Risk insurance in a transition economy

The hypothesis of Pareto‐optimal risk‐sharing is tested in a transition economy using a new dataset of a representative sample of 364 rural households from Romania. Income shocks are identified as instances of adverse weather, crop failure, animal diseases, illness, and unemployment spells. Despite limited participation of Romanian rural households in formal insurance and credit markets, we fail to reject the hypothesis of full insurance of total non‐durable consumption and its components. Survey responses indicate that the main channels of consumption smoothing are self‐insurance (for adverse weather, crop failure and animal diseases), public transfers (for unemployment spells, maternity and childcare), and to a lesser extent, family ties. We find that adverse weather is associated with higher growth rates of non‐food expenditures. Furthermore, richer households are better able to cope with crop failure than poorer households. An alternative explanation to our not rejecting the hypothesis of full insurance is that some shocks to consumption (such as illness) play the role of preference shifters of the utility function.     

Consumption smoothing in Russia1

Using a panel from the Russian Longitudinal Monitoring Survey (1994–2004), this paper investigates to what extent Russian households have been able to maintain their living standards while suffering income shocks. Consumption smoothing is modelled by means of an equilibrium correction mechanism, which disentangles short‐run dynamics and long‐run equilibrium adjustments. GMM estimation is used to control for individual household effects in the presence of dynamics. Additionally, we differentiate between food and non‐food consumption, positive and negative shocks, rural and urban areas, and several levels of poverty risk. We find that dynamics are important in the consumption equation, and that estimates are sensitive to imputation errors in home food production. No strong claims can be made regarding heterogeneity in smoothing behaviour.     

When is market incompleteness irrelevant for the price of aggregate risk (and when is it not)?

In a standard incomplete markets model with a continuum of households that have constant relative risk aversion (CRRA) preferences, the absence of insurance markets for idiosyncratic labor income risk has no effect on the premium for aggregate risk if the distribution of idiosyncratic risk is independent of aggregate shocks and aggregate consumption growth is independent over time. In equilibrium, households only use the stock market to smooth consumption; the bond market is inoperative. Furthermore, the cross-sectional distributions of wealth and consumption are not affected by aggregate shocks. These results hold regardless of the persistence of idiosyncratic shocks, even when households face tight solvency constraints. A weaker irrelevance result survives when we allow for predictability in aggregate consumption growth.     

Risk coping and starvation in rural China

We use a 3-year panel from two poor provinces in Southern China to examine the nature of risks to which rural households are exposed and their ability to insure calorie consumption and spending of total consumption against idiosyncratic shocks to their income. We find that idiosyncratic risks are indeed the main source of income variation in the sample, consumption is better insured than total spending. Unlike total spending where full insurance is rejected in most cases, calorie intake is completely insured for both land-rich and land-poor households in both provinces. Access to even modest amounts of land significantly enhances households’ ability to guard against total spending. Land-rich households are much better insured against total spending than land-poor households. The results are robust across model specifications although Generalized Method of Moments (GMM) estimations increase the magnitude of difference in total spending between the land-rich and the land-poor. Policies targeting poverty reduction and improving land use rights and land access to the poor could potentially improve the overall risk sharing ability of the rural poor.     

MEASURING POVERTY USING BOTH INCOME AND WEALTH: A CROSS‐COUNTRY COMPARISON BETWEEN THE U.S. AND SPAIN

We study the correspondence between a household's income and its vulnerability to income shocks in two developed countries: the U.S. and Spain. Vulnerability is measured by the availability of wealth to smooth consumption in a multidimensional approach to poverty, which allows us to identify three groups of households: the twice‐poor group, which includes income‐poor households who lack an adequate stock of wealth; the group of protected‐poor households, which are all those income‐poor families with a buffer stock of wealth they can rely on; and the vulnerable‐non‐poor group, including households above the income‐poverty line that do not hold any stock of wealth. Interestingly, the risk of belonging to these groups changes over the life‐cycle in both countries while the size of the groups differs significantly between Spain and the U.S., although this result is quite sensitive to whether the housing wealth component is included in the wealth measure or not.     

Uncertainty,inequality and consumption preferences in urban China

In this paper we present an uncertainty–inequality–consumption model and empirically investigate the effect of uncertainty on the consumption behaviors of urban households with varying levels of socio-economic status in China. We observe that the condition of households that suffered from socio-economic inequality with respect to total consumption, educational expenditures, medical expenditures, and durable consumption worsened relative to other households when faced with income uncertainty. Income uncertainty did not affect the housing consumption of households that suffered from socio-economic inequality, but it substantially decreased their ability to consume other durables. As a result of the introduction of the modern enterprise system and the reform of the housing distribution system, households with a member employed in a management position suffer larger shocks of income uncertainty in total consumption, educational expenditures, medical expenditures, and housing consumption relative to household with all members employed in worker positions in 2002. Uncertainty with respect to medical and educational expenditures had more substantial effects on the non-durables consumption of low-income households than that of other households in 2002.     

