25 resultados para agricultural labor


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We aim to contribute to the assessment of poverty impacts on the rural sector arising from agricultural policy adjustments in Colombia. For this we use an agriculture specialized static CGE model, jointly (sequentially) with a microsimulation model that allows for effective job relocation. Results indicate that the sectoral impact of the program implemented tends to be small and has considerable variability across crops. They also show that the highest impacts come from the irrigation and land improvements component of the program. Lastly, although it reduces poverty, poverty impacts are small and tend to concentrate in rural households toward the middle of the income distribution ladder.

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Measuring labor's share of an economy's aggregate income seems straightforward, at least in principle. Count up wage and salary income, along with the value of benefits provided to employees, and divide it by total income. However, one fundamental concept of labor's share in macroeconomic theory is not the amount of aggregate income paid out to labor. Rather, it is the share of aggregate production that is attributable to "raw" units of labor. Or, otherwise stated, it is the share of aggregate income that would have been paid to laborers if they had no accumulated stocks of human capital.1 This share corresponds to an aggregate production function parameter: the elasticity of output with respect to physical (i.e. non-augmented or raw) units of labor (Robert Solow, 1957). In this paper we estimate annual raw labor’s share for the US, 1949 to 1996.

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This is a critical review of the empirical literature on the relationship between violence and economic growth in Colombia: an interesting case study for social scientists studying violence, conflict, crime and development. We argue that, despite the rapid development of this literature and the increasing use of new techniques, there is still much room for research. After assessing the contribution of the most influential papers on the subject, we suggest directions for future research.

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The common assumptions that labor income share does not change over time or across countries and that factor income shares are equal to the elasticity of output with respect to factors have had important implications for economic theory. However, there are various theoretical reasons why the elasticity of output with respect to reproducible factors should be correlated with the stage of development. In particular, the behavior of international trade and capital flows and the existence of factor saving innovations imply such a correlation. If this correlation exists and if factor income shares are equal to the elasticity of output with respect to factors then the labor income share must be negatively correlated with the stage of development. We propose an explanation for why labor income share has no correlation with income per capita: the existence of a labor intensive sector which produces non tradable goods.

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This paper presents evidence of the effect of the recent phases of the business cycle in Spain and United States, proxied by their respective unemployment rates, on the labor market of Colombian cities with high migration tradition. These countries are the main destination for labor Colombian migrants. Using information from the household survey between 2006 and 2011 for urban areas in Colombia and a differences-in-differences approach we find that unemployment rates of those countries negatively affect the probability and the amount of remittances received by Colombian households living in areas with high and moderate migration tradition. At a second stage we provide evidence that unemployment rates of those countries positively affect the labor force participation decisions in Colombian regions with the highest migration tradition.

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We document the existence of a Crime Kuznets Curve in US states since the 1970s. As income levels have risen, crime has followed an inverted U-shaped pattern, first increasing and then dropping. The Crime Kuznets Curve is not explained by income inequality. In fact, we show that during the sample period inequality has risen monotonically with income, ruling out the traditional Kuznets Curve. Our finding is robust to adding a large set of controls that are used in the literature to explain the incidence of crime, as well as to controlling for state and year fixed effects. The Curve is also revealed in nonparametric specifications. The Crime Kuznets Curve exists for property crime and for some categories of violent crime.

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Al final de un experimento controlado, donde se contrataron asistentes de investigación para la codificación de noticias de los periódicos en línea durante un mes, el experimentador-empleador los invitó a lanzar un dado y reportar el resultado con el fin de pagar en efectivo una cantidad proporcional y lineal en el número reportado, de 1 a 6. Otro grupo (control) de estudiantes similares, fue invitado a realizar la misma tarea, pero sin tener relación laboral previa con el experimentador-empleador. Nuestro grupo de tratamiento mostró niveles promedio más altos de honestidad, ya que la distribución de los números reportados por estos fue menos sesgada a la derecha. Es decir, el grupo de relaciones de trabajo fue más propenso a reportar números que están más cerca de la distribución uniforme (honesta) que el grupo de control, y que otros estudios con este tipo de experimento. Se conjetura que la relación laboral del grupo de tratamiento indujo mayores niveles de honestidad entre los participantes. Una de las posibles razones es que la relación de trabajo creada para el grupo de estudiantes de tratamiento incluía una serie de choques que implicaba la posibilidad de desempleo involuntario, generando incentivos para que los estudiantes interpretaran la honestidad como un rasgo que podría ser valorado en el mercado de trabajo. Este artículo contribuye a la creciente literatura sobre la comprensión de los motivos de la honestidad y el engaño.

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This article examines the mismatch between labor supply and demand for educational qualificationsin the Uruguayan labor market during 2000-2009. It attempts to measure the phenomenonof under-qualification and overqualification by occupation type based on educational requirementfor each occupation. Following the previous literature, the empirical work concentrates onthe determinants of over-education and its impact on wages.

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How do resource booms affect human capital accumulation? We exploit time and spatial variation generated by the commodity boom across local governments in Peru to measure the effect of natural resources on human capital formation. We explore the effect of both mining production and tax revenues on test scores, finding a substantial and statistically significant effect for the latter. Transfers to local governments from mining tax revenues are linked to an increase in math test scores of around 0.23 standard deviations. We find that the hiring of permanent teachers as well as the increases in parental employment and improvements in health outcomes of adults and children are plausible mechanisms for such large effect on learning. These findings suggest that redistributive policies could facilitate the accumulation of human capital in resource abundant developing countries as a way to avoid the natural resources curse.