4 resultados para US GAAP

em Universidad del Rosario, Colombia


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Larry Johnson, Presidente del New Media Consortium y fundador del proyecto “Horizon”, presentó, en el marco del V Encuentro Nacional de Rectores, la ponencia “The Network is Us”. Una exposición en donde se explica la importancia de implementar las nuevas tecnologías en el desarrollo académico de los colegios y las universidades.

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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 use annual data on capital’s share and relative factor prices from 35 US industries from 1960 to 2005 to test the induced innovation hypothesis. We derive, from a production function framework, testable implications for the effect of contemporaneous and lagged factor price ratios on capital’s share of production. The predicted effect is positive or negative depending on the elasticity of substitution between labor and capital. From panel regressions, the estimated effect of the contemporaneous factor price ratio implies an elasticity of substitution that is less than unity, consistent with the consensus from the literature. Based on this, our negative estimated effects for lagged price ratios are both statistically significant and consistent with the induced innovation hypothesis.

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In this paper we use the most representative models that exist in the literature on term structure of interest rates. In particular, we explore affine one factor models and polynomial-type approximations such as Nelson and Siegel. Our empirical application considers monthly data of USA and Colombia for estimation and forecasting. We find that affine models do not provide adequate performance either in-sample or out-of-sample. On the contrary, parsimonious models such as Nelson and Siegel have adequate results in-sample, however out-of-sample they are not able to systematically improve upon random walk base forecast.