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By applying multivariate regression to 2020 survey data from four Tehran hospitals, we measure eight recognized sources of Coronavirus disease 2019 (COVID-19) pandemic-related anxiety among 723 healthcare workers (HCWs) with diverse sociodemographic characteristics employed across different hospital areas and positions. The most prominent anxiety source identified is the risk of workplace COVID-19 contraction and transmission to family, followed by uncertainty about organizational support for personal and family needs in the event of worker infection. A supplemental qualitative analysis of 68 respondents in the largest hospital identifies four additional anxiety sources, namely, health, finances, workload, and leadership. This evidence of the multifaceted nature of anxiety sources among HCWs highlights the differentiated approaches that hospital policymakers must take to combat anxiety.

This study used cross-sectional UK Biobank data to estimate the influence of active and passive commuting modes and commuting distance on cardiovascular disease (CVD) -related biomarkers as measures of health outcomes. The analysis applied logistic regression to assess the risk of exhibiting individual biomarker values outside a predefined reference interval and standard linear regression to estimate the relation between commuting practices and a composite CVD index. The study sample comprised 208,893 UK Biobank baseline survey participants aged 40 to 69 who use various modes of transport to commute to work at least once a week. Participants were recruited and interviewed between 2006 and 2010 at 22 centers geographically dispersed across England, Scotland, and Wales. The data set included these participants' sociodemographic and health-related information, including lifestyle indicators and biological measures. The primary outcome was a shift from low to high-risk blood serum levels in eight cardiovascular biomarkers: total cholesterol, low density lipoprotein, high density lipoprotein, triglycerides, apolipoprotein A and B, C-reactive protein, and lipoprotein (a). Our results indicated a small negative association between the composite risk index for CVD biomarkers and weekly commuting distance. Although estimates for active commuting modes (cycling, walking) may admittedly be sensitive to different covariate adjustments, our specifications show them to be positively associated with select CVD biomarkers. Commuting long distances by car is negatively associated with CVD-related biomarkers, while cycling and walking might be positively associated. This biomarker-based evidence, although limited, is less susceptible to residual confounding than that from distant outcomes like CVD mortality.

Using data from the 2011 and 2015 China Health and Retirement Longitudinal Study, this paper analyzes the relation between health perception biases and risky health behaviours among adults aged 45 ...

Understanding household-level asset dynamics has important implications for designing relevant poverty reduction policies. To advance this understanding, we develop a microeconomic model to analyse the impact of a shock (e.g., a drought) on the behavioural decisions of pastoralists in Northern Kenya. Using household panel data, this study then explores the livestock asset dynamics using both non-parametric and semi-parametric techniques to establish the shape of the asset accumulation path and to determine whether multiple equilibria exist. More specifically, using tropical livestock units as a measure of livestock accumulation over time, we show not only that these assets converge to a single equilibrium but also that forage availability and herd diversity play a major role in such livestock accumulation.

Using data from the 1991–2009 China Health and Nutrition Survey, this study investigates China’s income-health gradient by analysing the effect of both current and long-term household income on 22 ...

Background Although understanding changes in the body weight distribution and trends in obesity inequality plays a key role in assessing the causes and persistence of obesity, limited research on this topic is available for Cuba. This study thus analyzed changes in body mass index (BMI) and waist circumference (WC) distributions and obesity inequality over a 9-year period among urban Cuban adults. Methods Kolmogorov-Smirnov tests were first applied to the data from the 2001 and 2010 National Survey on Risk Factors and Chronic Diseases to identify a rightward shift in both the BMI and WC distributions over the 2001–2010 period. A Shapley technique decomposed the increase in obesity prevalence into a mean-growth effect and a (re)distributional component. A univariate assessment of obesity inequality was then derived by calculating both the Gini and generalized entropy (GE) measures. Lastly, a GE-based decomposition partitioned overall obesity inequality into within-group and between-group values. Results Despite some relatively pronounced left-skewing, both the BMI and WC distributions exhibited a clear rightward shift to which the increases in general and central obesity can be mostly attributed. According to the Gini coefficients, both general and central obesity inequality increased over the 2001–2010 period, from 0.105 [95% confidence interval (CI) = 0.103–0.106] to 0.110 [95% CI = 0.107–0.112] and from 0.083 [95% CI = 0.082–0.084] to 0.085 [95% CI = 0.084–0.087], respectively. The GE-based decomposition further revealed that both types of inequality were accounted for primarily by within-group inequality (93.3%/89.6% and 87.5%/84.8% in 2001/2010 for general/central obesity, respectively). Conclusions Obesity inequality in urban Cuba worsened over the 2001–2010 time period, with within-group inequality in overall obesity dominant over between-group inequality. In general, the results also imply that the rise in obesity inequality is immune to health care system characteristics.

