Work and situation in life of the American population. Topics: Current employment; time worked each week; hourly wage; frequency of unemployment; attitude to women working, government responsibility for older people and amount of unemployment benefit; possibility of individual planning for the future; expectations of educational opportunities of the children; occupational mobility; achievement motivation; education difference between the spouses; family size; attitudes to the extended family; regional mobility; savings account; assessment of condition of health; party preference. Demography: party preference; age (classified); race; marital status; religious denomination; religiousness; school education; occupation; professional position; employment; head of household; economic area; housing situation; party inclination; party identification; city size; membership. Arbeits- und Lebenssituation der amerikanischen Bevölkerung. Themen: Derzeitige Beschäftigung; wöchentliche Arbeitszeit; Stundenlohn; Häufigkeit von Arbeitslosigkeit; Einstellung zur Frauenarbeit, zur staatlichen Verantwortung für ältere Menschen und zur Höhe der Arbeitslosenunterstützung; Möglichkeit der individuellen Zukunftsplanung; Erwartungen an die Ausbildungschancen der Kinder; Berufsmobilität; Leistungsmotivation; Bildungsdifferenz zwischen den Ehepartnern; Familiengröße; Einstellungen zur Großfamilie; regionale Mobilität; Sparguthaben; Einschätzung des Gesundheitszustands. Demographie: Parteipräferenz; Alter (klassiert); Rasse; Familienstand; Konfession; Religiosität; Schulbildung; Beruf; berufliche Position; Berufstätigkeit; Haushaltungsvorstand; Wirtschaftsraum; Wohnsituation; Parteineigung; Parteiidentifikation; Ortsgröße; Mitgliedschaft. Multi-stage random sample with over-proportional sample Mehrstufige Zufallsauswahl mit überproportionaler Auswahl von Bevölkerungsschichten mit geringem Einkommen Oral survey with standardized questionnaire

United States US: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data was reported at 1.310 % in 2016. United States US: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data is updated yearly, averaging 1.310 % from Dec 2016 (Median) to 2016, with 1 observations. United States US: Survey Mean Consumption or Income per Capita: Bottom 40% of Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Poverty. The growth rate in the welfare aggregate of the bottom 40% is computed as the annualized average growth rate in per capita real consumption or income of the bottom 40% of the population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations.; ; World Bank, Global Database of Shared Prosperity (GDSP) circa 2010-2015 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).; ; The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

This dataset summarizes the number of dependent children (less than 18 years old) removed from households due to parental drug abuse. The data indicates if the dependent children were placed in kinship care or not. The total number of children in this data set are provided by the U.S. Census Bureau’s American Community Survey (ACS), which publishes 5 year estimates of the population. The most recent year of entries in this data set may be available before the corresponding ACS population estimates for that year are published. In that case, the data set uses values from the most recently published ACS estimates and notes the year from which those estimates are pulled. These values are updated once the Census Bureau releases the most recent estimates.” *Kinship care refers to the care of children by relatives or, in some jurisdictions, close family friends (often referred to as fictive kin). Relatives are the preferred resource for children who must be removed from their birth parents because it maintains the children's connections with their families. *The Adoption and Foster Care Analysis and Reporting System (AFCARS) definition of parental drug abuse is “Principal caretaker’s compulsive use of drugs that is not of a temporary nature.”

This data collection contains information gathered in the Survey of Income and Education (SIE) conducted in April-July 1976 by the Census Bureau for the United States Department of Health, Education, and Welfare (HEW). Although national estimates of the number of children in poverty were available each year from the Census Bureau's Current Population Survey (CPS), those estimates were not statistically reliable on a state-by-state basis. In enacting the Educational Amendments of 1974, Congress mandated that HEW conduct a survey to obtain reliable state-by-state data on the numbers of school-age children in local areas with family incomes below the federal poverty level. This was the statistic that determined the amount of grant a local educational agency was entitled to under Title 1, Elementary and Secondary Education Act of 1965. (Such funds were distributed by HEW's Office of Education.) The SIE was the survey created to fulfill that mandate. Its questions include those used in the Current Population Survey regarding current employment, past work experience, and income. Additional questions covering school enrollment, disability, health insurance, bilingualism, food stamp recipiency, assets, and housing costs enabled the study of the poverty concept and of program effectiveness in reaching target groups. Basic household information also was recorded, including tenure of unit (a determination of whether the occupants of the living quarters owned, rented, or occupied the unit without rent), type of unit, household language, and for each member of the household: age, sex, race, ethnicity, marital history, and education.

