U.S. Farm Income Outlook for 2015

[Excerpt] The U.S. farm sector is vast and varied. It encompasses production activities related to traditional field crops (such as corn, soybeans, wheat, and cotton) and livestock and poultry products (including meat, dairy, and eggs), as well as fruits, tree nuts, and vegetables. In addition, U.S. agricultural output includes greenhouse and nursery products, forest products, custom work, machine hire, and other farm-related activities. The intensity and economic importance of each of these activities, as well as their underlying market structure and production processes, vary regionally based on the agro-climatic setting, market conditions, and other factors. As a result, farm income and rural economic conditions may vary substantially across the United States. However, this report focuses singularly on aggregate national net farm income and the status of the farm debt-to-asset ratio as reported by the U.S. Department of Agriculture (USDA). Annual U.S. net farm income is the single most watched indicator of farm sector well-being, as it captures and reflects the entirety of economic activity across the range of production processes, input expenses, and marketing conditions that have persisted during a specific time period. When national net farm income is reported together with a measure of the national farm debt-to-asset ratio, the two summary statistics provide a quick indicator of the economic well-being of the national farm economy

U.S. Farm Income Outlook for 2016

[Excerpt] The U.S. farm sector is vast and varied. It encompasses production activities related to traditional field crops (such as corn, soybeans, wheat, and cotton) and livestock and poultry products (including meat, dairy, and eggs), as well as fruits, tree nuts, and vegetables. In addition, U.S. agricultural output includes greenhouse and nursery products, forest products, custom work, machine hire, and other farm-related activities. The intensity and economic importance of each of these activities, as well as their underlying market structure and production processes, vary regionally based on the agro-climatic setting, market conditions, and other factors. As a result, farm income and rural economic conditions may vary substantially across the United States. However, this report focuses singularly on aggregate national net farm income and the status of the farm debt-to-asset ratio as reported by the U.S. Department of Agriculture’s (USDA) Economic Research Service (ERS)

Inequalities in Secondary School Attendance in Germany

In Germany, children are sorted into differently prestigious school types according to their ability at the end of primary schooling, normally at age 10. This early decision about children’s future schooling cannot be easily corrected. However, secondary school attendance has a huge impact on future career options, so that equality in pupils’ distribution to differential school types is important. This paper examines the impact of social and economic background on children’s school type if ability is held constant. The analysis is based on national data taken from two surveys of learning achievement, the Third International Mathematics and Science Study (TIMSS) and the Programme of International Student Assessment (PISA). These data reveal that a large share of pupils in less prestigious school types would fit perfectly well in better school types given their measured ability. Children from rural areas, pupils from lower socio-economic backgrounds and boys in general have a significantly lower probability of being selected to the most academic school track even when their ability is similar to that of their urban and better socially placed counterparts. <br/

Gender Equality in Educational Achievement An East-West Comparison

Data on educational access show gender parity of pupils attending primary and secondary schools in transition countries. The aim of this analysis is to examine whether the gender balance in educational access translates also into gender equality in educational achievement. Besides a comparison of gender differences in mean achievement for transition and a benchmark group of OECD countries differences in boys’ and girls’ achievement distributions and determinants of gender inequality are examined. The reliability of results is increased by carrying out the analyses with three different educational achievement surveys: the Trends in International Maths and Science Study (TIMSS), the Programme of International Student Assessment (PISA) and the Programme of International Reading Literacy Study (PIRLS)

Inequality of Learning amongst Immigrant Children in Industrialised Countries

Literature examining immigrants’ educational disadvantage across countries focuses generally on average differences in educational outcomes between immigrants and natives disguising thereby that immigrants are a highly heterogeneous group. The aim of this paper is to examine educational inequalities among immigrants in eight high immigration countries: Australia, Canada, Germany, New Zealand, Sweden, Switzerland, UK and USA. Results indicate that for almost all countries immigrants’ educational dispersion is considerably higher than for natives. For most countries higher educational dispersion derives from very low achieving immigrants. Quantile regression results reveal that at lower percentiles language skills impact more on educational achievement than at the top of the achievement distribution. Results are presented separately for immigrants of different age cohorts, varying time of immigrants’ residence in the host country and subject examined (maths and reading) highlighting thereby the different patterns found by immigrant group and achievement measure.education, educational inequalities, immigration, PISA, TIMSS, PIRLS