Despite empirical evidence that individuals form their fertility preferences by observing social norms and interactions in their environments, the exact impact of these peer effects remains unclear. We thus use data from the 2014 and 2016 China Labor-force Dynamics Survey to investigate the association between community-level peer effects and fertility preferences among Chinese women aged 18–49. Whereas our baseline results indicate that 11.96% of these women would prefer 1 or no children, 74.1% would like 2 children and 13.93% would prefer 3 or more children. A one unit increase in community-level peer fertility reduces the preference of wanting only one child by 14.3%, whereas it increases the probability of preferring three children by 9.3% and four or more children by 4.8%. Hence, overall, we find a relatively strong peer effect on individual fertility preferences in communities characterized by generally low fertility rates, which provide support for the role of social norms in the fertility choices of reproductive-aged Chinese women.

Although the strong positive correlation between parental educational expectations (PEE) and child academic achievement is widely documented, little is known about PEE’s effects on child psychological outcomes and the mechanisms through which it may work. Hence, in this paper, using nationally representative data from the 2013–2014 and 2014–2015 waves of the China Education Panel Survey, we investigated PEE’s causal impact on adolescent subjective well-being (SWB) and the moderating role of the academic pressures that these adolescents perceive. While we provided robust evidence for a positive causal relation between PEE and adolescent SWB, we also found that this relationship is negatively moderated by adolescent-perceived academic pressure, indicating that academic pressure is likely to attenuate the beneficial impact of PEE on adolescent SWB. In addition, the facts that the benefits of PEE are greater for female adolescents and those from migrant, one-child, and non-poor families suggested that it may operate on adolescent SWB through increased family resources, improved family relationships, and higher adolescent aspirations linked to higher PEE.

This study uses data from the 2012 China Labour-Force Dynamics Survey and 2010-2012 China Family Panel Studies to investigate job satisfaction and job expectations, as well as the association between job satisfaction and job turnover by gender among employees aged 16-65. We find not only that job satisfaction levels are relatively low, with only 46% of workers explicitly satisfied, but also that worker expectations differ significantly from what their jobs actually provide. In particular, many jobs are less interesting than expected, which prevents workers from realizing their perceived potential. This expectation gap is thus a strong determinant of job satisfaction. Men and women have similar levels of job satisfaction, yet based on observables, one would expect women's job satisfaction to be lower than it actually is, thereby lending support to the gender-job-satisfaction paradox encountered in Western studies. In contrast to Western research, we find no link between job satisfaction and job change, an observation we attribute to China's unique Confucian-based work ethic.

Due to the popularization of the Internet in rural China, mobile Internet use has become an essential part of rural residents’ lives and work. No studies, however, have investigated the potential effect of smartphone use on quality of life among rural residents in China. This study thus applies ordinary least squared, conditional quantile and instrumental variable techniques to survey data for 493 rural Chinese households to assess the impact of smartphone use (SU) on their subjective well-being (SWB). The results reveal an association between SU and increases in both life satisfaction and happiness that remains even after we adjust for possible endogeneity. The analysis also indicates that SU intensity is associated with lower levels of both SWB measures, especially when it exceeds 3 h per day. Quantile estimates further indicate that in both participation and intensity, SU has a much greater impact on SWB at the median level of the SWB distribution. Our multiple mediation results show that the positive SU–SWB linkage is partially mediated by both farm income and off-farm income. This may suggest that the local government should invest in Internet infrastructure to promote agricultural activities and develop specific rural services to boost farm income via better access to information of agricultural production and market networks. Mobile information and communication technologies can also provide more opportunities for rural entrepreneurship and innovation, in particular by motivating young farmers to actively engage in rural e-business ventures which can raise off-farm income.