United States US: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data was reported at 1.670 % in 2016. United States US: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data is updated yearly, averaging 1.670 % from Dec 2016 (Median) to 2016, with 1 observations. United States US: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Poverty. The growth rate in the welfare aggregate of the total population is computed as the annualized average growth rate in per capita real consumption or income of the total population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations.; ; World Bank, Global Database of Shared Prosperity (GDSP) circa 2010-2015 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).; ; The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

Arbeits- und Lebenssituation der amerikanischen Bevölkerung. Themen: Derzeitige Beschäftigung; wöchentliche Arbeitszeit;Stundenlohn; Häufigkeit von Arbeitslosigkeit; Einstellung zurFrauenarbeit, zur staatlichen Verantwortung für ältere Menschen und zurHöhe der Arbeitslosenunterstützung; Möglichkeit der individuellenZukunftsplanung; Erwartungen an die Ausbildungschancen der Kinder;Berufsmobilität; Leistungsmotivation; Bildungsdifferenz zwischen denEhepartnern; Familiengröße; Einstellungen zur Großfamilie; regionaleMobilität; Sparguthaben; Einschätzung des Gesundheitszustands. Demographie: Parteipräferenz; Alter (klassiert); Rasse; Familienstand;Konfession; Religiosität; Schulbildung; Beruf; berufliche Position;Berufstätigkeit; Haushaltungsvorstand; Wirtschaftsraum; Wohnsituation;Parteineigung; Parteiidentifikation; Ortsgröße; Mitgliedschaft. Work and situation in life of the American population. Topics: Current employment; time worked each week; hourly wage;frequency of unemployment; attitude to women working, governmentresponsibility for older people and amount of unemployment benefit;possibility of individual planning for the future; expectations ofeducational opportunities of the children; occupational mobility;achievement motivation; education difference between the spouses;family size; attitudes to the extended family; regional mobility;savings account; assessment of condition of health; party preference. Demography: party preference; age (classified); race; marital status;religious denomination; religiousness; school education; occupation;professional position; employment; head of household; economic area;housing situation; party inclination; party identification; city size;membership. Mündliche Befragung mit standardisiertem Fragebogen Oral survey with standardized questionnaire Erwachsene Bevölkerung Population levels with low income. Auswahlverfahren Kommentar: Mehrstufige Zufallsauswahl mit überproportionaler Auswahl von Bevölkerungsschichten mit geringem Einkommen

Occupation describes the kind of work a person does on the job. Occupation data were derived from answers to questions 45 and 46 in the 2015 American Community Survey (ACS). Question 45 asks: “What kind of work was this person doing?” Question 46 asks: “What were this person’s most important activities or duties?”

These questions were asked of all people 15 years old and over who had worked in the past 5 years. For employed people, the data refer to the person’s job during the previous week. For those who worked two or more jobs, the data refer to the job where the person worked the greatest number of hours. For unemployed people and people who are not currently employed but report having a job within the last five years, the data refer to their last job.

These questions describe the work activity and occupational experience of the American labor force. Data are used to formulate policy and programs for employment, career development, and training; to provide information on the occupational skills of the labor force in a given area to analyze career trends; and to measure compliance with antidiscrimination policies. Companies use these data to decide where to locate new plants, stores, or offices.

The burden of animal disease is widespread globally and is especially severe for developing countries dependent on livestock production. Ethiopia has the largest livestock population in Africa and the second-largest human population on the continent. Ethiopia is one of the fastest-growing economies in Africa; however, much of the population still lives in extreme poverty, and most households depend on agriculture. Animal disease negatively affects domestic livestock production and limits growth potential across the domestic agricultural supply chain. This research investigates the economic effects of livestock disease burden in Ethiopia by employing a computable general equilibrium model in tandem with animal health loss estimates from a compartmental livestock population model. Two scenarios for disease burden are simulated to understand the effects of improved animal health on domestic production, prices, trade, gross domestic product (GDP), and economic welfare in Ethiopia. Results show that improved animal health may increase Ethiopian GDP by up to 3.6%, which improves national welfare by approximately $US 2.5 billion. This research illustrates the economic effects of improved livestock health, which is critical for Ethiopian households and the national economy.

Decomposition of welfare changes (Equivalent Variation, $US Million).

Latin American pension reforms during the 1990s dramatically increased the number of Latin Americans with a direct stake in the returns to financial capital. This paper asks: How, if at all, has this expansion affected Latin American politics? I focus particularly on popular attitudes towards neoliberalism. I argue that government-induced expansions of capital ownership do not affect public preferences about neoliberalism directly, but indirectly by shaping the information that people use to judge whether neoliberalism is welfare enhancing. In this view, participation in a reformed Latin American pension system should lead to acceptance of neoliberalism when pensions returns are high, but have the opposite effect when pension returns are low. I find support for this theory in analyses of multiple datasets of Latin American survey data.

