Book Reviews. Journal of Economic Literature [Internet]. 2012;50 (4) :1146 - 1149.
Publisher's VersionAbstractBhash Mazumder of Federal Reserve Bank of Chicago reviews, 'Heredity, Family, and Inequality: A Critique of Social Sciences' by Michael Beenstock. The EconLit Abstract of this book begins: 'Explores the roles of heredity, family, and social environment in the determination of outcomes among humans, including anthropometric, psychological, behavioral, and economic outcomes. Discusses the apple and the tree-Francis Galton revisited; correlation within the family; explaining the intergenerational and sibling correlations; inequality, diversity, and family; empirical methodology; empirical knowledge on the causes of correlations within the family; where we go from here; statistics; parenting theory and child behavior; and empirical methodology. Beenstock is Professor of Economics at the Hebrew University of Jerusalem. Bibliography; index.' [ABSTRACT FROM AUTHOR]
Beenstock M.
Heredity, Family, and Inequality: A Critique of Social Sciences. The MIT Press; 2012.
Publisher's VersionAbstractEmpirical literature in disciplines ranging from behavioral genetics to economics shows that in virtually every aspect of life the outcomes of children are correlated to a greater or lesser extent with the outcomes of their parents and their siblings. In Heredity, Family, and Inequality, the economist Michael Beenstock offers theoretical, statistical, and methodological tools for understanding these correlations. Beenstock presents a comprehensive survey of intergenerational and sibling correlations for a broad range of outcomes–including fertility and longevity, intelligence and education, income and consumption, and deviancy and religiosity. He then offers a critique of the sometimes conflicting explanations for these correlations proposed by social scientists from such disciplines as developmental psychology, sociology, and economics. Beenstock also provides an axiomatic framework for thinking about the complex interplay of heredity, family, and environments, drawing on game theor
Michael B, Nadav Ben Z, Daniel F.
1 NONPARAMETRIC ESTIMATION OF THE SPATIAL CONNECTIVITY MATRIX BY THE METHOD OF MOMENTS USING SPATIAL PANEL DATA. [Internet]. 2012.
Publisher's VersionAbstractWe use moments from the covariance matrix for spatial panel data to estimate the parameters of the SAR model, including the spatial connectivity matrix W. In the unrestricted SAR model the parameters are exactly identified by the moments in the covariance matrix. The restricted SAR model is over-identified, but we suggest that its parameters may be estimated by GMM and its restrictions may be tested empirically. If Gini covariances are used instead of conventional (Pearson) covariances, the estimated W matrix is asymmetric. We also suggest that the reduced rank covariance matrix will estimate W and the SAR parameters more e [...]