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on Central and South America |
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Issue of 2014‒03‒22
three papers chosen by |
| By: | durongkaveroj, wannaphong |
| Abstract: | The purposes of this study were to present the current situation of poverty, economic growth, and economic development for five selected countries in Latin America and to examine the relationship between poverty, economic growth, and economic development through traditional log-linear regression model for panel data analysis. The result from fixed effect model suggested that economic development is more effective and preferable than economic growth in eradicating of poverty. Policy issued aimed at raising citizen's living standard should shed on income, health, and education simultaneously instead of standard improvement in income level merely. |
| Keywords: | economic development, economic growth, poverty, |
| JEL: | C10 I32 O15 O20 |
| Date: | 2014–03–15 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:54481&r=lam |
| By: | Hernán Enríquez (Escuela de Economía, Universidad Sergio Arboleda, Bogota, Colombia); Dusan Paredes Araya (IDEAR - Department of Economics, Universidad Católica del Norte - Chile) |
| Abstract: | Este trabajo estima el diferencial de ingresos entre migrantes y locales en la ciudad de Bogotá, Colombia. Usando metodos de emparejamiento, los resultados indican que los inmigrantes obtienen, en promedio, el mismo ingreso que los nativos con similar edad, género, escolaridad y nivel educativo. Bajo el modelo propuesto para explicar los diferenciales de salarios entre los grupos de población, se concluye que el aumento de inmigrantes a la ciudad, independiente de su nivel de calificación, solo aumenta la oferta de empleo y no influye en variaciones de ingresos por cuenta de la entrada de inmigrantes a la ciudad. |
| Keywords: | Migración interregional, diferencial de ingreso, Propensity Score Matching, Bogotá. |
| Date: | 2014–03 |
| URL: | http://d.repec.org/n?u=RePEc:cat:dtecon:dt201402&r=lam |
| By: | Ignacio Lozano; Alexander Guarín |
| Abstract: | In this paper, we study the empirical relationship between credit funding sources and the financial vulnerability of the Colombian banking system. We propose a statistical model to measure and predict banking-fragility episodes associated with credit funding sources classified into retail deposits and wholesale funds. We compute the probability of financial fragility for both the aggregated banking system and the individual banks. Our approach performs a Bayesian averaging of estimated logit regression models with monthly balance sheet data between 1996 and 2013. The results show the increasing use of wholesale funding to support credit expansion is a potential source of financial fragility. Therefore, monitoring credit funding sources could provide an additional tool to warn against banking disruptions. Classification JEL: C11, C23, C52, C53, G01, G20, G21 |
| Date: | 2014–03 |
| URL: | http://d.repec.org/n?u=RePEc:bdr:borrec:813&r=lam |