Cities between Competitiveness and Cohesion

Name: Cities between Competitiveness and Cohesion
Brand: Springer-Verlag New York Inc.
SKU: 9781402082405
Price: 61320 HUF
Availability: InStock

Discourses, Realities and Implementation

Szerző: Peter Ache

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten alacsony példányszámban

Küldés 11-15 napon belül

61 320 Ft

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

Információk a könyvről

Szerző

Peter Ache

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2008

oldal

306

EAN

9781402082405

ISBN

1402082401

Enbook ID

04194701

Kiadó

Springer-Verlag New York Inc.

Súly

1390

Méretek

155 x 235 x 23

Teljes leírás

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

Információk a könyvről

Teljes leírás

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