Domestic technology,consumption economies of scale and poverty: evidence from Sri Lanka

While it is well known that new technologies enhance consumer welfare, the manner in which these technologies impact the ability to realize economies of scale in consumption is not well understood. We use Sri Lankan household data to examine how the adoption of new technologies by households positively impacts their ability to achieve household economies of scale. This suggests that new technologies not only deliver a greater variety of consumption goods to consumers, but they may also play an important role in enabling large households to escape poverty by lowering the per-capita costs of maintaining a given standard of living. Given the importance of consumption economies of scale in the measurement of poverty, this study provides some insights on the extent to which the number of poor households changes when food consumption scale economies due to technology adoption in the domestic sphere are incorporated.     

MEASURING INEQUALITIES: DO HOUSEHOLD SURVEYS PAINT A REALISTIC PICTURE?

The paper addresses the issue of the accuracy of standard‐of‐living measurements using household survey data. First, it highlights the fact that lighter data collection processes in some developing countries have added to measurement errors in consumption and income aggregates measurement errors. The paper reasserts the need to apply reference guidelines to the measurement of household consumption in order to compute comparable distribution indicators across countries and over time. Second, it contends that it is hard to analyze inequality solely from consumption patterns without taking income and savings into account. Two solutions are proposed for the correction of income measurement errors: by using savings declarations and by implementing a multiple imputation procedure. The results are based on a careful analysis of the EPM93 survey of Madagascar whose design is quite close to the LSMS household surveys, and the ENV98 survey of Côte d'Ivoire representative of surveys conducted nowadays in most Sub‐Saharan African countries.     

Oil consumption and economic efficiency: A comparative analysis of advanced, developing and emerging economies

This paper investigates the economic efficiency-oil consumption relationship in 42 countries during the period 1986-2006. In a first stage by using DEA window analysis countries' economic efficiencies are obtained. In a second stage an econometric analysis based on robust GMM estimators reveals an inverted ‘U’-shape relationship between oil consumption and economic efficiency. In order to capture heterogeneities among countries' development stages the analysis has been separated into two groups (advanced economies and developing/emerging economies). The results show that advanced economies have much higher turning points compared to emerging and developing economies. It appears that oil consumption increases countries' economic efficiency. In addition the consumption patterns of oil products and its derivatives have changed through years and among countries. The different turning points from the econometric analysis indicate the dependence of oil consumption in advanced economies (higher turning points) is driven mainly by household purchasing activities and their standards of living (transport, housing and water, food, etc.). Finally, it appears that oil consumption is the main driver behind the progress of industrialization and urbanization regardless of the country's development stage.     

Properties of Equivalence Scales in Different Countries

Recent studies in industrialized countries have shown that equivalence scales are income-dependent. We investigate whether this dependence also holds in poorer, services oriented countries, by considering the case of Cyprus. We also examine whether household economies of scale and relative children costs differ from those found for industrialized countries.     

Economies of scale and gender discrimination in transition: the case of the Republic of Tajikistan

This article tests for economies of scale and for evidence of discrimination based on gender lines in intra-household consumption allocations using data from the Living Standards Survey in the Republic of Tajikistan (TLSS). Overall results support the existence of household economies of scale in Tajikistan; however, empirical evidence supporting boy–girl discrimination is limited despite anecdotal evidence otherwise.     

ECONOMIES OF SCALE IN HOUSEHOLD CONSUMPTION: WITH APPLICATION TO AUSTRALIA*

This paper presents a general framework for defining the economies of scale in household consumption. It allows commodity specific economies of scale (taking into account the substitution effects). The chief contribution of the paper is to show how one can estimate economies of scale from cross section budget data without price information. The problem of identification that is inherent in these models is overcome by making use of some assumptions about the nature of goods and services employed in the estimation. The methodology developed in the paper is applied to Australian Household Expenditure Survey for 1984 to calculate item wise and overall economies of scale.     

Stochastic convergence in per capita energy consumption and its catch-up rate: evidence from 26 African countries

Using annual data from 1971 to 2014, we examine stochastic conditional convergence in per capita energy consumption for 26 low income, lower middle-income and upper-middle-income African countries. To do so, we use panel unit root tests that allow for cross-sectional dependence and structural breaks as well as the recently developed univariate Residual Augmented Least Squares-Lagrange multiplier (RALS-LM) unit root test with structural breaks. Although for most countries our evidence suggests stochastic conditional convergence, we find divergence for four countries including DR Congo, Senegal, Egypt and Botswana. Consistent with the neoclassical growth models we also examine the catch-up rate between energy consumption levels of African economies and that one of China and investigate its convergence properties. As African economies continue to grow, regional energy consumption disparity narrows, African energy consumption levels will catch up to the ones in China.     

