This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Estimation of causal effects of fertility on economic wellbeing:Evidence from rural Vietnam

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Arnestein Aassve (Institute of Quantitative Methods, Bocconi University)
Bruno Arpino () (University of Florence)
Abstract

Estimating the effects of demographic events on households’ living standards introduces a range of statistical issues. In this paper we analyze this topic considering our observational study as a quasi-experiment in which the treatment is expressed by childbearing events between two time points and the outcome is the change in equivalized household consumption expenditure. Our main question concerns how one can best estimate causal effects of demographic events on households’ economic wellbeing. We first provide a brief discussion of different methods for causal inference stressing their differences with respect to the underlying assumptions and data requirement. In particular, we contrast methods relying on the Uncounfoundedness Assumption (UNA), such as regressions and propensity score matching, with methods allowing for selection on unobservables, such as the Instrumental Variable (IV) estimators. We stress the fact that these methods are not equivalent in what they estimate. With Regressions and Propensity Score Matching (PSM) we can identify and estimate the Average Treatment Effect (ATE) and the Average Treatment effect on the Treated (ATT), while IV methods give the Local Average Treatment Effect (LATE). Since LATE is the average causal effect of the treatment on the sub-group of compliers, it is generally different from ATE and ATT. Moreover, different instruments identify the effect on different groups of compliers giving different estimates of LATE. A problem for policy making is that the compliers are in general an unobserved sub-group. However, IV methods estimate relevant policy parameter if the instrument itself is a potential policy variable. We demonstrate these issues with an application on data derived from the Vietnam Living Standard Measurement Study.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.iser.essex.ac.uk/pubs/workpaps/pdf/2007-27.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Institute for Social and Economic Research in its series ISER working papers with number 2007-27.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Length: 54
Date of creation: Jan 2008
Date of revision:
Handle: RePEc:ese:iserwp:2007-27

Contact details of provider:
Postal: Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK
Phone: 44-1206-872957
Fax: 44-1206-873151
Web page: http://www.iser.essex.ac.uk/

Order Information:
Postal: Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK
Email:
Web: http://www.iser.essex.ac.uk/pubs/

For technical questions regarding this item, or to correct its listing, contact: (Paul Groves).

Related research
Keywords:

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? Data contributors to RePEc receive monthly emails with details about downloads and abstract views of their works.

This page was last updated on 2008-7-2.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.