparatus, except that duality theory is used in order to simplify the computations. The paper derives both the changes in prices and in real incomes that are induced by (small) changes in exogenous tax variables (differential real income balanced budget incidence analysis).     

Consumption patterns in Sri Lanka: a decomposition analysis

Knowing consumer reaction to changes in prices and income is important in formulating microeconomic policies, such as public utility prices and commodity taxation. This paper analyses the consumption patterns of consumer goods grouped into eight broad commodities in Sri Lanka during the period 1975–2016, using a system-wide framework. The analysis indicates that Sri Lankan consumers allocate more than half of their income to food and nearly four fifths of their income to food, housing, and transport combined. The estimated income and own-price elasticities reveal that food, housing, medical care, and transport are necessities; clothing, durables and recreation are luxuries; and demand for all commodities is price inelastic except for recreation. To investigate the consumption growth pattern, we decomposed the growth in consumption and change in budget shares of the eight commodities into income, relative price, and change in taste. We also simulated per capita consumption expenditure of the eight commodities under various policy scenarios and found that income growth has played a significant role in Sri Lankan consumption patterns.     

A demand system for input factors when there are technological changes in production

In a system with n input factors there are n − 1 independent cost shares. An often-used approach in estimating factor demand systems is to (implicitly or explicitly) assume that there is a (independent) cointegrating relationship for each of the n − 1 independent cost shares. However, due to technological changes, there might not be as many cointegrating relationships as there are (independent) cost shares. This article presents a flexible demand system that allows for both factor neutral technological changes as well as technological changes that affect the relative use of the different factors. The empirical tests indicate that there are fewer cointegrating relationships than usually implied using conventional estimation approaches. This result is consistent with technological changes that affect the relative use of the different input factors. I argue that, since such unexplained technological changes are likely to affect input factor decisions, a demand system that allows for such changes should be preferred.     

Lottery expenditures in Canada: a regional analysis of determinants and incidence

This article examines two issues; first, it evaluates the statistical significance of a number of socio-economic and demographic variables on the level of household lottery expenditures in the six regions of Canada. While some household characteristics vary in the extent to which they significantly affect the level of lottery expenditures across regions (wealth, age, occupation, mother tongue and urban location, for example), others are significant in every region. Regional consistency exists in the statistical significance of after tax household income, sex and education of the head of household – lottery expenditures increase as incomes increase; lottery expenditures are significantly lower for female heads of households than for their male counterparts; lottery expenditures decline as the education level of the head of household increases. Second, lottery expenditures are found to be regressive, although the degree of regressivity is less than for lotteries in the United States.     

Estimating direct and indirect rebound effects for U.S. households with input–output analysis Part 1: Theoretical framework

This is the first part of a two-part paper providing an analytical model of the indirect rebound effect, given a direct rebound estimate, that integrates consumer demand theory with the embodied energy of household spending from environmentally-extended input–output analysis. The second part applies the model developed in part one to simulate the direct and indirect rebound for the average U.S. household in terms of primary energy, CO₂e, NO_x, and SO₂ emissions and for energy efficiency investments in electricity, natural gas, or gasoline services. Part one provides a critical review of the largely independent economic and industrial ecology literatures on the indirect rebound. By studying the two-goods case and the n-goods case, we demonstrate that the indirect rebound is bounded by the consumer budget constraint, and inversely related to the direct rebound. We also compare the common proportional spending and income elasticity spending assumptions with our model of cross-price elasticities including both substitution and income effects for the indirect rebound. By assuming zero incremental capital costs and the same embodied energy as conventional technologies for efficient appliances, we model an upper bound of the indirect rebound. Future work should also consider the increase in consumer welfare possible through the rebound effect.     

Demographic versus expenditure flexibility in Engel curves

We consider the effects of demographic and expenditure variables on consumer demand in a system of Engel curves using a smooth coefficient semiparametric model where the expenditure effects on the budget shares vary nonparametrically with demographic variables such as the age of head and number of children in the household. Our findings, based on UK micro data, suggest that with a smooth coefficient semiparametric model there is no need for nonlinear logarithmic expenditure effects in the budget shares. Furthermore, we find evidence of a trade-off between demographic and expenditure effects in Engel curves and that a rank-2 system of Engel curves where the logarithmic expenditure effects are allowed to vary with demographic characteristics either nonparametrically or as a third degree polynomial function cannot be rejected against a rank-3 (quadratic logarithmic) model. The implications on household behavior and welfare are also examined. We would like to thank an anonymous referee and Baldev Raj, the editor, for useful comments and suggestions. We would also like to thank the University of Cyprus for financial support, Theofanis Mamuneas for stimulating discussions and the Office of National Statistics for making available the UK Family Expenditure Survey data through the ESRC Data Archive. The last author would also like to acknowledge the financial support from SSHRC of Canada.     

Monitoring and forecasting annual public deficit every month: the case of France

In this paper we forecast annual budget deficits using monthly information. Using French monthly data on central government revenues and expenditures, the method we propose consists of: (1) estimating monthly ARIMA models for all items of central government revenues and expenditures; (2) inferring the annual ARIMA models from the monthly models; (3) using the inferred annual ARIMA models to perform one-step-ahead forecasts for each item; (4) compounding the annual forecasts of all revenues and expenditures to obtain an annual budget deficit forecast. The major empirical benefit of this technique is that as soon as new monthly data become available, annual deficit forecasts are updated. This allows us to detect in advance possible slippages in central government finances. For years 2002–2004, forecasts obtained following the proposed approach are compared with a benchmark method and with official predictions published by the French government. An evaluation of their relative performance is provided.      