This study applies a machine learning (ML) approach to around half a million observations from the German Socio-Economic Panel to assess the relation between life satisfaction and age. We show that with our ML-based approach it is possible to isolate the effect of age on life satisfaction across the lifecycle without explicitly parameterizing the complex relationship between age and other covariates – this complex relation is taken into account by a feedforward neural network. Our results show a clear U-shape relation between age and life satisfaction across the lifespan, with a minimum at around 55 years of age.

Using data from the China Health and Nutrition Survey, this study analyses two decades (1991-2011) of change in adult obesity in China with a focus on whether rising obesity rates result from all population cohorts becoming more obese across time (intra-cohort change) or recent cohorts being more obese than their earlier counterparts (inter-cohort change or cohort replacement). To do so, we decompose changes in the body mass index (BMI), waist circumference (WC), general obesity and abdominal obesity of adults aged 20+ using both Firebaugh's linear decomposition and Das Gupta's non-linear technique. Our analysis not only reveals significant increases in both general and abdominal obesity (8.1 and 32 percentage points, respectively) in the two decades studied but shows that the rising means in all four measures are mostly attributable to intra-cohort change. In fact, contrary to findings for the U.S., inter-cohort change for the Chinese sample is actually negative, implying that cohort replacement attenuates intra-cohort change over time. Given that intra-cohort change is the central force for the increase in BMI, WC and obesity with individual increases in obesity widely distributed across all cohorts and age groups over time, policy interventions should focus more broadly on all age groups and birth cohorts.

In this paper, we assess the long‐term effect of floods on food security (as measured by calorie and micronutrient consumption) by applying an instrumental variable approach to data from the Afghanistan National Risk and Vulnerability Assessment survey. To identify the determinants of this effect, we also estimate how floods affect per capita yearly household income and poverty status. We find that exposure to flooding during a 12‐month period decreased daily calorie consumption by approximately 60 kcal while increasing the probability of iron, vitamin A, and vitamin C deficiency by 11, 12, and 27 percentage points, respectively. Controlling for price shocks and income only marginally reduces this flood effect on food security, suggesting that impaired livelihoods (rather than price hikes) are its primary driver. We further determine that exposure to this natural disaster decreases income by about 3% and makes flood‐affected households about 3 percentage points more likely to be poor. Lastly, we show that experience of floods is strongly and significantly associated with lower diet quality and quantity, and with engaging in consumption smoothing coping strategies, such as buying food on credit and taking loans. These findings underscore the serious direct impact of floods on both diet and effective behavioral responses to such shocks while emphasizing the need for targeted micronutrient supplementation in disaster relief and food aid measures even after the period of natural disaster emergency.

The health risks of the current COVID-19 pandemic, together with the drastic mitigation measures taken in many affected nations, pose an obvious threat to public mental health. The social science literature has already established a clear link between mental health and sociodemographic as well as economic factors; at the same time, a growing number of studies investigate the role of biased risk perceptions. To assess this role in the context of COVID-19, this study first implements survey-based measures of health perception biases among Chinese adults during the pandemic. Then, it analyzes their relation to three mental health outcomes: life satisfaction, happiness, and depression (as measured by the CES − D). We show that the health overconfidence displayed by approximately 30% of the survey respondents is a clear risk factor for mental health problems; it is a statistically significant predictor of depression and low levels of happiness and life satisfaction. We also document that these effects are stronger in regions that experienced higher numbers of confirmed COVID-19 cases and deaths. Our results also offer clear guidelines for the implementation of effective interventions to temper health overconfidence, particularly in uncontrollable situations like the COVID-19 pandemic.

By exploiting rich retrospective data on childhood immunization, socioeconomics, and health status in China (the China Health and Retirement Longitudinal Study), we assess the long-term effects of childhood vaccination on cognitive and educational outcomes in that country. To do so, we apply various techniques (e.g., propensity score and coarsened exact matching and correlated random effects) to different sets of conditioning variables and subsamples to estimate the average treatment on the treated effect of childhood vaccination. Our results confirm that vaccinations before the age of 15 have long-term positive and economically meaningful effects on nonhealth outcomes such as education and cognitive skills. These effects are relatively strong, with vaccinated individuals enjoying about one more year of schooling and performing substantially better later in life on several cognitive tests.