Income Distribution,Household Debt and Growth in Modern Financialized Economies

Abstract:

We analyze some core features of the institutional transformation of the Canadian and U.S. economies over the last half century, as they became increasingly financialized economies resting on household consumption as the key contributor to economic growth, despite weak growth in real wages and personal disposable income. This growth in consumption spending is highly fragile not only because it is a debt-led growth that has relied on an unsustainable expansion of household indebtedness largely dependent on credit bubbles in the housing market, but also because of the perverse form of this indebtedness. Studied from the angle of disaggregated household consumption/saving behavior, it is the poorest and most vulnerable households who have been building up unsustainable debt, thereby presaging increasing financial fragility and crises.     

HOW TO MEASURE LIVING STANDARDS AND PRODUCTIVITY

I set out a general algorithm for calculating true cost‐of‐living indices when demand is not homothetic and when the number of products may be large. The non‐homothetic case is the important one empirically (Engel's Law). The algorithm can be applied in both time series and cross section. It can also be used to estimate true producer price indices and Total Factor Productivity in the presence of input‐biased economies of scale and technical change. The basic idea is to calculate a chain index of prices but with actual budget (cost) shares replaced by compensated shares, i.e. what the shares would have been if consumers (firms) faced actual prices but their utility (output) were held constant at some reference level. The compensated shares can be derived econometrically from the same data as are required for the construction of conventional index numbers. The algorithm is illustrated by applying it to estimating true PPPs for 141 countries and 100 products within household consumption, using data from the World Bank's latest International Comparison Program.     

Changes in household composition as a shock-mitigating strategy

This paper uses data from the Russian Longitudinal Survey that span the two recent economic recessions of 1998 and 2008 to study the effect of declining incomes on household composition. We hypothesize that individuals face a trade-off between taking advantage of economies of scale and specialization when living with others, and individual privacy. Consumption smoothing is achieved by forgoing privacy during the crisis and results in increases in household size. Our empirical results suggest that members of households that experienced negative income shocks are more likely to move in with others compared to individuals residing in households whose income remained the same or increased.     

ON THE LIVING ARRANGEMENTS OF ELDERLY WIDOWS*

Between 1970 and 1990, the share of elderly widows living alone grew by 23.2% in the United States, whereas those living with their children decreased by a similar amount. We pose a variety of models for determining the living arrangements in which living together increases consumption because of economies of scale and may also provide utility directly. We estimate these models using the 1970 data and obtain an excellent fit. The estimated models predict that changes in the incomes of both the widow and her offspring generate three‐quarters of the increase in the number of widows living alone.     

Economic well-being and poverty among the elderly: An analysis based on a collective consumption model

We apply the collective consumption model of Browning et al. (2010) to analyse economic well-being and poverty among the elderly. The model focuses on individual preferences, a consumption technology that captures the economies of scale of living in a couple, and a sharing rule that governs the intra-household allocation of resources. The model is applied to a time series of Dutch consumption expenditure surveys. Our empirical results indicate substantial economies of scale and a wife's share that is increasing in total expenditures. We further calculated two sets of poverty rates: one based on the collective consumption model and one based on the traditional approach with a standard equivalence scale. Poverty among widowers is underestimated by the traditional approach. The same is true for women (men) in elderly couples for the first (later) time periods in our analysis. Finally, we analysed the impact of becoming a widow(er). Based on cross-sectional evidence, we find that the drop in material well-being following the husband's death is rather substantial for women. For men, the picture is reversed.     

Testing Prediction Performance of Poverty Models: Empirical Evidence from Uganda

This paper examines the performance of a method of predicting poverty rates. Because most developing countries cannot justify the expense of frequent household budget surveys, additional low‐cost methods have been developed and used. The prediction method is based on a model linking the proportion of poor households to suitable explanatory variables (consumption proxies). These consumption proxies are variables that can be collected at much lower cost through smaller annual surveys. Several applications have shown that such models can produce poverty estimates with confidence intervals of a similar magnitude to the poverty estimates from the household budget surveys. There is, however, limited evidence of how well the methods perform out‐of‐sample. A series of seven household budget surveys conducted in Uganda in the period 1993–2005 allows us to test the prediction performance of the model. We test the poverty models by using data from one survey to predict the proportion of poor households in other surveys, and vice versa. The results are encouraging, as all models predict similar poverty trends. Although in most cases the predictions are precise, sometimes they differ significantly from the poverty level estimated from the survey directly.     

Trade, regulations, and income

We examine the relationship between openness and per-capita income using cross-country data from 126 countries. We find that trade leads to a higher standard of living in flexible economies, but not in rigid economies. Business regulation, especially on firm entry, is more important than financial development, higher education, or rule of law as a complementary policy to trade liberalization. Specifically, after controlling for the standard determinants of per-capita income, our results imply that a 1% increase in trade is associated with more than a one-half percent rise in per-capita income in economies that facilitate firm entry, but has no positive income effects in more rigid economies. The findings are consistent with Schumpeterian “creative destruction”, which highlights the importance of new business entry in economic performance, and with previous firm-level studies showing that the beneficial effects of trade liberalization come largely from an intra-sectoral reallocation of resources.     

