scholarly journals Household Incomes in Tax Data: Using Addresses to Move from Tax Unit to Household Income Distributions

2017 ◽  
Vol 2017 (002) ◽  
Author(s):  
Jeff Larrimore ◽  
◽  
Jacob Mortenson ◽  
David Splinter ◽  
◽  
...  
Keyword(s):  
Household Income ◽  
Income Distributions ◽  
Household Incomes ◽  
Tax Unit

scholarly journals Postcensal Estimates of Household Income Distributions

Demography ◽  
1989 ◽  
Vol 26 (1) ◽  
pp. 149 ◽  
Author(s):  
Lois Fonseca ◽  
Jeff Tayman
Keyword(s):  
Household Income ◽  
Income Distributions

scholarly journals PAJAK EKSPOR, PERTUMBUHAN EKONOMI, DAN PENDAPATAN: KASUS AGROINDUSTRI DI INDONESIA

KINERJA ◽  
2017 ◽  
Vol 18 (2) ◽  
pp. 180
Author(s):  
Lestari Agusalim
Keyword(s):  
Household Income ◽  
Tax Policy ◽  
Cge Model ◽  
Real Gdp ◽  
Export Tax ◽  
Industry Output ◽  
Agricultural Household ◽  
Negative Effect ◽  
Household Incomes ◽  
Positive Effect

This research aims to analyze whether export tax policy and the policy of productivity increment of agro industry based upstream and downstream sectors can increase real GDP growth, agro industry output, andhousehold income. The model used in this research is a comparative static Computable General Equilibrium (CGE) model. The data used are from the 2008 Input-Output Table, the 2008 System Accounting Matrix (SAM)Table, and other relevant suporting sources. The three simulations conducted in this research are: (1) export tax policy on agro industry’s upstream sector (SIM1), (2) export tax and productivity increment policies on agro industry’s upstream sector (SIM2), and (3) export tax and productivity increment policies on agro industry’s upstream and downstream sectors (SIM3). The three simulations will be adjusted to the government’s policies to suport agro industries’ downstream. SIM1 has negative effect on real GDP and only increases agro industry output in certain sectors only. SIM2 and SIM3 have positive effect on real GDP and increases agro industryoutput. All simulations increase non-agricultural household incomes, and decrease agricultural household incomes.Keywords: agroindustry, export tax, real GDP, household income

scholarly journals Under-reported income of Russian households

2016 ◽  
pp. 99-126 ◽  
Author(s):  
Y. Murashov ◽  
T. Ratnikova
Keyword(s):  
Theoretical Model ◽  
General Population ◽  
Random Effects ◽  
Household Income ◽  
National Literature ◽  
Alternative Methods ◽  
Estimation Technique ◽  
Micro Data ◽  
Household Incomes ◽  
Reported Income

In the proposed paper, an attempt is made to estimate the proportion of unstated income for Russian households based on micro data. An overview of microeconomic approaches to estimating the scale of under-reported income is provided. These approaches are poorly represented in the national literature, so their strengths and weaknesses are also analyzed. A theoretical model of household consumer behavior is described that allows the size of under-reported income to be estimated. The structure of household incomes and expenditures is studied based on an RLMS sample for 2012. The model is estimated using household subsamples based on the type of household and household income. The estimation technique utilizes regression variables and random effects. The resulting subsample estimates were applied to the general population and compared with those obtained by other researchers using alternative methods and other data. A comparison is made to estimates of under-reported income developed for British households.

scholarly journals International Real Estate Review

2014 ◽  
Vol 17 (3) ◽  
pp. 415-444
Author(s):  
Kazuya Tani ◽  
◽  
Yoshiyuki Kikuchi ◽  
Hideo Takaoka ◽  
Shubin Lin ◽  
...  
Keyword(s):  
Real Estate ◽  
Public Housing ◽  
Household Income ◽  
Annual Household Income ◽  
Acquisition Process ◽  
Commercial Housing ◽  
Household Incomes ◽  
The Relationship ◽  
Housing Units

The purpose of this paper is to clarify the housing acquisition process by providing profiles of residents in Shanghai. A questionnaire was prepared for residents in both public housing and commodity housing to analyze the relationship between the purchase prices of housing units and the annual household incomes of the buyers. The ability to purchase private condominium units depends on whether the purchasers already possess any real properties. In Shanghai, the number of condominiums supplied by private developers has been rapidly increasing in recent years and represented about 40% of the number of households in 2009. However, as these prices are about 9 to 14 times the average annual household income, we believe that a path from renting public housing to owning commercial housing, which was a relocation process commonly witnessed in the 1980s in Japan, is considerably difficult to be followed by regular residents in Shanghai.