To assess the efficacy of Covid-19 non-pharmaceutical interventions (NPIs) on infectious disease containment in Europe, we first use weekly 2015-20 data on the spread of influenza and respiratory syncytial virus (RSV) to compare the 2019-20 season of these diseases with the previous five. Although the magnitude of results differs between countries, we document much stronger end-of-season declines in infections in the most recent outbreak than in the earlier ones, implying that they may be driven by NPIs implemented in 2020 to combat Covid-19. To test this conjecture, we use detailed country-specific weekly information on Covid-19 NPIs to estimate several panel models that relate NPI implementation to disease incidence across countries. Not only do certain measures significantly reduce the spread of Covid-19, they also curtail the spread of influenza and RSV. Nonetheless, although we identify workplace closures as a particularly effective measure, we find no evidence for the efficacy of other NPIs such as travel restrictions.

Using eight waves from the German Panel Analysis of Intimate Relationships and Family Dynamics (pairfam), we analyse how different domains of subjective wellbeing evolve within seven years (2008–2015) in three different cohorts born 10 years apart (1971/73, 1981/83, and 1991/93). This study contributes to the ongoing debate about subjective wellbeing following a U-shaped pattern over the life course. In four domains our results show the first half of such a U-shaped pattern: on average, general life satisfaction – as well as satisfaction with leisure time, social contacts and friends, and family – declines substantially between the ages of 15 and 44, with the most significant decrease taking place at a young age (early 20s). Nevertheless, trajectories among the three cohorts differ markedly, indicating that, ceteris paribus, responses on subjective wellbeing differ greatly between cohorts born just a decade apart. The results further indicate that the two older cohorts assess family life and social contacts more favourably than the youngest cohort.

Background Work hour constraints (WHC), or the mismatch between desired and actual worktime, can negatively affect work productivity, job satisfaction, worker health and job fluctuations. Objectives This study analyzes the WHC trends in the German nursing market between 1990 and 2015. Methods Using data from 25 waves (1990–1995 and 1997–2015) of the German Socio-Economic Panel, the contractual, actual, and desired worktime among a representative sample of German nurses (N = 6493) were analyzed. The trends in over/underemployment for full and part-time nurses and the modalities/trends in overtime compensation were analyzed. A Blinder-Oaxaca decomposition was used to explain changes in worktime. Results Although German nurses’ actual and contractual work hours decreased substantially between 1990 and 2015, their desired work hours remained stable (31 h/week), precipitating a persistent gap between actual and desired work hours and an ongoing reliance on overtime. For full-time nurses, the actual work hours consistently exceeded the contracted ones by 3–6 hours. For part-time nurses, the actual and desired work hours have remained very similar, indicating ability to control workforce participation. Conclusions WHC remained persistently high over the quarter century studied, with overemployment affecting nearly half of the nursing workforce. Overemployment, resulting primarily from overtime, was high among full-time nurses. Study findings could guide the formulation of programs to optimize German nursing workforce participation.

In this paper, we use data from the German Socio-Economic Panel to investigate the effect of macro-economic conditions (in the form of local unemployment rates) on smoking behavior. The results from our panel data models, several of which control for selection bias, indicate that the propensity to become a smoker increases significantly during an economic downturn, with an approximately 0.7 percentage point increase for each percentage point rise in the unemployment rate. Conversely, conditional on the individual being a smoker, cigarette consumption decreases with rising unemployment rates, with a one percentage point increase in the regional unemployment rate leading to a decrease in consumption up to 0.8 percent.

Using data from the 2010 China Family Panel Studies, this study investigates the association between commute time and subjective well-being in a sample of 16- to 65-year-old employees in urban China. We find evidence that a longer commute time is associated with lower levels of both life satisfaction and happiness, especially when the commute times are extreme (≥ 1 hour per day). A multiple mediation analysis further indicates that the relation between commute time and happiness is partially mediated by time spent on daily activities, particularly sleeping. We calculate the amount of income necessary to compensate an employee's loss in well-being at approximately 82 yuan per hour of commute time, implying that, in urban China, the annual loss of well-being amounts to around 10 billion yuan.

Using two waves of the National Survey on Risk Factors and Chronic Diseases in Cuba, we identify demographic and socioeconomic characteristics associated with obesity among urban adults aged 18+ and decompose the change in obesity within this 9-year period using both the mean-based Blinder-Oaxaca decomposition and a nonlinear approach. Our results reveal significant increases in overweight and obesity (2.3, 3.1, and 7.6 percentage points for BMI-based overweight, BMI-based obesity, and abdominal obesity, respectively). Depending on the decompositional approach and obesity measure, our analysis explains between 13% and 51% of the rise in overweight and obesity, with most part attributable to changes in risky behavior, age, and education. Of particular importance are the large decline in smoking and the population’s changing age structure.

