Causal Analysis in Population Studies: Concepts, Methods, Applications (Springer Series on Demographic Methods and Population Analysis 23) (The . Demographic Methods and Population Analysis)
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1
Causal Analysis in Population Studies: Concepts, Methods, Applications (The Springer Series on Demographic Methods and Population Analysis) (2010)
EN PB USISBN: 9789048182329 bzw. 9048182328, in Englisch, 252 Seiten, Springer, Taschenbuch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, Herb Tandree Philosophy Bks.
The central aim of many studies in population research and demography is to explain cause-effect relationships among variables or events. For decades, population scientists have concentrated their efforts on estimating the ‘causes of effects’ by applying standard cross-sectional and dynamic regression techniques, with regression coefficients routinely being understood as estimates of causal effects. The standard approach to infer the ‘effects of causes’ in natural sciences and in psychology is to conduct randomized experiments. In population studies, experimental designs are generally infeasible. In population studies, most research is based on non-experimental designs (observational or survey designs) and rarely on quasi experiments or natural experiments. Using non-experimental designs to infer causal relationships―i.e. relationships that can ultimately inform policies or interventions―is a complex undertaking. Specifically, treatment effects can be inferred from non-experimental data with a counterfactual approach. In this counterfactual perspective, causal effects are defined as the difference between the potential outcome irrespective of whether or not an individual had received a certain treatment (or experienced a certain cause). The counterfactual approach to estimate effects of causes from quasi-experimental data or from observational studies was first proposed by Rubin in 1974 and further developed by James Heckman and others. This book presents both theoretical contributions and empirical applications of the counterfactual approach to causal inference., Paperback, Ausgabe: Softcover reprint of hardcover 1st ed. 2009, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2010-12-13, Studio: Springer, Verkaufsrang: 12113671.
Von Händler/Antiquariat, Herb Tandree Philosophy Bks.
The central aim of many studies in population research and demography is to explain cause-effect relationships among variables or events. For decades, population scientists have concentrated their efforts on estimating the ‘causes of effects’ by applying standard cross-sectional and dynamic regression techniques, with regression coefficients routinely being understood as estimates of causal effects. The standard approach to infer the ‘effects of causes’ in natural sciences and in psychology is to conduct randomized experiments. In population studies, experimental designs are generally infeasible. In population studies, most research is based on non-experimental designs (observational or survey designs) and rarely on quasi experiments or natural experiments. Using non-experimental designs to infer causal relationships―i.e. relationships that can ultimately inform policies or interventions―is a complex undertaking. Specifically, treatment effects can be inferred from non-experimental data with a counterfactual approach. In this counterfactual perspective, causal effects are defined as the difference between the potential outcome irrespective of whether or not an individual had received a certain treatment (or experienced a certain cause). The counterfactual approach to estimate effects of causes from quasi-experimental data or from observational studies was first proposed by Rubin in 1974 and further developed by James Heckman and others. This book presents both theoretical contributions and empirical applications of the counterfactual approach to causal inference., Paperback, Ausgabe: Softcover reprint of hardcover 1st ed. 2009, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2010-12-13, Studio: Springer, Verkaufsrang: 12113671.
2
Causal Analysis in Population Studies: Concepts, Methods, Applications (The Springer Series on Demographic Methods and Population Analysis) (2010)
EN PB NW RPISBN: 9789048182329 bzw. 9048182328, in Englisch, 252 Seiten, Springer, Taschenbuch, neu, Nachdruck.
Neu ab: $190.77 (13 Angebote)
Gebraucht ab: $143.03 (5 Angebote)
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Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 24 hours.
Von Händler/Antiquariat, Amazon.com.
The central aim of many studies in population research and demography is to explain cause-effect relationships among variables or events. For decades, population scientists have concentrated their efforts on estimating the ‘causes of effects’ by applying standard cross-sectional and dynamic regression techniques, with regression coefficients routinely being understood as estimates of causal effects. The standard approach to infer the ‘effects of causes’ in natural sciences and in psychology is to conduct randomized experiments. In population studies, experimental designs are generally infeasible. In population studies, most research is based on non-experimental designs (observational or survey designs) and rarely on quasi experiments or natural experiments. Using non-experimental designs to infer causal relationships―i.e. relationships that can ultimately inform policies or interventions―is a complex undertaking. Specifically, treatment effects can be inferred from non-experimental data with a counterfactual approach. In this counterfactual perspective, causal effects are defined as the difference between the potential outcome irrespective of whether or not an individual had received a certain treatment (or experienced a certain cause). The counterfactual approach to estimate effects of causes from quasi-experimental data or from observational studies was first proposed by Rubin in 1974 and further developed by James Heckman and others. This book presents both theoretical contributions and empirical applications of the counterfactual approach to causal inference., Paperback, Ausgabe: Softcover reprint of hardcover 1st ed. 2009, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2010-12-13, Studio: Springer, Verkaufsrang: 11277324.
Von Händler/Antiquariat, Amazon.com.
The central aim of many studies in population research and demography is to explain cause-effect relationships among variables or events. For decades, population scientists have concentrated their efforts on estimating the ‘causes of effects’ by applying standard cross-sectional and dynamic regression techniques, with regression coefficients routinely being understood as estimates of causal effects. The standard approach to infer the ‘effects of causes’ in natural sciences and in psychology is to conduct randomized experiments. In population studies, experimental designs are generally infeasible. In population studies, most research is based on non-experimental designs (observational or survey designs) and rarely on quasi experiments or natural experiments. Using non-experimental designs to infer causal relationships―i.e. relationships that can ultimately inform policies or interventions―is a complex undertaking. Specifically, treatment effects can be inferred from non-experimental data with a counterfactual approach. In this counterfactual perspective, causal effects are defined as the difference between the potential outcome irrespective of whether or not an individual had received a certain treatment (or experienced a certain cause). The counterfactual approach to estimate effects of causes from quasi-experimental data or from observational studies was first proposed by Rubin in 1974 and further developed by James Heckman and others. This book presents both theoretical contributions and empirical applications of the counterfactual approach to causal inference., Paperback, Ausgabe: Softcover reprint of hardcover 1st ed. 2009, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2010-12-13, Studio: Springer, Verkaufsrang: 11277324.
3
Causal Analysis in Population Studies: Concepts, Methods, Applications (2010)
EN PB NW RPISBN: 9789048182329 bzw. 9048182328, in Englisch, 252 Seiten, Springer, Taschenbuch, neu, Nachdruck.
Neu ab: CDN$ 239.97 (9 Angebote)
Gebraucht ab: CDN$ 443.00 (1 Angebote)
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Lieferung aus: Kanada, Usually ships within 1 - 2 business days, Tatsächliche Versandkosten können abweichen.
Von Händler/Antiquariat, Book Depository CA.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Book Depository CA.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
4
Causal Analysis in Population Studies: Concepts, Methods, Applications (Springer Series on Demographic Methods and Population Analysis 23) (The . Demographic Methods and Population Analysis) (2010)
EN PB USISBN: 9789048182329 bzw. 9048182328, in Englisch, 260 Seiten, Springer, Taschenbuch, gebraucht.
Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen.
Von Händler/Antiquariat, Herb Tandree Philosophy Books.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Herb Tandree Philosophy Books.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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