Essie Maassoumi
Emory University, Economics, Faculty Member
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IN THE TRADITIONAL analyses of inequality, individuals are characterized and ordered by a specific set of welfare attributes in which they share. Kolm (1977) formalized the intuitively appealing notion ("fundamentalism") that, the greater the number of attributes considered the better are the ass...more
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We consider a metric entropy capable of detecting deviations from symmetry that is suitable for both discrete and continuous processes. A test statistic is constructed from an integrated normed difference between nonparametric estimates... more
We consider a metric entropy capable of detecting deviations from symmetry that is suitable for both discrete and continuous processes. A test statistic is constructed from an integrated normed difference between nonparametric estimates of two density functions. The null distribution (symmetry) is obtained by resampling from an artificially lengthened series constructed from a rotation of the original series about its mean (median, mode). Simulations demonstrate that the test has correct size and good power in the direction of interesting alternatives, while applications to updated Nelson and Plosser (1982) data demonstrate its potential power gains relative to existing tests.Entropy, Kernel, Metric, Nonparametric, Symmetry, Time series,
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In this paper, we propose a new concept of convergence which is based on the metric entropy measure recently proposed by Granger et al. (2004) to investigate economic convergence in China. This entropy measure compares whole distributions... more
In this paper, we propose a new concept of convergence which is based on the metric entropy measure recently proposed by Granger et al. (2004) to investigate economic convergence in China. This entropy measure compares whole distributions of growth rates across individual provinces. Separately, based on this same entropy measure, we also implement cluster analysis to identify any convergence clubs. Our four main conclusions are: (1) while we certainly reject the null hypothesis that there exists a nation-wide convergence, we do ?nd that there exist convergence clubs for both the pre- and post-reform periods, (2) we ?nd a number of very small convergence clubs. In particular, there are seven and ?ve convergence clubs for the pre- and post-reform periods, respectively. (3) in comparing the number and size of convergence clubs for both the pre- and post-reform periods, it could be argued that the extent of convergence is more prevalent during the post-reform period than during the pre-reform period, (4) convergence groups cannot be characterized by such unique features as region or the extent of policy preference level that are com- monly used in the literature.convergence, growth, entropy, China, cluster analysis
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In this paper a reduced form estimator is developed which combines the corresponding restricted 3SLS and the unrestricted LS estimators. This estimator is similar to the 'positive part' Stein-like estimators proposed by Baranchik... more
In this paper a reduced form estimator is developed which combines the corresponding restricted 3SLS and the unrestricted LS estimators. This estimator is similar to the 'positive part' Stein-like estimators proposed by Baranchik [2] and S. Sclove [16] in the classical multivariate regression context. It is shown that, whereas the restricted (derived) 3SLS and 2SLS reduced form estimates possess no finite moments (hence have unbounded risk), the modified Stein-like reduced form (MSRF) estimator has finite moments of up to order (T - n - m), where T is the sample size, n and m are the number of the endogenous and the non-stochastic exogenous variables in the system. Furthermore it is argued that, asymptotically, the difference between the MSRF and the 3SLS estimators is negligible.
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Statistical issues that concern researchers in economic education cut across all areas of scientific inquiry that lend themselves to a probabilistic approach. Broadly speaking these issues fall under two closely related headings of... more
Statistical issues that concern researchers in economic education cut across all areas of scientific inquiry that lend themselves to a probabilistic approach. Broadly speaking these issues fall under two closely related headings of sampling and inference.
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Research Interests: Econometrics and Earnings
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Statistical issues that concern researchers in economic education cut across all areas of scientific inquiry that lend themselves to a probabilistic approach. Broadly speaking these issues fall under two closely related headings of... more
Statistical issues that concern researchers in economic education cut across all areas of scientific inquiry that lend themselves to a probabilistic approach. Broadly speaking these issues fall under two closely related headings of sampling and inference.
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Page 1. The Information Basis of Matching in Treatment Effect: Understanding Propensity ScoresEsfandiar Maasoumi SMU, Dallas, TX Introduction ... (b) The variables in Æ are second order stochastically maximal; ie, S mini≠j maxx − x... more
Page 1. The Information Basis of Matching in Treatment Effect: Understanding Propensity ScoresEsfandiar Maasoumi SMU, Dallas, TX Introduction ... (b) The variables in Æ are second order stochastically maximal; ie, S mini≠j maxx − x Fi − Fjd 0, (2) ...
... Department of Economics, Emory University, Atlanta, Ga emaasou@emory.edu and VahidMahmoudi Department of Finance, Tehran University, Tehran vmahmodi@ut.ac.ir Abstract: This paper provides a robust nonparametric methodology for... more
... Department of Economics, Emory University, Atlanta, Ga emaasou@emory.edu and VahidMahmoudi Department of Finance, Tehran University, Tehran vmahmodi@ut.ac.ir Abstract: This paper provides a robust nonparametric methodology for decomposition of ...