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Joe Hirschberg

Researcher at University of Melbourne

Publications -  105
Citations -  1446

Joe Hirschberg is an academic researcher from University of Melbourne. The author has contributed to research in topics: Earnings & Confidence interval. The author has an hindex of 21, co-authored 103 publications receiving 1383 citations. Previous affiliations of Joe Hirschberg include Southern Methodist University.

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Cluster analysis for measuring welfare and quality of life across countries

TL;DR: The authors proposed statistical cluster analysis methods to explore different ways and levels for clustering of 23 diverse attributes such as political rights, civil liberties, life expectancy, literacy, real domestic product, etc.
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Bootstrapping Confidence Intervals for Linear Programming Efficiency Scores: With an Illustration Using Italian Banking Data

TL;DR: In this paper, a method for introducing a stochastic element into Farrell measures of technical efficiency as calculated via linear programming techniques is proposed, where a bootstrap of the original efficiency scores is performed to derive confidence intervals and a measure of bias for the scores.
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Occupational segregation in the multidimensional case Decomposition and tests of significance

TL;DR: In this paper, a multidimensional version of the G-segregation index is developed and applied to the study of occupational segregation using US Current Population Survey data to measure the difference in occupational segregation between races as well as the change between time periods Decomposition of the difference (change) into occupation mix and gender composition components indicates the contribution of each factor.
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Fiscal stress and the production of public safety - a distance function-approach

TL;DR: In this paper, a distance function is used to model technology, retrieve information concerning substitutability and shadow prices of personnel, and test for cost minimization, and it is found that the more adverse the public safety environment and budgetary condition, the more efficiently resources are allocated.
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Systematic Influences on Teaching Evaluations: The Case for Caution

TL;DR: This paper examined eight years of QOT responses from an Economics Department in an Australian University to determine what factors, besides the instructor, have an impact on the raw average student evaluation scores.