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| Registros recuperados: 87 | |
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| Van Iseghem, Sylvie; Quillerou, Emmanuelle; Brigaudeau, Cecile; Macher, Claire; Guyader, Olivier; Daures, Fabienne. |
| Since 2001, Ifremer has implemented an economic data collection programme (EDCP) within the Data Collection Framework of the EU. It aims to obtain economic data from a sample of vessels representative of the entire French fishing fleet. This paper presents the strategies used for vessel sampling selection in the French EDCP and its implementation over several consecutive years. The approach is illustrated by the sampling plan for the fleet in the North Sea Channel Atlantic region. We show that the EDCP allows precise economic indicators such as gross revenue or fuel costs to be estimated for the whole fishing fleet, including small vessels (< 10 m), and consequently, it facilitates sound scientific advice regarding the Common Fisheries Policy. The... |
| Tipo: Text |
Palavras-chave: Data collection; Economic indicators; Fishery-dependent information; Panel data; Sampling; Small vessels; Statistical precision. |
| Ano: 2011 |
URL: http://archimer.ifremer.fr/doc/00043/15419/12958.pdf |
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| Keng, Shao-Hsun; Huffman, Wallace E.. |
| Health, like schooling, is a form of human capital and can be expected to be positively related to labor productivity and labor supply. The production of good health and labor productivity, however, sometimes competes with an individual's lifestyle, e.g., binge drinking. In this study, an individual's health has three dimensions: current health status, binge drinking which is an unhealthy lifestyle, and stature or mature height which is a young adult's health endowment. This study presents and fits a dynamic model of an individual's demand for health, demand for binge drinking, labor supply, and wage or demand for labor equations to NLSY 1979 cohort panel data of young people. We find that binge drinking has a negative but insignificant effect on the... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Health; Labor productivity; Labor supply; Binge drinking; Youth; Panel data; Rational addiction; Human capital; Health Economics and Policy; Labor and Human Capital. |
| Ano: 1999 |
URL: http://purl.umn.edu/18252 |
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| Kotakou, Christina A.. |
| This article examines the effects of the application of panel data estimation methods on a system of equations with unbalanced panel data. We apply pooled, random-effects, and fixed-effects estimation in three data sets: small, medium, and large farms to examine the relationship between farm size and the elasticity of cotton supply with respect to cotton price. Our results indicate that the adoption of various estimation methods entails different estimated parameters both in terms of their absolute value and in terms of their statistical significance. Additionally, the elasticity of cotton supply with respect to price varies according to farm size. |
| Tipo: Journal Article |
Palavras-chave: Farm size; Panel data; Supply elasticity; Systems of equations; Demand and Price Analysis; C33; D21; Q18. |
| Ano: 2011 |
URL: http://purl.umn.edu/100637 |
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| Parikh, Ashok. |
| The objectives of this paper are to study the impact of liberalisation on trade deficits and current accounts of developing countries. It is expected that trade liberalisation would promote economic growth from the supply side by leading to a more efficient use of resources, by encouraging competition, and by increasing the flow of ideas and knowledge across national boundaries. Trade liberalisation could lead to faster import growth than export growth and hence the supply side benefits may be offset by the unsustainable balance of payments position. This study uses panel data of 42 countries (both time-series and cross-section dimension) to estimate the effect of trade liberalisation and growth on trade balance while controlling for other factors such as... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Panel data; Income Terms of Trade; Dynamic Optimisation; Dynamic panel model; International Relations/Trade; C21; C22; C23; F13; F14; F32. |
| Ano: 2004 |
URL: http://purl.umn.edu/26212 |
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| Culas, Richard J.; Mahendrarajah, Mahen. |
| Farm planning generally focuses on optimal diversification with respect to risk and uncertainties, where the risk-management strategies combine production, marketing, financial and environmental responses of the production of farm firm. In this study an empirical examination of farm diversification has been carried out from a sample of farms in Eastern Norway in which four measures of diversification (indices) were defined to incorporate the risk and uncertainties in relation to farm production (total) income. Using these four alternative measures of diversification and panel-data techniques, it has been shown that larger farms are more diversified, and when there is productive location and access to labour the farmers have a greater incentive to spread... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Farm diversification; Risk and uncertainty; Environmental management; Panel data; Agribusiness; C23; Q12; Q20. |
| Ano: 2005 |
URL: http://purl.umn.edu/24647 |
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| Miyata, Sachiko; Sawada, Yasuyuki. |
| This study examines the factors that influenced poor Indonesian farmers to invest in floating net aquaculture after being relocated due to a reservoir construction project. To compare three primary decision factors, credit accessibility, risk attitudes, and social learning, (i.e., learning effects from others experience), we analyze 16 years of socio-economic retrospective data collected in the field interviews exclusively for this study. Our analysis reveals that credit accessibility and risk attitudes are the most important factors that influence the rate of aquaculture investment. Social learning as well as household education also influences the investment decision significantly. Our results suggest that developmen t projects that involve voluntary... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Household investment decision; Credit constraints; Risk attitudes; Social learning; Panel data; Farm Management; D1; D8; D12; Q22. |
| Ano: 2006 |
URL: http://purl.umn.edu/25669 |
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| Registros recuperados: 87 | |
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