This data and code accompanies the paper Robson, O'Donnell and Van Ourti (2025), "Responsibility-Sensitive Welfare Weights for Health". In the paper, we design and run an online experiment, with a sample of the UK adult population, to estimate responsibility-sensitive welfare weights for health that facilitate inequality- and inequity-sensitive policy evaluation. Here, we provide data and code to enable replication of the experiment and analysis. The Experiment folder contains an R-Shiny app to run our experiment. The R folder contains experimental data, estimated preference parameters, and analytical code to reproduce our analysis and estimate preference parameters. The Stata folder contains experimental data and analytical code to reproduce our analysis. The Welfare Weights folder contains an RData file, which includes the estimated preference parameters, and an R script file, which includes a function that allows others to use our estimated preference parameters to estimate Social Marginal Welfare Weights, which can be used in health policy evaluation. Please contact us if you have any questions.

This comparative project (UK, Japan, Germany, US & New Zealand) examined how governments prepare citizens for collapse in the Critical National Infrastructure (CNI); how they model collapse and population response; case studies of CNI collapse (with particular reference to health and education) and the globalisation of CNI policy. It was funded by the Economic and Social Research Council under grant reference ES/K000233/1. It considered:- 1. How is the critical infrastructure defined and operationalised in different national contexts? How is population response defined, modelled and refined in the light of crisis? 2. What are the most important comparative differences between countries with regard to differences in mass population response to critical infrastructure collapse? 3. To what degree are factors such as differences in national levels of trust, degrees of educational or income inequality, social capital or welfare system differences particularly in the education and health systems significant in understanding differential population response to critical infrastructure collapse? 4. How can a comparative understanding of mass population response to critical infrastructure collapse help us to prepare for future crisis? Research design and methodology Methodologically the study was focused on national systems in developed countries. The focus was on different 'welfare regimes' being broadly liberal market economies (the UK, US and New Zealand) and broadly centralised market economies (Germany and Japan). The data arising from the project was of various types including interviews, focus groups, archival data and documentary evidence. The 'National Infrastructure' is seldom out of the news. Although the infrastructure is not always easy to define it includes things such as utilities (water, energy, gas), transportation systems and communications. We often hear about real or perceived threats to the infrastructure. In this research we will construct 'timelines' of infrastructure protection policy and mass population response to see exactly how and why policy changes in countries over time. We will select a range of countries to represent different political and social factors (US, UK, New Zealand, Japan and Germany). The analysis of these timelines will suggest why national infrastructure policy changes over time. We will then test our results using case studies of actual disasters and expert groups of policy makers across countries. Ultimately this will help us to understand national infrastructure protection changes over time, what drives such changes and the different ways in which countries prepare themselves for infrastructure threats. In addition, through a series of 'leadership activities' the research will bring together researchers in different academic disciplines and people from the public, private and third sectors. The methodology used was to enable an understanding of how countries had developed strategies of mass population response to critical infrastructure failure. The methods were:- 1. Archival research using data in country archives from 1945 to the present day on population response (planned and actual to disasters) 2. Focus groups and interviews with selected experts to enable us to further understand the data in (1). 3. Case studies of actual infrastructure failures - summary notes were prepared from documentary evidence on disasters.

KAV 8257 cover memo. Visit https://dataone.org/datasets/sha256%3A614c8e3dae4bf5568fd564569c4fcc8df558c03cdc471ff605e4e353283c144b for complete metadata about this dataset.

The burden of animal disease is widespread globally and is especially severe for developing countries dependent on livestock production. Ethiopia has the largest livestock population in Africa and the second-largest human population on the continent. Ethiopia is one of the fastest-growing economies in Africa; however, much of the population still lives in extreme poverty, and most households depend on agriculture. Animal disease negatively affects domestic livestock production and limits growth potential across the domestic agricultural supply chain. This research investigates the economic effects of livestock disease burden in Ethiopia by employing a computable general equilibrium model in tandem with animal health loss estimates from a compartmental livestock population model. Two scenarios for disease burden are simulated to understand the effects of improved animal health on domestic production, prices, trade, gross domestic product (GDP), and economic welfare in Ethiopia. Results show that improved animal health may increase Ethiopian GDP by up to 3.6%, which improves national welfare by approximately $US 2.5 billion. This research illustrates the economic effects of improved livestock health, which is critical for Ethiopian households and the national economy.

KAV 8262 First signed 09/24/2007 Last signed 09/24/2007 Entry into force (supplemented by last signed) 09/24/2007 CAR 2007-246 stamped 07-246 C06572416 cover memo

Share-weighted changes in production by GTAP sector by scenario.

Changes in GDP and welfare measured by equivalent variation.

2020 gross production value in Ethiopia and Africa (US$ 1,000).