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- W56943480 abstract "RESUMEN Es muy habitual encontrar investigaciones publicadas que con los mismos datos llegan a resultados muy diferentes. Las tecnicas de regresion multiple y otros modelos matematicos no han cumplido su promesa de ser un metodo de evaluacion de las politicas publicas. En este articulo, se definen como ciencia basura los modelos de regresion que no han demostrado que funcionen con datos reales, distintos a los datos utilizados para originarlos. Muchos cientificos sociales han dedicado anos y anos a aprender y ensenar los modelos de regresion. Aun continuan utilizandolos para establecer relaciones causales que no estan justificadas por sus datos, pero que se repiten con frecuencia en los argumentos politicos. A estos argumentos los llamo los mitos de la regresion multiple. ABSTRACT It is quite common rival studies to be published using econometric methods to reach opposite conclusions about the same set of data. Multiple regression and other mathematical modeling techniques have simply not lived up to their promise as a method of evaluating the impact of public policies. Regression models that have not been demonstrated to work with fresh data, other than the data used to create them, are junk science. Many social scientists have devoted years to learning and teaching regression modeling. They continue to use regression to make causal arguments that are not justified by their data, but that get repeated over and over in policy arguments. I call these arguments the myths of multiple regression." @default.
- W56943480 created "2016-06-24" @default.
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- W56943480 date "2002-01-01" @default.
- W56943480 modified "2023-09-23" @default.
- W56943480 title "El modelo ecométrico como ciencia basura" @default.
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