经济转轨、不确定性与城镇居民消费行为

本文利用中国社会科学院经济研究所收入分配课题组 1 995、1 999及 2 0 0 2年的城镇住户调查数据分析收入不确定性、失业风险、医疗支出不确定性及教育支出等因素对城镇居民消费行为的影响。研究结果表明这些不确定性因素对城镇居民消费水平具有显著的负效应 ,但效应的大小也因这些因素的可预期性的变化而变化。因此增强政策的可预见性、完善社会保障制度等措施对化解居民收支风险将具有重要作用。     

Relative Income and Indebtedness: Evidence from Panel Data

We examine patterns of indebtedness in the Panel Study of Income Dynamics, focusing on the period surrounding the housing bubble and its aftermath (i.e., 1999–2009). Leverage increased across households, but most quickly among lower income households during this period. We find additionally that leverage grew faster for households with lower relative income compared to other households in similar demographic groups or within a state controlling for own income. Together, these findings provide evidence for the thesis that the rising indebtedness of households in the U.S. is related to high levels of inequality, and that “Veblen effects,” whereby relative income matters for individual well‐being and decisions, may contribute to rising household indebtedness.     

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.     

Poverty, inequality, and growth in urban China, 1986–2000

Although urban China has experienced spectacular income growth over the last two decades, increases in inequality, reduction in social welfare provision, deregulation of grain prices, and increases in income uncertainty in the 1990s have increased urban poverty. Using a large repeated cross section household survey from 1986 to 2000, this study maps the changes in income, inequality, and poverty over the fifteen-year period and investigates the determinants of poverty. We find that the increase in poverty in the 1990s is associated with the increase in the relative food price and the need to purchase items that were previously provided free or at highly subsidized prices by the state, i.e., education, housing and medical care. In addition, the increased saving rate of poor households, which is due to an increase in income uncertainty, contributes significantly to the increase in poverty measured in terms of expenditure. Journal of Comparative Economics 33 (4) (2005) 710–729.     

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 role of education and household composition for transitory and permanent income inequality–evidence from PSID data

Transitory and permanent shocks to income have been shown to be important determinants of household consumption. This paper shows that there are significant differences in the trends of transitory and permanent income inequality between demographic groups since the 1980s. Using data from the Panel Study of Income Dynamics, educational attainment and the composition of a household are found to play a key role. While permanent inequality increases steadily for educated households, it is flat over large parts of the sample period for the less educated households. Transitory inequality increases for all households headed by couples whereas it is constant for single households. Altogether, permanent shocks account for a larger part of the income variance of educated households whereas transitory shocks are relatively more important for the less educated. These results are able to shed light on the transmission of changes in income inequality to consumption inequality.     

中国居民消费需求不足原因研究——基于中国城乡分省数据

This paper uses Chinese urban and rural panel data for 30 provinces, autonomous regions and municipalities (except Tibet and Taiwan) on the consumption of Chinese urban and rural households in 1995–2005, by constructiong a random effect model, to analyze the impact of sources of household’s consumption demand on the Chinese economy. The quantitative analysis reveals that the per capita disposable income of households is highly relevant in explaining households’ per capita consumption expenditure, in these eleven years, and that China’s consumption function was fairly stable. On the basis of flow of funds accounts (barter transaction) data in 1992–2004, the paper further reveals that, since 1997–1998, China’s consumer demand remains in the doldrums because of the following distribution and redistribution process of the national income: The Government’s share of total income and disposable income is becoming ever larger, while the share of households is declining. Aside from the result that a rise in the burden of personal tuition has a negative impact on per capita consumption demand for urban households, we have not found that housing reform or medical expenses significantly reduce consumer demand in China. We believe that low household consumption demand is caused mainly by the income redistribution between households, government, and corporations rather than the inequality in income distribution across households.     

Family decision-making for educational expenditure: new evidence from survey data for Nigeria

This study examines the determinants of educational expenditures by households in Nigeria. Data from the Nigerian General Household Survey, Panel 2012/2013, Wave 2 was used and a double-hurdle model was employed for the analysis. The results suggest household income, the age, education, gender of the household heads and urban versus rural residence have a significant impact on the decision to spend on education. Such expenditures are income elastic overall, but are very different in magnitude for low income compared to higher income families. It is found that the income elasticity of education expenditures are approximately four times greater for households in the bottom two-thirds of the income distribution than for those on the top one-third of the income distribution.     

Consumption smoothing in Russia

This paper uses panel data from rounds V–IX of the Russian Longitudinal Monitoring Survey (RLMS) to examine the extent to which households are able to protect their consumption from fluctuations in their income. It is found that consumption is only partially protected from idiosyncratic shocks to income with food consumption being better protected than non‐food consumption expenditures. This suggests that adjustments in non‐food expenditures may be an important component of the risk management tools of Russian households. The analysis also provides evidence on the extent and nature of the coping strategies adopted by households. It is demonstrated that households complement their self‐insurance strategies, of borrowing, adjusting their labour supply, and selling assets, with informal risk sharing arrangements with households within their community. An examination of the role of sample selection confirmed that these findings are quite robust to this potential source of bias. Furthermore, accounting for the role of measurement and imputation errors in the measure of household income revealed that OLS estimates may yield a misleading picture about the extent to which urban and rural households are insured from idiosyncratic income shocks. JEL classification: D1, R2, P5.     

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 the marginal propensity to consume using the distributions of income,consumption, and wealth

Studies of economic inequality almost always separately examine income, consumption, and wealth inequality, and hence, miss the important synergy amongst the three measures explicit in the life-cycle budget constraint. These joint distributions, however, are important in evaluating macroeconomic impacts of changes in income because the response may differ across the wealth distribution. This heterogeneity in the response to income changes can have significant impact on the effectiveness of government fiscal policy. Using the Panel Study of Income Dynamics from 1999–2013, we examine how the marginal propensity to consume (MPC) differs across the wealth distribution. We find that the MPC is lower at higher wealth quintiles, indicating that low wealth households cannot smooth consumption as much as other households. This implies that increasing wealth inequality likely reduces aggregate consumption, which, in turn, could limit economic growth.     