A Comparison of Income and Expenditure Inequality Estimates: The Australian Evidence, 1975–76 to 1993–94

Using Australian unit record data this paper compares income and expenditure inequalities over the period 1975–76 to 1993–94. The study finds inconsistencies between the two inequality movements over much of this period. We also observe differences in the nature of income and consumption disparities. Both approaches show that the 'within group' inequality dominates the 'between group' component when the population is divided into household types. The inequality estimates are sensitive to the equivalence scale used as the household size deflator but not to the cost of living index used as the price deflator.     

A large scale OLG model for the analysis of the redistributive effects of policy reforms

The paper presents a large scale overlapping generation model with heterogeneous agents, where the household is the decision unit. We calibrate the model for three European countries – France, Italy and Sweden – which show marked differences in the design of some public programmes. We examine the properties in terms of annual and life cycle redistribution of a number of tax-benefit programmes, by studying the impact of removing from our model economies some or all of them. We find that whether one considers a life cycle or an annual horizon, and whether behavioural responses are accounted for or not, has a large impact on the results. The model may provide useful insights for policy makers on which kind of reforms are more likely to achieve specific equity objectives.     

Economic growth and the demand for education: is there a wealth effect?

Human capital investment in developing countries is thought to be significantly constrained by household resources. This paper studies the relationship between household resources and the demand for education using recent household survey data from Vietnam. The data cover a period, 1993–1998, of exceptional income growth in Vietnam, during which secondary school enrollment rose substantially. Using consumption expenditures to measure household wealth, we find a positive and significant relationship between changes in wealth and changes in the demand for education. This wealth effect persists even after controlling for locality-specific factors such as changes in education returns and the supply and quality of schools, and for the opportunity costs of schooling.     

Attrition and Follow‐Up Rules in Panel Surveys: Insights from a Tracking Experience in Madagascar

Most longitudinal surveys recontact households only if they are still living in the same dwelling, producing very high attrition rates, especially in developing countries where rural–urban migration is prevalent. In this paper, we discuss the implications of the various follow‐up rules used in longitudinal surveys in the light of an original tracking survey from Madagascar. This survey attempted in 2005 to search and interview all individuals who were living in the village of Bepako in 1995, the baseline year of a yearly survey, the Rural Observatories. The tracking survey yielded an individual recontact rate of 78.8 percent, more than halving attrition compared to a standard dwelling‐based follow‐up rule. The tracking reveals a very high rate of out‐migration (38.8 percent) and household break‐ups, as three‐quarters of recontacted households had divided between 1995 and 2005. The average income growth of the sample over the period increases by 28 percentage points when follow‐up is extended to those who moved out of their household or village, suggesting that dwelling‐based panels give a partial view of the welfare dynamics of the baseline sample. A higher baseline income per capita is associated with a higher probability of staying in Bepako and of being found in the tracking if one moved out. The hardest people to find are the poorest and most isolated. Special attention should be paid to collecting data that enable the identification and follow‐up of individuals, without which attrition is likely to remain a source of bias even after a tracking procedure is carried out.     

Internet use and consumption diversity: Evidence from rural China

The Internet is integral to modern living. While the Internet is ubiquitous in China's urban areas, its uptake is still lagging in the country's rural regions—the development potential of the Internet remains untapped, and despite China's steep economic growth during the 21st century, the living standards in its rural regions remain low. The Internet can accelerate rural development in China. This study is focused on analyzing whether and to what extent Internet use affects consumption diversity, an indicator of the quality of life, in rural China. To this end, we employ the instrumental-variable-based two-stage endogenous treatment regression model to analyze the 2018 China Family Panel Studies survey data. The modeling approach allows us to account for the endogeneity of Internet use. The results show that consumption diversity is positively associated with Internet use. Furthermore, it rises with household income, household size, and wealth. Whether the Internet is accessed via smartphones or computers has no bearing on household consumption diversity. We also find that education, household income, and wealth increase one's predicted probability of using the Internet. The results also point to regional differences in consumption diversity and the likelihood of using the Internet.     

家庭异质性视角下城乡居民家庭碳排放研究——以陕西为例

为把握城乡居民各种口径碳排放的变动趋势,借鉴IPCC推荐方法及投入产出分析方法,分别测算2005—2017年陕西省居民家庭各种口径的碳排放量,发现陕西城镇家庭各口径碳排放量均高于农村家庭;为分析引起城乡居民家庭直接和间接碳排放总量变动的深层原因,借鉴对数平均迪氏指数分解(LMDI)模型,发现家庭人均收入、家庭户数效应、家庭规模效应、能源消费结构、能源消费强度、家庭消费率、家庭消费结构等表征家庭异质性的变量对城乡家庭直接及间接碳排放总量有不同程度的正向驱动或负向驱动效应,并根据研究结论对地方政府控制家庭碳排放量提出政策建议。