scholarly journals The benefits of geographical indication certification through farmer organizations on low-income farmers: the case of Hoa Vang sticky rice in Vietnam

2021 ◽  
Vol 30 ◽  
pp. 46
Author(s):  
Huaiyu Wang ◽  
Dao The Anh ◽  
Paule Moustier
Keyword(s):  
Low Income ◽  
Household Income ◽  
Primary Data ◽  
Small Scale ◽  
Econometric Methods ◽  
Farmer Organizations ◽  
Quality Upgrading ◽  
Small Scale Farmers ◽  
Household Incomes ◽  
Farmer Organization

Origin labeling and quality upgrading through farmer organizations have been considered as solutions to reduce transaction costs and improve market bargaining power. This paper explores whether belonging to a farmer organization that improves and signals quality can help increase yields and household incomes of small-scale farmers for a specific quality product, Hoa Vang sticky rice in Vietnam. The paper is based on primary data on 185 households collected in 2013 and on 149 households collected in 2015. Different econometric methods were applied to investigate the effect based on rice yield, rice income and household income as the outcome variables. The results show that membership of farmer organization does not significantly improve household income compared to non-membership. However, members of farmer organizations have less resources in terms of land and inputs than non-members. These results suggest that the economic results achieved by farmers with fewer opportunities to access markets are similar to those obtained by farmers with more opportunities thanks to the involvement of farmer organizations in marketing. The specificities of the Hoa Vang sticky rice are still not reflected in higher farmer sales prices and incomes. More dialogue between farmer organizations and their customers is thus required, as well as better public control of labeling fraud.

Effectiveness of non-farm diversification on rural household income – evidence and policy implications from India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shreya Kapoor ◽  
Sanjeev Kapoor
Keyword(s):  
Household Income ◽  
Rural Households ◽  
Rural Household ◽  
Policy Implications ◽  
Sample Survey ◽  
Indian States ◽  
Farm Sector ◽  
Content Type ◽  
Farm Diversification ◽  
Household Incomes

Purpose Doubling farming households’ income through occupational diversification to the non-farm sector has been advocated to be of paramount importance in an agrarian economy such as India. The purpose of this paper is to analyse the effects of non-farm activities on rural household incomes in four different Indian states by using a propensity score matching technique and developing an endogenous switching model. Design/methodology/approach The research is based on secondary data taken from four quinquennial rounds of employment and unemployment surveys conducted by the National Sample Survey Organization. Findings The matching results indicate a maximum monthly rise in per capita income of Rs. 60 in Gujarat and a minimum increase of Rs. 18 in Rajasthan among rural households employed in the non-farm sector as compared to the farm sector. The findings confirm that rural non-farm structural diversification cannot be viewed as a blueprint for increasing rural household incomes in different states. Further, it suggests the need to segmenting the different states on the basis of agricultural development for increasing rural incomes. Research limitations/implications The study argues that Indian states with a strongly developed farm sector i.e. Gujarat and Punjab are not ideally suited to undergo structural changes in their economic pursuit. The estimates suggest that the transition of rural households from farm to non-farm-sector activities is a very weak strategy in agriculturally developed states of Gujarat and Punjab, whereas non-farm diversification becomes a pivotal strategy for increasing rural household incomes in less agriculturally developed states such as Rajasthan and Uttar Pradesh. A contrasting point that arises from these evidence is that although diversification to the non-farm sector leads to higher income, but the resultant figures are very scanty. Originality/value The present study contributes to the existing literature by providing evidence and policy implications on rural non-farm diversification in India and its impact on the rural household income. The study can help the policymakers in framing policies aiming at increasing the income of the rural household through the structural transition of the rural economy.

