Revisiting the Issue of the Income Distribution in the Household Income and Expenditure Survey from 2017 to 2018

2021 ◽  
Vol 73 ◽  
pp. 179-208
Author(s):  
Soojeong Joo ◽  
Yeonmyung Kim
Keyword(s):  
Income Distribution ◽  
Household Income ◽  
Expenditure Survey

scholarly journals The impact of a minimum wage change on the distribution of wages and household income

2020 ◽  
Author(s):  
Paul Redmond ◽  
Karina Doorley ◽  
Seamus McGuinness
Keyword(s):  
Income Distribution ◽  
Minimum Wage ◽  
Wage Inequality ◽  
Household Income ◽  
Spillover Effects ◽  
Wage Distribution ◽  
Wage Increase ◽  
Minimum Wage Increase ◽  
Wage Change ◽  
The Impact

Abstract We use distribution regression analysis to study the impact of a 6% increase in the Irish minimum wage on the distribution of hourly wages and household income. Wage inequality, measured by the ratio of wages in the 90th and 10th percentiles and the 75th and 25th percentiles, decreased by approximately 8 and 4%, respectively. The results point towards wage spillover effects up to the 30th percentile of the wage distribution. We show that minimum wage workers are spread throughout the household income distribution and are often located in high-income households. Therefore, while we observe strong effects on the wage distribution, the impact of a minimum wage increase on the household income distribution is quite limited.

The effects of household income distribution on stroke prevalence and its risk factors of high blood pressure and smoking: a cross-sectional study in Saskatchewan, Canada

2016 ◽  
Vol 137 (2) ◽  
pp. 114-121 ◽  
Author(s):  
Yelena Bird ◽  
Mark Lemstra ◽  
Marla Rogers
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Risk Factor ◽  
Income Distribution ◽  
High Blood Pressure ◽  
Household Income ◽  
Lower Income ◽  
Cross Sectional ◽  
Statistical Adjustment ◽  
Stroke Prevalence

Background: Stroke is a major chronic disease and a common cause of adult disability and mortality. Although there are many known risk factors for stroke, lower income is not one that is often discussed. Aims: To determine the unadjusted and adjusted association of income distribution on the prevalence of stroke in Saskatchewan, Canada. Methods: Information was collected from the Canadian Community Health Survey conducted by Statistics Canada for 2000–2008. In total, 178 variables were analysed for their association with stroke. Results: Prior to statistical adjustment, stroke was seven times more common for lower income residents than higher income residents. After statistical adjustment, only four covariates were independently associated with stroke prevalence, including having high blood pressure (odds ratio (OR) = 2.62; 95% confidence interval (CI) = 2.12–3.24), having a household income below CAD$30,000 per year (OR = 2.49; 95% CI = 1.88–3.29), being a daily smoker (OR = 1.36; 95% CI = 1.16–1.58) and being physically inactive (OR = 1.27; 95% CI = 1.13–1.43). After statistical adjustment, there were five covariates independently associated with high blood pressure prevalence, including having a household income below CAD$30,000 per year (OR = 1.52; 95% CI = 1.41–1.63). After statistical adjustment, there were five covariates independently associated with daily smoking prevalence, including having a household income below CAD$30,000 per year (OR = 1.29; 95% CI = 1.25–1.33). Conclusions: Knowledge of disparities in the prevalence, severity, disability and mortality of stroke is critically important to medical and public health professionals. Our study found that income distribution was strongly associated with stroke, its main disease intermediary – high blood pressure – and its main risk factor – smoking. As such, income is an important variable worthy of public debate as a modifiable risk factor for stroke.

scholarly journals After the Financial Crisis: The Evolution of the Global Income Distribution Between 2008 and 2013

2020 ◽  
Author(s):  
Branko Milanovic
Keyword(s):  
Financial Crisis ◽  
Income Distribution ◽  
Household Income ◽  
Global Financial Crisis ◽  
Income Growth ◽  
Global Inequality ◽  
Working Paper ◽  
Income Data ◽  
The Global Financial Crisis ◽  
China’S Growth

Using the newly created, and in terms of coverage and detail, the most complete household income data from more than 130 countries, the paper analyzes the changes in the global income distribution between 2008 and 2013. This was the period of the global financial crisis and recovery. It is shown that global inequality continued to decline, largely due to China’s growth that explains one-half of global Gini decrease between 2008 and 2013. Income growth of the global top 1 percent slowed significantly. The slowdown is present even after survey data are corrected for the likely underestimation of highest incomes. The paper ends with a discussion of the effects of the financial crisis in the light of an even more serious looming crisis caused by the 2019-20 pandemic. (Stone Center on Socio-Economic Inequality Working Paper)