CREDIT,HOUSING COLLATERAL,AND CONSUMPTION: EVIDENCE FROM JAPAN,THE U.K., AND THE U.S.

The consumption behavior of U.K., U.S., and Japanese households is examined and compared using a modern Ando‐Modigliani style consumption function. The models incorporate income growth expectations, income uncertainty, housing collateral, and other credit effects. These models therefore capture important parts of the financial accelerator. The evidence is that credit availability for U.K. and U.S., but not Japanese, households has undergone large shifts since 1980. The average consumption‐to‐income ratio rose in the U.K. and U.S. as mortgage down‐payment constraints eased and as the collateral role of housing wealth was enhanced by financial innovations, such as home equity loans. The estimated housing collateral effect is similar in the U.S. and U.K. In Japan, land prices (which proxy house prices) continue to negatively impact consumer spending. There are negative real interest rate effects on consumption in the U.K. and U.S. and positive effects in Japan. Overall, this implies important differences in the transmission of monetary and credit shocks in Japan versus the U.S., U.K., and other credit‐liberalized economies.     

Econometric analysis of credit constraints of chinese rural households and welfare loss

Using recent survey data of Chinese rural households, we estimate the impact of credit constraints on Chinese rural households’ income and consumption. Results reveal that 71% of rural households are rationed in the credit markets. The credit constraints have significant negative effects on the income and consumption of rural households. The expenditures on education and medical treatments, the size of land holdings, household head education and the balance of financial capital all affect the demand of credit. Personal connections (relationship) are the most important determinate of the supply for credit.     

相对收入与个人效用——来自中国的证据

本文考察相对收入和相对消费对人们的影响程度,并比较社会中不同收入的不平等程度是否对这种影响起作用。笔者在中国城镇居民中进行了调查实验,用特定指标衡量人们对收入和消费的相对性关注程度。实证分析发现：（1）相对收入和绝对收入对个人效用的影响始终存在,但在炫耀性消费品（如汽车和住房）和非炫耀性消费品（如假期和保险）上的影响程度不同;（2）人们对相对收入和相对消费的关注程度较为集中在同一个区间里;（3）教育程度和职业显著地影响相对收入对人们的效用,男性比女性显著地更加在意汽车和住房的相对消费;（4）社会收入不平等没有显著影响对相对收入的关注度,但对住房消费的相对性有影响。这些发现为我们了解消费行为决策和认识宏观经济中收入不平等的消费效应有一定的启示。     

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.

     

Consumption and Income Inequality in Australia

Consumption may be a more appropriate measure of household well-being than income or earnings. Using four ABS Household Expenditures Surveys collected between 1975 and 1993, we compare trends in consumption and income inequality among Australian households. We find that consumption is much more equal than income. While there were significant increases in both income and consumption inequality, consumption inequality rose by much less. One interpretation of the results is that some income inequality in Australia reflects transitory fluctuations which households can smooth,'and that part of the growth in income inequality reflects an increase in these transitory fluctuations.     

How much does household collateral constrain regional risk sharing?

We construct a new data set of consumption and income data for the largest US metropolitan areas, and we show that the extent of risk-sharing between regions varies substantially over time. In times when US housing collateral is scarce nationally, regional consumption is about twice as sensitive to income shocks. We also document higher sensitivity in regions with lower housing collateral. Household-level borrowing frictions can explain this new stylized fact. When the value of housing relative to human wealth falls, loan collateral shrinks, borrowing (risk-sharing) declines, and the sensitivity of consumption to income increases. Our model aggregates heterogeneous, borrowing-constrained households into regions characterized by a common housing market. The resulting regional consumption patterns quantitatively match those in the data.     

The impact of digital finance on household consumption: Evidence from China

Using panel data from the China Household Finance Survey (CHFS) in 2013, 2015, and 2017 and the digital inclusive finance index developed by Peking University, this study examined impacts of the digital inclusive finance on household consumption and explored its mechanisms. Results suggest that the digital inclusive finance could promote households consumption. A heterogeneity analysis showed that households with fewer assets, lower income, less financial literacy and in third- and fourth-tier cities experienced larger facilitating effects of digital finance on consumption compared to their counterparts. For consumption categories, digital finance was positively correlated with food, clothing, house maintenance, medical care, and education and entertainment expenditures. In terms of consumption structure, digital finance mainly promoted the recurring household expenditures rather than the non-recurring expenditures. Further analyses based on the mediating model found that online shopping, digital payment, obtainment of online credit, purchase of financing products on the internet and business insurance, were the main mediating variables through which digital finance affected household consumption.     

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.     

A test of the household income process using consumption and wealth data

The evolution of household income can be explained almost equally well by rival models. However, rival models have very different implications for other household behaviours, such as consumption. I therefore test between two prominent models in the UK using panel data on consumption and wealth, as well as income, over 1991–2006. To operate the test, I show that long-lived income shocks transmit far less than one-for-one through to consumption, and particularly so for younger households. I then compare these estimates of transmission with estimates of households’ ability to smooth shocks, captured by the data on wealth. Conditional on the suitability of the consumption model, my estimates provide evidence against the restricted income process (RIP) and in favour of an alternative heterogeneous income process (HIP). This finding also explains why cross-sectional consumption inequality grew slowly over the period even though the variance of long-lived shocks was high. Finally, I conclude that it is important to consider mean reversion of shocks when constructing life-cycle consumption models.