Using the 2012–2018 waves of the China Family Panel Studies, we investigate the impact of energy poverty (EP) on subjective well-being (SWB) among Chinese adults aged 18 and over. In addition to documenting EP rates in the range of 13.2% to 35.3% (dependent on measurement used), we show that EP leads to higher levels of depression. These results are robust to both alternative EP and SWB measures and to a series of estimation approaches that control for endogeneity. Structural equation modeling of the underlying mechanisms shows that individual self-reported health and household food expenditure mediate the EP-SWB relation.

Background: Although prior research on the housing–health linkage suggested that those with poor housing conditions are more likely to report poor health, it is dominated by Western studies and offers little evidence on the housing–health relation in China. Scarce is empirical evidence on the potentially detrimental impact of either qualitative or quantitative housing poverty on health outcomes, especially for seniors in China. This paper aims to fill this void by using data from the 2011–2015 China Health and Retirement Longitudinal Study (CHARLS) to provide a comprehensive analysis of the demographic, socioeconomic, and behavioral factors that contribute to changes in healthy aging among Chinese adults aged 60 and over. Methods: Data collected from 8839 adults aged 60 and over in the 2011 and 2015 CHARLS (3732 in 2011 and 5107 in 2015) were used. We first used six blood-based biomarkers to construct a composite measure of the Chinese Healthy Aging Index (CHAI, ranging from 0 (healthiest) to 12 (unhealthiest)) and then assessed the psychometric properties of the CHAI score, including acceptability, internal consistency, convergent validity, discriminative validity and precision. In addition, we employed both mean-based Blinder–Oaxaca and unconditional quantile regression decomposition to decompose the change in healthy aging within the 2011–2015 period. Results: We overall identified a decrease in CHAI score from 5.69 in 2011 to 5.20 in 2015, which implies an improvement in healthy aging during this period. Our linear decomposition revealed that dependent on the type of measure used (whether quality, quantity, or combined quality–quantity), housing poverty explained 4–8% of the differences in CHAI score. Our distributional decompositions also highlighted an important role for housing poverty in the change in healthy aging, accounting for approximately 7–23% of the explained portion. Within this latter, the relative contribution of housing quantity and quality poverty was more pronounced at the median and upper end of the CHAI distribution. We also found household expenditure to be significantly associated with healthy aging among older Chinese adults and made the largest contribution to the improvement in healthy aging over time. Conclusions: The association between housing poverty and CHAI is independent of household expenditure. Regardless of type, housing poverty is positively associated with a decrease in healthy aging. Thus, improved housing conditions boost healthy aging, and housing amelioration initiatives may offer the most effective solution for augmenting healthy aging in China. Improvement of flush toilets and the access to potable water and a separate kitchen require particular attention. Since high-density congested housing has a negative impact on healthy aging, more attention can also be paid to improvements in the available space for older people. Especially at an institutional level, the government may extend the housing policy from a homeownership scheme to a housing upgrading scheme by improving housing conditions.

Using data from a random sample of the 2005 National Population Survey of China, we investigate the association between child death and maternal hourly wages. Approximately 1.6 per cent of the popu...

Using data from the fifth wave of the Survey of Health, Ageing and Retirement in Europe, this study investigates the association between food insecurity (FI) and several demographic and socioeconomic characteristics in a sample of individuals aged 50 and over in 15 European countries. On average, approximately 12% of individuals that eat meat/fish/poultry or fruit/vegetables less than 3 times per week cannot afford to eat these food items more often. Our Heckman probit analysis reveals that being employed, having higher levels of education and household income are associated with a lower probability of being unable to afford meat/fish/poultry or fruit/vegetables on a regular basis. Pronounced country-specific heterogeneity is also observed in food unaffordability: relative to Germany, the Eastern and Southern European countries, particularly the Czech Republic, Estonia, France, Italy, and Spain, are more vulnerable to food unaffordability. Nonlinear decompositional results show that household income and being employed are the two main contributors to the food unaffordability gap between high FI and low FI prevalence among European countries.