THE IMPACT OF THE ANTI-CORRUPTION CAMPAIGN ON INCOME DISTRIBUTION: EVIDENCE FROM CHINA

2021 ◽  
pp. 1-23
Author(s):  
YING GE ◽  
JINJUN XUE
Keyword(s):  
Income Distribution ◽  
Survey Data ◽  
Household Income ◽  
The Other ◽  
Public Officials ◽  
Government Officials ◽  
The Public ◽  
Earnings Gap ◽  
Micro Level ◽  
The Impact

This paper provides the first systematic micro-level evidences on the effectiveness of anti-corruption campaign in disciplining public officials and its impact on income distribution. Based on China Household Income Project (CHIP) survey data 2007 and 2013, we found that party and government officials had significant hidden income and the public–private earnings gap was as high as 8% before the campaign. However, the hidden income become not significant and the earnings gap declined to −18% in this post-campaign period. The regions inspected by central anti-corruption inspection groups experience larger public earnings penalties compared to the other regions. Overall, our findings suggest that the privilege of public officials declined sharply during this anti-corruption campaign.

scholarly journals Addressing Household Income Distribution in Air Travel Demand Models: Case Study of the Baltimore–Washington Region

2019 ◽  
Vol 2673 (1) ◽  
pp. 491-502 ◽  
Author(s):  
Geoffrey D. Gosling ◽  
David Ballard
Keyword(s):  
Income Distribution ◽  
Household Income ◽  
Travel Demand ◽  
Metropolitan Region ◽  
Annual Data ◽  
Demand Model ◽  
Passenger Demand ◽  
Average Household Income ◽  
Demand Models ◽  
The Future

The paper describes the development of an air passenger demand model for the Baltimore–Washington metropolitan region that was undertaken as part of a recently concluded ACRP project that explored the use of disaggregated socioeconomic data in air passenger demand studies. The model incorporated a variable reflecting the change in household income distribution, together with more traditional aggregate causal variables: population, employment, average household income, and airfares as measured by the average U.S. airline yield, as well as several year-specific dummy variables. The model was estimated on annual data for the period 1990 to 2010 and obtained statistically significant estimated coefficients for all variables, including both the average household income and the household income distribution variable. Including household income distribution in the model resulted in a significant change to the estimated coefficient for average household income, giving a much higher estimated elasticity of demand with respect to average household income compared with a model that does not consider changes in household income distribution. This has important implications for the use of such demand models for forecasting, as household income distribution and average household income may change in the future in quite different ways, which would affect the future levels of air passenger travel projected by the models.

Food Crop Production, Nutrient Availability, and Nutrient Intakes in Bangladesh: Exploring the Agriculture—Nutrition Nexus with the 2010 Household Income and Expenditure Survey

2014 ◽  
Vol 35 (4) ◽  
pp. 487-508 ◽  
Author(s):  
John L. Fiedler
Keyword(s):  
Nutrient Availability ◽  
Household Income ◽  
Nutrient Intake ◽  
Crop Production ◽  
Household Surveys ◽  
Food Crop ◽  
Available Energy ◽  
Expenditure Survey ◽  
Food Crop Production ◽  
Farming Households

Background Systematic collection of national agricultural data has been neglected in many low- and middle-income countries for the past 20 years. Commonly conducted nationally representative household surveys collect substantial quantities of highly underutilized food crop production data. Objective To demonstrate the potential usefulness of commonly available household survey databases for analyzing the agriculture—nutrition nexus. Methods Using household data from the 2010 Bangladesh Household Income and Expenditure Survey, the role and significance of crop selection, area planted, yield, nutrient production, and the disposition of 34 food crops in affecting the adequacy of farming households' nutrient availability and nutrient intake status are explored. The adequacy of each farming household's available energy, vitamin A, calcium, iron, and zinc and households' apparent intakes and intake adequacies are estimated. Each household's total apparent nutrient intake adequacies are estimated, taking into account the amount of each crop that households consume from their own production, together with food purchased or obtained from other sources. Results Even though rice contains relatively small amounts of micronutrients, has relatively low nutrient density, and is a relatively poor source of nutrients compared with what other crops can produce on a given tract of land, because so much rice is produced in Bangladesh, it is the source of 90% of the total available energy, 85% of the zinc, 67% of the calcium, and 55% of the iron produced by the agricultural sector. The domination of agriculture and diet by rice is a major constraint to improving nutrition in Bangladesh. Simple examples of how minor changes in the five most common cropping patterns could improve farming households' nutritional status are provided. Conclusions Household surveys' agricultural modules can provide a useful tool for better understanding national nutrient production realities and possibilities.

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