publication . Preprint . 2008

The significance of Sampling Design on Inference: An Analysis of Binary Outcome Model of Children’s Schooling Using Indonesian Large Multi-stage Sampling Data

Ekki Syamsulhakim;
Open Access
  • Published: 01 Oct 2008
Abstract
This paper aims to exercise a rather recent trend in applied microeconometrics, namely the effect of sampling design on statistical inference, especially on binary outcome model. Many theoretical research in econometrics have shown the inappropriateness of applying i.i.dassumed statistical analysis on non-i.i.d data. These research have provided proofs showing that applying the iid-assumed analysis on a non-iid observations would result in an inflated standard errors which could make the estimated coefficients inefficient if not biased. Consequently, a policy-affecting quantitative research would give an incorrect - usually of type-1 errors - in its conclusion. ...
Subjects
free text keywords: Applied microeconometrics, survey data, IFLS, design effects, economics of education, demand for schooling, jel:C12, jel:C42, jel:C81, jel:I21
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