Cities between Competitiveness and Cohesion

Name: Cities between Competitiveness and Cohesion
Brand: Springer-Verlag New York Inc.
SKU: 9781402082405
Price: 3937 CZK
Availability: InStock

Discourses, Realities and Implementation

Autor: Peter Ache

Jazyk:

Vazba: Pevná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele v malém množství

Odesíláme za 11-15 dnů

3 937 Kč

The central aim of many analyses in population studies and demography is to explain cause-effect rel...

Informace o knize

Autor

Peter Ache

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2008

Stránek

306

EAN

9781402082405

ISBN

1402082401

Enbook ID

04194701

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

1390

Rozměry

155 x 235 x 23

Kompletní popis

The central aim of many analyses in population studies 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 (e.g. What accounts for the decline of fertility rates? ) 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 (e.g. What is the effect of women s labour force participation on fertility? ) in natural sciences and in psychology is to conduct randomised experiments. In population studies, experimental designs are unfeasible. Nevertheless, quasi or natural experiments are sometimes performed to estimate treatment effects. However, most research is based on non-experimental designs (also called observational or survey designs).§Inferring the effects of causes or treatment effects from other than experimental data is tricky. However, treatment effects can be inferred from non-experimental data with a counterfactual approach. In such a perspective, causal effects are defined as the difference between the potential outcome irrespective of whether or not an individual 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 (1974). Other important contributions include the work of James Heckman and collaborators and of Charles Manski and collaborators.

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Cities between Competitiveness and Cohesion

Discourses, Realities and Implementation

Informace o knize

Kompletní popis

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