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.     

Estimating Consumption Responses to Income Shocks of Different Persistence Using Self‐Reported Income Measures

Models of intertemporal consumption choice posit that consumption reacts more strongly to income shocks with persistent effects than to shocks with temporary effects. This prediction is tested using data from the Estonian Household Budget Surveys for 2002–07. Questions in the survey make it possible to distinguish between two income components of different persistence, using the individual households’ subjective income classification. Estimations confirm that households distinguish income components of different persistence and react to these differently; the consumption response to income shocks with persistent effects is significantly higher than the response to shocks with only temporary effects. Further analysis reveals, however, that consumption also reacts to lagged shocks to temporary income even when the households are not liquidity constrained, suggesting that their behavior is not fully consistent with the standard forward‐looking unconstrained consumption models.     

Optimal age‐dependent income taxation in a dynamic extensive model: The case for negative participation tax on young people

We consider optimal age‐dependent income taxation in a dynamic model where the labor‐leisure choice is the extensive margin, each household faces idiosyncratic shocks to labor productivity and a pecuniary cost to work, and there is no insurance market against the shocks. We show that the well‐known property of the optimal participation tax rate in the static model continues to hold in our dynamic economy, that is, the participation tax rates for some income groups with low consumption are likely negative. In dynamic models, the optimal participation tax rate depends on age and on labor income. Our numerical simulations suggest that a negative participation tax should be restricted to young households.     

Covariate and Idiosyncratic Shocks and Coping Strategies for Poor and Non-poor Rural Households in India

The objective of the paper is to track the association between different type of shocks experienced by rural households and corresponding coping strategies opted by them as they are, not only exposed to household-level and community level shocks, but also, lack effective risk management strategies which make them vulnerable to get into chronic poverty. A probit analysis has been used to articulate the comparative static distinction of risk management strategies between poor and non poor rural households using Additional Rural Incomes Survey/Rural Economic and Demographic Survey (ARIS/REDS) data surveyed by National Council of Applied Economic Research (NCAER) in rural India across 17 states to get a comparative static analysis. Households, generally, withdraw savings, seek remittances from migrant family members, take loan from formal and informal lenders and sell their existing assets and participate in Government sponsored welfare based programs to control after effect of shocks. Comparatively non-poor rural households could build up safety net (precautionary measure) to cope with price rise and other sudden shocks. But, extremely poor, generally, if don’t get help from relatives or can’t borrow from informal sources, ultimately starve at the time of sudden shocks. The welfare based government programs fail to arrest this extreme situation of grief during the idiosyncratic shocks.

     

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.     

IDIOSYNCRATIC AND AGGREGATE RISKS,INEQUALITY AND GROWTH

The paper disaggregates productivity shocks at a firm level into idiosyncratic and aggregate risks, and studies their impacts on inequality, growth and welfare. It develops a growth model with human capital and incomplete insurance and credit markets that provides a closed‐form solution for income inequality dynamics. We find that uninsured idiosyncratic risks are the most important determinants of inequality, growth and welfare. They are the source of nondegenerate wealth distribution. A lower weight of these shocks leads to lower steady‐state inequality, higher growth and welfare. A redistribution of income that serves as social insurance against such risks increases welfare and decreases inequality. But, it also decreases growth by distorting individual consumption and saving decisions.     

Intra- and international risk-sharing in the short run and the long run

We investigate empirically how industrialized countries and US states share consumption risk at horizons between 1 and 30 years. US federal states share about 50% of their permanent idiosyncratic risk through cross-state capital income flows. While insurance against transitory fluctuations in output is virtually complete, OECD countries do not share any of their permanent idiosyncratic risk. Our results suggest that purely transaction cost based theories cannot explain the home bias, since the potential welfare gains from insurance against permanent shocks would by far outweigh that of insuring against transitory variation. We conclude that permanent and transitory shocks constitute two qualitatively different kinds of risk and that various forms of endogenous market incompleteness may render permanent shocks a lot harder to insure, in particular at the international level.     

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.     

Consumption risk-sharing under terror shocks: Evidence from value-chain network rosters in Nigeria

Households in Nigeria live in inherently risky environments; accentuated by the preponderance of terror incidences, banditry, and farmer–herder-related clashes that are more concentrated in the northern than southern parts of the country. This study examines the proposition that households with a robust network roster—especially networks related to ethnicities and financial remittances from outside their communities—are better able to weather the idiosyncratic and aggregate impact of terror-related shocks; and thus, experience less consumption variability to terror-related shock than other similar households without the “insurance” of an external network. Our main empirical strategy applies a panel difference-in-differences specification to three waves of the LSMS-ISA surveys for Nigeria. The results from the study indicate that having external networks outside the community is an important coping mechanism for terror-related shocks, both for overall welfare and food consumption. The difference in consumption variability between groups with outside network “insurance” and those without could be as high as 20 percentage points. Thus, risk-sharing arrangements for households should exploit outside network insurance mechanisms to mitigate welfare losses from terror-related shocks.     