UK households' carbon footprint: a comparison of the association between household characteristics and emissions from home energy, transport and other goods and services

Does the association between household characteristics and household CO2 emissions differ for different areas such as home energy, transport, indirect and total emissions in the UK? Specific types of households might be more likely to have high emissions in some areas than in others and thus be affected differently by climate mitigation policies that target these areas.Using the Living Costs and Food Survey and Expenditure and Food Survey for the years 2006 to 2009, this paper compares how household characteristics like income, household size, rural/urban location and education level differ in their association with home energy, transport, indirect and total emissions. We find that the association between household characteristics and emissions differs considerably across these areas, particularly for income, education, the presence of children, female headed, workless and rural households. We also test the implicit assumption in the literature that the association between household characteristics and CO2 emission is constant across the CO2 emission distribution using quantile regressions and compare results for poor and rich households. The analysis considers policy implications of these findings throughout

Educational achievement in English-speaking countries: do different surveys tell the same story?

International surveys of educational achievement are typically analysed in isolation from each other with no indication as to whether new results confirm or contradict those from earlier surveys. The paper pulls together results from four surveys to compare average levels of achievement, inequality of achievement, and the correlates of achievement (especially family background) among the six English-speaking OECD countries and between them and countries from Continental Europe. Our aim is to see whether a robust pattern emerges across the different sources: the Trends in International Maths and Science Study (TIMSS), the Programme of International Student Assessment (PISA), the Programme of International Reading Literacy Study (PIRLS) and the International Adult Literacy Survey (IALS)

Inequality of learning amongst immigrant children in industrialised countries

Literature examining immigrants' educational disadvantage across countries focuses generally on average differences in educational outcomes between immigrants and natives disguising thereby that immigrants are a highly heterogeneous group. The aim of this paper is to examine educational inequalities among immigrants in eight high immigration countries: Australia, Canada, Germany, New Zealand, Sweden, Switzerland, UK and USA. Results indicate that for almost all countries immigrants' educational dispersion is considerably higher than for natives. For most countries higher educational dispersion derives from very low achieving immigrants. Quantile regression results reveal that at lower percentiles language skills impact more on educational achievement than at the top of the achievement distribution. Results are presented separately for immigrants of different age cohorts, varying time of immigrants' residence in the host country and subject examined (maths and reading) highlighting thereby the different patterns found by immigrant group and achievement measure. --Education,educational inequalities,immigration,PISA,TIMSS,PIRLS

Gender differences in charitable giving

The predominant part of the literature states that women are more likely to donate to charitable causes but men are more generous in terms of the amount given. The latter result generally derives from the focus on mean amount given. This paper examines gender differences in giving focusing on the distribution of amounts donated and the probability of giving using UK micro-data on individual giving to charitable causes. Results indicate that most women are more generous than men also in terms of the amounts donated. Quantile regression analysis shows that this pattern is robust if we take into account gender differences in individual characteristics such as household structure, education and income. The analysis also examines differences in gender preferences for varying charitable causes. For most of the paper, separate analyses are presented for single and married/cohabiting people, highlighting the very different gender patterns of giving behaviour found in the two groups

Expenditure as proxy for UK household emissions? Comparing three estimation methods

Due to a lack of emissions data at the household level, studies examining the relationship between UK household CO2 emissions and household characteristics currently rely on expenditure surveys to estimate emissions. There are several possible methods available for doing so but so far there is no discussion in the literature about the advantages and disadvantages related to these options. Such a comparison is relevant because studies in this area often draw policy-relevant conclusions.To address this gap, this paper compares three different methods of estimation to discuss two questions: first, is it at all necessary to convert household expenditure into emissions, given that household expenditure and emissions are strongly correlated, and does research that takes this approach add anything to the insights that already exist in the extensive literature on the determinants of household expenditure? Second, if we assume that it is necessary to convert household expenditure into emissions, are more detailed (and time-consuming) methods of doing so superior to less detailed approaches? The analysis is based on expenditure data from the UK Living Costs and Food Survey 2008-9 and its predecessor the Expenditure and Food Survey 2006-7