Los datos del INE desmontan el cálculo de fijos discontinuos inactivos de Yolanda Díaz
The publication reveals a significant distortion in official data on fixed-term discontinuous workers, arguing that the Ministry of Labour has presented inflated figures in its favour through a selective interpretation of microdata from the Labour Force Survey (EPA). Experts explain that the survey’s methodology, which relies on workers’ self-perception of whether they currently hold a job, omits many individuals who, although they have a contract, do not perceive it as active during periods of inactivity. This lack of administrative recognition by respondents leads to a structural underestimation in the official figures, concealing a considerable portion of the reality of seasonal employment. Furthermore, the analysis highlights that the figure cited by the Vice President deliberately excludes those who, while inactive, are actively seeking other employment, classifying them as unemployed despite maintaining labour ties. This methodological adjustment drastically reduces the number of workers in a state of unrequested inactivity. The relevance of this case for open data lies in the critical need to access and audit the original microdata, as published aggregate statistics can be manipulated or interpreted in a partial manner, obscuring the true scale of complex labour phenomena that complementary administrative data, such as those from the Public Employment Service (SEPE), capture more accurately. In conclusion, the discrepancy between different official sources demonstrates that statistical transparency is insufficient if not accompanied by open access to raw datasets. Without the ability to verify and reconstruct statistical series from the ground up, there is a risk that public policies will be based on selective narratives that downplay certain groups of labour vulnerability. This case underscores that the true value of open data lies in its capacity to counteract biased official interpretations, enabling civil society and academia to validate government information and demand accountability based on robust, unfiltered evidence.
Source: elmundo.esPublished on 2024-03-22
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