Social networks near and far: The role of bonding and bridging social capital for assets of the rural poor

With formal insurance and credit markets either absent or inaccessible to rural agents in most poor rural economies, social networks play a highly important role in mitigating the risks that agricultural households face. These kinds of informal insurance schemes are presumed to be most effective in the face of idiosyncratic risk. However, social mechanisms also exist in developing countries that may reduce locally correlated risk such as the adverse economic effects of climatic conditions that affect multiple residents in a village. This paper analyzes the role of localized (bonding) and of spatially dispersed (bridging) social capital in mitigating the impact of idiosyncratic and of locally correlated shocks on farm households’ livestock endowments. Using dynamic panel generalized method of moments (GMM) system estimation with seven‐period panel dataset of over 400 households, we find that bonding social capital is able to protect households’ livestock assets against idiosyncratic shocks, but bridging social capital does not play a role in mitigating the impact of correlated shocks. The results hold up to multiple robustness checks. A test of different hypotheses about the nature of these assets’ trajectories rejects the asset poverty trap hypothesis, and instead finds that livestock asset dynamics are characterized by a single stable equilibrium.     

Price hike of staple food,nutritional impact and consumption adjustment: evidence from the 2005–2010 rice price increase in rural Bangladesh

This paper studies the nutritional impact of the rice price increase between 2005 and 2010 on households in rural Bangladesh and their resulting adjustment in consumption of rice, non-rice food and non-food items. We compare net rice buyers, who suffer from a negative income effect, with self-sufficient households that do not suffer from any such effect. Our findings indicate that rural households in Bangladesh cope well with the surge in the domestic rice price as indicated by the absence of any effect on their calorie intake and dietary diversity. In fact, both types of households similarly change their consumption of rice, non-rice grain, pulses, protein, fruits and other items. Furthermore, we do not find any evidence of buyers’ switching towards low-quality items in a food group. In a separate analysis, we compare net rice sellers with self-sufficient households and arrive at a similar conclusion. In both cases, income plays a crucial role in the consumption of non-rice food and non-food items, indicating the importance of effective income support programs at the time of price shocks in staple food items.     

Non-farm Income and Consumption Expenditures in Rural Bangladesh: Empirical Evidence from Multilevel Regression Modelling

This study examines the effects of non-farm income on household consumption expenditures in rural Bangladesh. A two-stage endogenous treatment effect model is built on data from a nationally representative Household Income Expenditure Survey (HIES) 2010 to control selection bias. The HIES follows a hierarchical data structure because the survey is based on two-stage stratified sampling. A multilevel mixed-effects linear regression model is used to capture the unobserved heterogeneity between clusters (PSUs) along with revealing important factors. Results reveal that non-farm income has a significant positive effect on household’s consumption expenditures and non-farm income recipient households spend about 29% more than their counterparts. In addition, higher level of per capita income, education, smaller family size and lower dependency ratio are found to be more effective in increasing consumption expenditures of rural households. Significant cluster-level variations are observed in the analyses. This study recommends that non-farm income generating activities should be encouraged among rural households as this would raise their consumption expenditures and hence, improve welfare and living standards among them.

     

The long run relationship between private consumption and wealth: common and idiosyncratic effects

We investigate the long run relationship between private consumption, disposable income and wealth approximated by equity and house price indices for a panel of 15 industrialized countries. Consumption, income and wealth are cointegrated in their common components. The impact of house prices exceeds the effect arising from equity wealth. The long run vector is broadly in line with the life cycle permanent income hypothesis, if house prices are allowed to enter the relationship. At the idiosyncratic level, a long run equilibrium is detected between consumption and income, i.e. the wealth variable can be excluded. The income elasticity in the idiosyncratic relationship is significantly less than unity. Hence, the presence of wealth effects in consumption equations arises from the international integration of asset markets and points to the relevance of risk sharing activities of agents. Without sufficient opportunities, an increase in national saving rates would be expected, leading to a lower path of private consumption expenditures.     

Effects of monetary and government spending policy on economic inequality

Using detailed micro-level income and expenditure data, we study the effects of monetary and government spending policy shocks on income and expenditure inequality in the US from 1990 to 2018. We find that expansionary monetary and government spending policy shocks systematically decrease income, disposable income and expenditure inequality. There is evidence of time variation on the effects and monetary policy and transfer payment shocks. Various impulse responses suggest that the impacts of the policy shocks increase during and after the Great Recession. The responses of income and expenditures of households at different percentiles suggest that expansionary monetary and government spending policy have a larger positive impact on households with low income and expenditures relative to those at the top of the distribution. We do not find evidence of the significant impact of Quantitative Easing policies on income inequality, however, expenditure inequality appear to increase due to the policies.