Pobreza en Perú: alertan fallas en nuevo índice oficial

The article critiques Peru’s new Multidimensional Poverty Index (IPM), warning that its current design risks creating ineffective and biased public policies. Experts argue that excluding critical factors such as child anemia and citizen safety leads to a distorted view of reality, potentially masking worsening social conditions despite official claims of poverty reduction. This highlights the urgent need for a robust methodology that accurately reflects structural deprivations beyond mere income levels. A central concern is the lack of institutional independence in the index's creation. Since the Ministry of Social Development (MIDIS), which designs social policies, is directly overseeing the methodology through the National Institute of Statistics and Informatics (INEI), there is a significant risk of conflict of interest. Transparency requires that the technical body responsible for data collection maintains autonomy from policy designers, ensuring that indicator selection remains objective and free from political manipulation. This case is vital for open data advocates because it illustrates the dangers of opaque methodologies and the politicization of statistical data. For open data to drive effective governance, datasets must be complete, methodologies must be transparent and technically independent, and indicators must comprehensively represent societal well-being. Without these safeguards, open data initiatives may inadvertently legitimize flawed policies that fail to address the true scope of inequality and vulnerability.

Source: stakeholders.com.pe
Published on 2025-02-21

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