Abstract 2381: Socioeconomic Status is Associated with Increased Morbidity in Patients Enrolled in a Dedicated Heart Failure Program

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Jane T Luu ◽  
Christopher P Gans ◽  
Paymon Mesgarzadeh ◽  
Thomas Stamos ◽  
John A Kao
Keyword(s):  
Heart Failure ◽  
Household Income ◽  
Census Data ◽  
Education Level ◽  
Socioeconomic Disparities ◽  
Heart Failure Clinic ◽  
Bachelor's Degrees ◽  
Artery Disease ◽  
The University ◽  
Household Incomes

Despite continued advances in medicine, the NIH has reported that differences in the incidence, prevalence, and burden of diseases persist between socioeconomic classes. Heart failure (HF) is the leading cause of hospitalizations in all patients over the age of 65. The effect of socioeconomic disparities on this major cause of morbidity has not been well studied. A retrospective analysis was performed on 500 patients with heart failure followed in the University of Illinois-Chicago heart failure clinic from 1/1/2000 –1/1/2008. Patients were stratified by household income and education level by correlating patient zip codes with the 2000 U.S. Census Data. The primary endpoint was admission for HF exacerbation. In patients with established HF, patients living in areas with lower median household incomes were significantly more likely to have a HF exacerbation (P = 0.006), as well as an increase in total exacerbations (P = 0.005) through an average follow up period of 5.2 years. The same trend was observed when areas were stratified according to the percentage of population with bachelor’s degrees. Overall, baseline characteristics were similar between groups. Significant differences by household income and education level were found in hypertension, presence of coronary artery disease and medication use (Tables 1 and 2 ). Despite uniform treatment according to ACC/AHA guidelines, socioeconomic disparities were associated with increased morbidity in patients established in a dedicated heart failure program. Further studies are needed to address these disparities. Heart Failure Outcomes by Median Household Income Heart Failure Outcomes by Education

scholarly journals Diversification of Livestock-Keeping Smallholders in Mountainous Rural Regions of Azerbaijan and Georgia

Land ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 267
Author(s):  
Regina Neudert ◽  
Naiba Allahverdiyeva ◽  
Niyaz Mammadov ◽  
Alexandre Didebulidze ◽  
Volker Beckmann
Keyword(s):  
Household Income ◽  
Social Benefit ◽  
Farm Income ◽  
Urban Migration ◽  
Farm Work ◽  
Caucasus Region ◽  
Income Sources ◽  
Central Asian ◽  
Job Opportunities ◽  
Household Incomes

Diversified livelihoods combining farming, livestock keeping and non-farm income are characteristic of many rural households worldwide. For the Central Asian and Caucasian region, livestock keeping is especially important in terms of land use and socio-cultural heritage. We contribute to the literature with data from the under-researched Caucasus region and investigate: (i) the extent of diversification in smallholder households; (ii) the role of livestock keeping in diversification; (iii) the influence of household-specific and location-specific variables and diversification on household income. Based on a dataset of 303 households, we calculate contribution margins for the main agricultural activities, household income, and diversification indices and analyze the influence of diversification, asset and location variables on household income with a regression model. Household income is generally diversified and a combination of four income sources (crops, livestock, poultry/bees and social benefits) was the most frequent. The econometric analysis shows that higher household incomes are positively correlated with higher household land and livestock assets, the presence of non-farm work and social benefit income sources and with an increasing specialization as measured by the diversification index. For enhancing rural household incomes and slowing down rural-urban migration, the development of non-farm job opportunities is recommended.

scholarly journals Use of Social Media Platforms among Adults in the United States—Behavior on Social Media

Societies ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 27 ◽  
Author(s):  
Jan Hruska ◽  
Petra Maresova
Keyword(s):  
Social Media ◽  
Household Income ◽  
Media Use ◽  
The United States ◽  
Brand Awareness ◽  
Social Media Use ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
Household Incomes ◽  
The U.S

Social media has evolved over the last decade to become an important driver for acquiring and spreading information in different domains such as business, entertainment, crisis management, and politics. The increasing popularity of social media raises a number of questions regarding why we use it so much and what aspects influence this activity. What about gender? What about education, income, age or social status? This paper answers some of these questions using statistical analyses and by dividing overall social media use into selected social media, i.e., Facebook, Instagram, Snapchat, YouTube, and Twitter. The analysis used a dataset that contains information related to 2002 respondents from the U.S. and their social media activity. The results show that people with high household incomes and high education use social media the most. As age increases, social media use decreases, while bigger household income means that social media are used more. Overall, understanding where and at what frequency users are on social media can be a key competitive advantage. When using social networks correctly for marketing, companies can significantly improve their brand awareness, customer satisfaction, quality, reach, and profit.

Sign in / Sign up

Export Citation Format

Share Document