In this article, we use 22 years of data from the German Socio-Economic Panel and information on plant closures to investigate the effects of unemployment on four indicators of unhealthy lifestyles: diet, alcohol consumption, smoking and (a lack of) physical activity. In contrast to much of the existing literature, which unlike our analysis is unable to assess causality, our results provide little evidence that unemployment gives rise to unhealthy lifestyles.

Background To throw light on the under-researched association between socioeconomic position (SEP) and health in Cuba, this study examined SEP gradients in health and their underlying mechanisms among urban Cuban adults aged 18–65. Methods By applying linear regressions to data from the 2010 National Survey on Risk Factors and Chronic Diseases, the analysis explored the SEP-health gradient along three SEP dimensions − education, occupation, and skin colour − using ten health measures: self-reported health (SRH), general and abdominal obesity, hypertension, high glucose, high cholesterol, high triglycerides, low high-density lipoprotein cholesterol, metabolic syndrome, and cumulative risk factors. Regressions also included behaviours and health-related risk perceptions (tobacco and alcohol consumption, diet, physical activity, and risk-related behaviours). It thus investigated the SEP-health gradient and its underlying mechanisms via both behaviours and health-related risk perceptions. Results Once controlling for gender, age, marital status, region and provincial dummies, the analysis detected educational gradients in SRH (estimated coefficient [95% CI]: middle-level education = 3.535 [1.329, 5.741], p p p p Conclusions In terms of objective health measures, the study provides minimal evidence for an SEP-health gradient in Cuba, results primarily attributable to the country’s universal healthcare system − which offers full coverage and access and affordable medications − and its highly developed education system.

Background: Improvements in child health are a key indicator of progress towards the third goal of the United Nations&rsquo, Sustainable Development Goals. Poor nutritional outcomes of Indian children are occurring in the context of high economic growth rates. The aim of this paper is to conduct a comprehensive analysis of the demographic and socio-economic factors contributing to changes in the nutritional status of children aged 0&ndash, 5 years in India using data from the 2004&ndash, 2005 and 2011&ndash, 2012 Indian Human Development Survey. Methods: To identify how much the different socio-economic conditions of households contribute to the changes observed in stunting, underweight and the Composite Index of Anthropometric Failure (CIAF), we employ both linear and non-linear decompositions, as well as the unconditional quantile technique. Results: We find the incidence of stunting and underweight dropping by 7 and 6 percentage points, respectively. Much of this remarkable improvement is encountered in the Central and Western regions. A household&rsquo, s economic situation, as well as maternal body mass index and education, account for much of the change in child nutrition. The same holds for CIAF in the non-linear decomposition. Although higher maternal autonomy is associated with a decrease in stunting and underweight, the contribution of maternal autonomy to improvements is relatively small. Conclusions: Household wealth consistently makes the largest contribution to improvements in undernutrition. Nevertheless, maternal autonomy and education also play a relatively important role.

In this study we use household panel data collected in Marsabit district of Northern Kenya, to analyse the patterns of livelihood sources and poverty among pastoralists in that area. We estimate income poverty using imputed household income relative to the adjusted poverty line and asset poverty using a regression-based asset index and tropical livestock units (TLU) per capita. Our results indicate that keeping livestock is still the pastoralists’ main source of livelihood, although there is a notable trend of increasing livelihood diversification, especially among livestock-poor households. The majority of households (over 70%) are both income and livestock-poor with few having escaped poverty within the five-year study period. Disaggregating income and asset poverty also reveals an increasing trend of both structurally poor and stochastically nonpoor households. The findings show that the TLU-based asset poverty is a more appropriate measure of asset poverty in a pastoral setting.

Purpose – The purpose of this paper is to use data from the 1991 to 2009 China Health and Nutrition Survey (CHNS) to analyze how income in China is related to calorie intake. Design/methodology/approach – The paper employs a variety of parametric, nonparametric, and semiparametric methods for cross-sectional and panel data, and estimates calorie-income elasticities for adults aged 18-60. Findings – The calorie-income elasticities are generally small, ranging from −0.031 to 0.022. In addition, the results show no clear nonlinearity, regardless of whether parametric, nonparametric, or semiparametric approaches are used. Originality/value – Using a wealth of estimation techniques, including parametric, nonparametric, and semiparametric approaches, this paper addresses some of the main methodological challenges encountered in estimating calorie-income elasticities. The magnitudes of calorie-income elasticities have policy implications especially with regards to the effectiveness of income-mediated policies aimed at combating food insecurity in China.