scholarly journals Linear Measures, the Gini Index, and The Income-Equality Trade-off

1994 ◽  
Vol 64 (2) ◽  
pp. 443-467 ◽  
Author(s):  
Elchanan Ben Porath ◽  
Itzhak Gilboa
Keyword(s):  
2017 ◽  
Vol 64 (2) ◽  
Author(s):  
Kalidoss Radhakrishnan ◽  
R. Marimuthu ◽  
M. Rajakumar ◽  
Neha W. Qureshi

In the present study, an attempt was made to measure the impact of inequality on income, asset and debt of inland fishers in the Theni District of Tamil Nadu, India. A total of 140 respondents were surveyed for this work. Gini index (GI) was applied to measure the income inequality and multiple regression was done to identify the influencing variable of asset and debt. Higher income was observed in non-fishing activities than those of the fishing and fishing related works while higher income equality was recorded in fishing. Among assets, fishing gear, craft, television and land had lesser inequality (GI 0.06 to 0.41) while furniture and livestock had higher inequality (GI 0.0 to 0.80). Average debt was found to be higher among institutional sources than that of the non-institutional ones, whereas, a minimum GI (0.59) was recorded in Vagai and the maximum GI (0.76) in Kullapuram. Results of the study indicate that there is a need for curtailing the credit from non-institutional sources, which burden fishers and affects their economic status. Also, the fishing sector in Tamil Nadu needs proper policy attention regarding education and well-designed market policies and institutions to minimise the inequality that is plaguing the sector.


1982 ◽  
Vol 14 (2) ◽  
pp. 109-113 ◽  
Author(s):  
Suleyman Tufekci
Keyword(s):  

2012 ◽  
Vol 11 (3) ◽  
pp. 118-126 ◽  
Author(s):  
Olive Emil Wetter ◽  
Jürgen Wegge ◽  
Klaus Jonas ◽  
Klaus-Helmut Schmidt

In most work contexts, several performance goals coexist, and conflicts between them and trade-offs can occur. Our paper is the first to contrast a dual goal for speed and accuracy with a single goal for speed on the same task. The Sternberg paradigm (Experiment 1, n = 57) and the d2 test (Experiment 2, n = 19) were used as performance tasks. Speed measures and errors revealed in both experiments that dual as well as single goals increase performance by enhancing memory scanning. However, the single speed goal triggered a speed-accuracy trade-off, favoring speed over accuracy, whereas this was not the case with the dual goal. In difficult trials, dual goals slowed down scanning processes again so that errors could be prevented. This new finding is particularly relevant for security domains, where both aspects have to be managed simultaneously.


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