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Causal inference : the mixtape / Scott Cunningham

Por:

Cunningham, Scott

Idioma: Inglés Editor: New Haven ; Londres : Yale University Press, 2021Descripción: ix, 572 pages : illustrations ; 22 cmTipo de contenido:

texto

Tipo de medio:

no mediado

Tipo de soporte:

volumen

ISBN:

978-0-300-25168-5

Tema(s):

Clasificación CDD:

300.72 C917c 23a ed.

Recursos en línea:

Haga clic para acceso en línea

Resumen: An accessible and contemporary introduction to the methods for determining cause and effect in the social sciences Causal inference encompasses the tools that allow social scientists to determine what causes what. Economists--who generally can't run controlled experiments to test and validate their hypotheses--apply these tools to observational data to make connections. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied, whether the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the introduction of malaria nets in developing regions on economic growth. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and Stata programming languages. - -

Existencias
Tipo de ítem	Biblioteca actual	Colección	Signatura topográfica	Estado	Notas	Fecha de vencimiento	Código de barras	Reserva de ítems
Recursos Electrónicos	Sede Quito	Col General	300.72 C917c (Navegar estantería(Abre debajo))	Disponible	Disponible en Biblioteca Digital PUCE
Libro	Sede Quito Planta baja	Col General	300.72 C917c (Navegar estantería(Abre debajo))	Disponible			PUCE211087

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Previo								Siguiente
Previo	300.72 C81m 2007 Metodología y técnicas de investigación social /	300.72 C81m 2007 Metodología y técnicas de investigación social /	300.72/C889i Investigación y teoría : tensiones y rejuegos	300.72 C917c Causal inference :	300.72/Ch42p/2015 Practical program evaluation :	300.72/D138q Quality : from Plato to Performance	300.72 D438m Manual de investigación cualitativa /	Siguiente

Incluye referencias bibliográficas (páginas 541-553) e índice

An accessible and contemporary introduction to the methods for determining cause and effect in the social sciences Causal inference encompasses the tools that allow social scientists to determine what causes what. Economists--who generally can't run controlled experiments to test and validate their hypotheses--apply these tools to observational data to make connections. In a messy world, causal inference is what helps establish the causes and effects of the actions being studied, whether the impact (or lack thereof) of increases in the minimum wage on employment, the effects of early childhood education on incarceration later in life, or the introduction of malaria nets in developing regions on economic growth. Scott Cunningham introduces students and practitioners to the methods necessary to arrive at meaningful answers to the questions of causation, using a range of modeling techniques and coding instructions for both the R and Stata programming languages. - -

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