Couple's literacy level and acceptance of family planning methods: Lorenz curve analysis

The authors study the acceptance of family planning methods according to the level of couple's literacy in 14 states in India during 1986-87, using the Lorenz curve. The Gini Concentration Ratio and Index of Dissimilarity were calculated by level of couple's literacy for vasectomy, tubectomy, IUD, and all method combined. Firstly, analysis found literates to have accepted vasectomy and IUD more than tubectomy. Secondly, among the 3 methods, a high Gini Concentration Ratio was found for vasectomy when the wife was literate. Moreover, when the wife was literate, the Gini Concentration Ratio of IUD acceptance was higher than the acceptance of IUD by the wife whose husband was literate. Thirdly, the same trend was observed when the husband was illiterate. It is therefore clear that the level of a woman's literacy is a key factor in securing the acceptance of male or female methods of family planning. Planners should therefore concentrate on literacy programs for females independently of their age. Increasing the level of female literacy may ultimately help improve the understanding of family planning methods, while these women may also motivate their husbands to undergo vasectomy which will ultimately foster the success of the family planning program.     

How to handle donor complaints

Responding to donor complaints takes great care. But know who's complaining and keep things in perspective.     

How public opinion really works

The public's thinking on issues progresses through seven predictable stages, the dean of American pollsters finds. Politicians make a big mistake just looking at raw numbers.     

EMBEDDED MATRICES FOR FINITE MARKOV CHAINS

For an arbitrary subset A of the finite state space 5 of a Markov chain the so–called embedded matrix P _A is introduced. By use of these matrices formulas expressing all kinds of probabilities can be written down almost automatically, and calculated very easily on a computer. Also derivations can be given very systematically.     

THE INFLUENCE OF ORGANIZATION STRUCTURE ON THE UTILITY OF AN ENTREPRENEURIAL TOP MANAGEMENT STYLE

This study examined the influence of organization structure on the relationship between top management's entrepreneurial orientation and financial performance. Moderated regression analysis was used to analyse data collected from 80 business organizations. the findings suggest that an entrepreneurial top management style has a positive effect on the performance of organically-structured firms and a negative effect on the performance of mechanistically-structured firms.     

Zur Entscheidung y>y0 aufgrund der Messung einer korrelierten Variablen

Zusammenfassung Es wird eine optimale Strategie im Sinne des minimalen erwarteten Verlustes für die beiden Entscheidungeny>y _o undyy _o aufgrund der Messungen einer mitY positiv korrelierten, einfacher und/oder billiger zugänglichen ZufallsvariablenX abgeleitet. Dabei wird angenommen, daßX undY nach einer bivariaten Normalverteilung mit bekannten Parametern verteilt sind und die Entscheidungyy _o getroffen wird, wennx größer ist als ein zu bestimmendesx _o, und die Entscheidungy>y _o, wennx gleich oder kleiner als diesesx _o ist. Für die Bestimmung des optimalenx _o werden zunächst die Kosten für die beiden Fehlentscheidungen jeweils als konstant vorausgesetzt, in einem weiteren Ansatz wird jedoch für die Mißklassifikationyy _o eine mity exponentiell wachsende Risikofunktion angenommen. Um die relative Häufigkeit der zu erwartenden Fehlklassifikationen abschätzen zu können, wird schließlich die bedingte WahrscheinlichkeitP(x>x _o,y) errechnet.

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Summary An optimal strategy, with minimum expected risk, for the decisionsy>y _o oryy _o is constructed on the basis of the measurement of a variableX, which is positively correlated withY and can be measured more easily and/or with smaller expense. A bivariate normal distribution with known parameters is assumed forX andY. For the observationsx a limitx _o is aimed at, so that the decisionsy>y _o oryy _o are taken ifx>x orxx _o respectively. Optimal values ofx _o are first calculated under the assumption of constant losses for the two misclassifications (x>x _o ifyy _o andxx _o ify>y _o). In a further approach the loss for a wrong decisionyy _o is assumed to increase exponentially withy. Finally the conditional probabilityP (x>x _o\y) is calculated to get an assessment of the relative frequencies of wrong decisions to be expected.