Econometric Analysis in Poverty Research

Understanding stunting in Peruvian children: A multilevel analysis.

“…So, the assumption o f a strictly linear effect on the response variable (height for age z-score) may not be be appropriate for all the cases. In the case of the present research I find similarities to Grab (2009) and Marini & Gragnolaty (2006), where there are nonlinear trends between the height for age z-score for Peruvian children under five years old, and the variables breastfeeding and geographic altitude.…”

“…Also, Grab (2009) analyzes and points out that the nonlinearity relationship between some o f the predictor variables with the response variable is one o f the challenging situations that researchers in malnutrition in children must be face. So, the assumption o f a strictly linear effect on the response variable (height for age z-score) may not be be appropriate for all the cases.…”

“…For instance, considering cultural barriers such as those addressed by Grab (2009) may shed light on the use of health services as related to child growth.…”

Altitude and Distance Relationships with the Multidimensional Poverty Index: The case of Peru

“…Therefore, the introduction of spatial econometrics methodologies is justified by the empirical evidence. Among the international literature, we have Gräb (2009) and Gräb and Grimm (2011), who study the source of income variance in Burkina Faso, which mainly comes from heterogeneity among households rather than provinces and communities. Similarly, Akinyemi and Bigirimana (2012) studies the living conditions in Kigali, Rwanda, by analyzing income, health, education, and access to services through 10 indicators and using the Geographic Information System (GIS) as the main tool of analysis.…”