Expenditure behavior and children's welfare: an analysis of female headed households in Jamaica

This paper presents an analysis on the expenditure behavior and children's welfare among female-headed households in Jamaica. Included in the examination of household composition are the demographic effects, endogeneity of total expenditure, the headship variable and the endogeneity of family structure. Using the 1989 Jamaican Survey of Living Conditions (SLC), expenditure estimation on over 100 goods for 3500 household was examined. This study utilized the Ordinary Least Square estimates, 2 SLC and endogeneity tests, and partnered and unpartnered household heads. Results for the demand for preventive health care were significant among older children in female-headed households, with a 4% increase in the probability of a check-up across all ages. This study presents a partial explanation of lower morbidity rates in female-headed households despite lower budget and total per capita expenditure levels. In conclusion, this study confirms the significant influence of sex and union status of the household head on household expenditure behaviors with implications for individual household members, with more positive outcomes among children despite differences in budget allocation and lower health expenditures.     

Fear itself: How risk sensitive firms can give demand shocks bite

Many economists believe that recessions arise when aggregate demand is insufficient to support full employment. However, replicating this intuition within a real business cycle (RBC) model has proven surprisingly challenging. Rather than eliciting a contraction, lower consumer demand leads to greater household savings in many such models, fueling new investment and causing the economy to expand. The present paper proposes a novel way to resolve this apparent paradox: risk-averse firms. In the model to follow, cautious firms reduce their demand for investment prior to a recession. This contraction in the demand for capital overcomes the increased supply arising from consumer savings and restores intuitive business cycle behavior. In particular, the paper demonstrates that the model economy contracts when subjected to an uncertainty shock in consumer demand, mimicking a pre-recessionary environment in which firms, fearing a lack of orders, precipitate the downturn by reducing capital expenditures. These results are consistent with microeconomic evidence that uncertainty, particularly uncertainty about future demand, is the primary reason for firms shedding workers or scaling down operations in advance of an economic downturn. More generally, they imply that firm's attitudes towards risk shouldn't be ignored in modern macroeconomic models.     

The Income, Savings, and Monetary Overhang of Soviet Households

The purpose of this paper is twofold. First, it reconstructs data on the income, expenditure, and savings of Soviet households during 1965–1989. Second, it estimates the magnitude of monetary overhang in the Soviet consumer market. The data reconstruction was made using unpublished archival material, i.e., Soviet family budget surveys. The magnitude of monetary overhang was estimated using the long-run solution and the VAR (vector autoregression) of the Soviet household savings function. The estimates suggest that the overhang amounted to 38% of household money balances in 1991 and that a 61% price adjustment would have been necessary to remove the monetary overhang of Soviet households at the time. J. Comp. Econom., December 1999, 27(4), pp. 644–668. University of Essex, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom.     

THE PECULIAR ECONOMICS OF HOUSING BUBBLES

Home values increase rapidly during housing bubbles generating large capital gains. High loan‐to‐value (LTV) mortgages secured by expected future home values are one way to take advantage of these capital gains. In this article, we use a simple partial equilibrium consumer theory model to explore the implications of high LTV borrowing. We find that sufficiently large expected house price growth leads to an upward‐sloping budget line when households can obtain high LTV mortgages. In this environment, the demand for housing fits neither the conventional theories of consumer goods nor that of investment goods. In fact, increases in the expected future price of housing may reduce current housing demand, whereas decreases in the effective (current) price may lead to households buying smaller homes. Moreover, high LTV loans reduce the effectiveness of monetary policy, but raise the volatility of aggregate demand. Tighter borrowing standards may help lower demand volatility at the expense of shrinking the economy. (JEL E21, R21, E52)     

Remittances and healthcare expenditure: Human capital investment or responses to shocks? Evidence from Peru

This paper estimates the effect of international remittances on healthcare expenditures, taking into account both the interdependence with other consumption goods and the effects of health shocks. More precisely, we assess whether the budget allocation decisions of remittance‐receiving households reveal different preferences to invest in health capital, even when the simultaneous effect that health shocks may have on the demand of remittances and on other types of nondurable expenditures is accounted for. Using data from the “Peruvian National Survey of Households,” we find that remittances have a positive impact on healthcare budget shares, net of the remittance‐related income effect and independently of the occurrance of a health shock. They also have a positive impact on housing and a negative one on other expenditure items, that is, clothing, transport, and education. Hence, our results indicate a “pure” tendency of remittance‐receiving households to devote larger shares of their budget to health capital investment, rather than to other types of consumption goods.     

The Distribution of Household Health Expenditures in Australia*

Out‐of‐pocket health expenditures in Australia are high in international comparisons and have been growing at a faster rate than most other health costs in recent years. This raises concerns about the extent to which out‐of‐pocket costs have constrained access to health services for low income households. Using data from the ABS Household Expenditure Survey 2003–2004, we model the relationships between health expenditure shares and equivalised total expenditure for categories of out‐of‐pocket health expenditures and analyse the extent of protection given by concession cards. To allow for flexibility in the relationship we adopt Yatchew's semi‐parametric estimation technique. This is the first detailed distributional analysis of household health expenditures in Australia. We find mixed evidence for the protection health concession cards give against high out‐of‐pocket health expenditures. Despite higher levels of subsidy, households with concession cards do not have lower out‐of‐pocket expenditures than non‐cardholder households except for the highest expenditure quintile. Cards provide most protection for GP out‐of‐pocket expenditures.