UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Solving endogeneity problems in multilevel estimation : an example using education production functions

Hanchane, Said; Mostafa, Tarek; (2012) Solving endogeneity problems in multilevel estimation : an example using education production functions. Journal of Applied Statistics , 39 (5) pp. 1101-1114. Green open access

[thumbnail of Published paper] Text (Published paper)
tarek_mostafa_jas.pdf - Published Version
Access restricted to Registered users only

Download (137kB) | Request a copy
[thumbnail of Solving Endogeneity Problems in Multilevel Estimation: An Example Using Education Production Functions.] Text (Solving Endogeneity Problems in Multilevel Estimation: An Example Using Education Production Functions.)
hanchane_mostafa.docx - Accepted Version
Available under License ["licenses_description_unspecified" not defined].

Download (267kB)

Abstract

This paper explores endogeneity problems in multilevel estimation of education production functions. The focus is on level 2 endogeneity which arises from correlations between student characteristics and omitted school variables. Theses correlations are mainly the result of student stratification between schools. From an econometric point of view, the correlations between student and school characteristics imply that the omission of some variables may generate endogeneity bias. Therefore, an estimation approach based on the Mundlak (1978) technique is developed in order to tackle bias and to generate consistent estimates. Note that our analysis can be extended to any multilevel-structured data (students nested within schools, employees within firms, firms within regions, etc). The entire analysis is undertaken in a comparative context between three countries: Germany, Finland and the UK. Each one of them represents a particular system. For instance, Finland is known for its extreme comprehensiveness, Germany for early selection and the UK for its liberalism. These countries are used to illustrate the theory and to prove that the level of bias arising from omitted variables varies according to the characteristics of education systems.

Type: Article
Title: Solving endogeneity problems in multilevel estimation : an example using education production functions
Open access status: An open access version is available from UCL Discovery
Language: English
Keywords: Multilevel analyses, endogeneity problems, Mundlak technique, PISA data.
UCL classification: UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
URI: https://discovery.ucl.ac.uk/id/eprint/10011365
Downloads since deposit
303Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item