La presente investigación se desarrolla en el ámbito del mercado micro financiero, donde en los últimos años presenta un crecimiento continuo como también la diversificación de productos enfocados en clientes de bajos estratos sociales. Dentro de las micro financieras que no están controladas por la Superintendencia de Banca y Seguros (SBS) y que pertenecen al Consorcio de Organizaciones Privadas de Promoción al Desarrollo de la Micro y Pequeña Empresa (COPEME), esta la micro financiera: Programas para la mujer incorporada (PROMUJER INC.), este programa apoya a las mujeres de escasos recursos con servicios financieros y no financieros. En la investigación se medirán los impactos sociales que el programa provoca en sus beneficiadas, dichos impactos serán medidos mediante la construcción del indicador internacional: fndice de desarrollo humano (IDH), este indicador mide el ade...

Like many regions of Peru, the Puno region is an area where there are no adequate working conditions, and this is reflected in indicators of occupation, unemployment and underemployment, all derived from non-compliance with labor rights. The general objective of the research is to prepare a multidimensional index of decent work in the Puno region, specifically, the aim is to assess the conditions of job vulnerability and estimate the factors that explain the presence of decent work. We worked with the ENAHO survey, taking as analysis only the occupied PEA. The multidimensional index was developed using principal component analysis. For the estimation of the determining factors that explain the presence of decent work, the ordered multinomial logit model was used. The multidimensional decent work index for the Puno region in the period 2013-2017 resulted in 0,33 - vulnerable work category...

Like many regions of Peru, the Puno region is an area where there are no adequate working conditions, and this is reflected in indicators of occupation, unemployment and underemployment, all derived from non-compliance with labor rights. The general objective of the research is to prepare a multidimensional index of decent work in the Puno region, specifically, the aim is to assess the conditions of job vulnerability and estimate the factors that explain the presence of decent work. We worked with the ENAHO survey, taking as analysis only the occupied PEA. The multidimensional index was developed using principal component analysis. For the estimation of the determining factors that explain the presence of decent work, the ordered multinomial logit model was used. The multidimensional decent work index for the Puno region in the period 2013-2017 resulted in 0,33 - vulnerable work category...

Like many regions of Peru, the Puno region is an area where there are no adequate working conditions, and this is reflected in indicators of occupation, unemployment and underemployment, all derived from non-compliance with labor rights. The general objective of the research is to prepare a multidimensional index of decent work in the Puno region, specifically, the aim is to assess the conditions of job vulnerability and estimate the factors that explain the presence of decent work. We worked with the ENAHO survey, taking as analysis only the occupied PEA. The multidimensional index was developed using principal component analysis. For the estimation of the determining factors that explain the presence of decent work, the ordered multinomial logit model was used. The multidimensional decent work index for the Puno region in the period 2013-2017 resulted in 0,33 - vulnerable work category...

Like many regions of Peru, the Puno region is an area where there are no adequate working conditions, and this is reflected in indicators of occupation, unemployment and underemployment, all derived from non-compliance with labor rights. The general objective of the research is to prepare a multidimensional index of decent work in the Puno region, specifically, the aim is to assess the conditions of job vulnerability and estimate the factors that explain the presence of decent work. We worked with the ENAHO survey, taking as analysis only the occupied PEA. The multidimensional index was developed using principal component analysis. For the estimation of the determining factors that explain the presence of decent work, the ordered multinomial logit model was used. The multidimensional decent work index for the Puno region in the period 2013-2017 resulted in 0,33 - vulnerable work category...