Rape Protests in India and the Birth of a New Repertoire

The gang rape of a young physiotherapy student on a moving bus in December of 2012, in Delhi, India, brought forward a series of countrywide protests. These protests were unique compared with prior protests in India, leading to a need to re-examine the political importance of social movements in the subcontinent. Using data from 748 newspaper reports on the demonstrations that took place from December 2012 to April 2013, this paper examines the unique characteristics of the rape protests and their implications on the birth of a new repertoire in social movements. For the first time in Indian history, women's rights and violence against women occupied the forefront of national politics, and was no longer limited to agendas of feminists and women's groups. The protests were not led by a specific interest group, but were spontaneous and horizontal in nature, with participants from various social and political backgrounds. This paper argues that with the help of technology and new social media that a new repertoire of protests emerged: a horizontal, spontaneous, mass movement across interest groups.     

On a pragmatic modification of survey sampling in three stages

Presented are formulae for an unbiased estimator of a finite population total and an unbiased variance estimator for it when samples are taken by usual procedures in the first two stages with varying probabilities but the third stage units are sampled for economy and convenience in a non-standard way from the pool of all sampled second stage units rather than independently from each of the latter separately containing the former.     

Shrinkage of Variance for Minimum Distance Based Tests

This paper promotes information theoretic inference in the context of minimum distance estimation. Various score test statistics differ only through the embedded estimator of the variance of estimating functions. We resort to implied probabilities provided by the constrained maximization of generalized entropy to get a more accurate variance estimator under the null. We document, both by theoretical higher order expansions and by Monte-Carlo evidence, that our improved score tests have better finite-sample size properties. The competitiveness of our non-simulation based method with respect to bootstrap is confirmed in the example of inference on covariance structures previously studied by Horowitz (1998 Horowitz , J. ( 1998 ). Bootstrap methods for covariance structures . The Journal of Human Resources 33 : 39 – 61 .[Crossref], [Web of Science ®] , [Google Scholar]).