A semiparametric approach for modelling multivariate nonlinear time series

In this article, a semiparametric time‐varying nonlinear vector autoregressive (NVAR) model is proposed to model nonlinear vector time series data. We consider a combination of parametric and nonparametric estimation approaches to estimate the NVAR function for both independent and dependent errors. We use the multivariate Taylor series expansion of the link function up to the second order which has a parametric framework as a representation of the nonlinear vector regression function. After the unknown parameters are estimated by the maximum likelihood estimation procedure, the obtained NVAR function is adjusted by a nonparametric diagonal matrix, where the proposed adjusted matrix is estimated by the nonparametric kernel estimator. The asymptotic consistency properties of the proposed estimators are established. Simulation studies are conducted to evaluate the performance of the proposed semiparametric method. A real data example on short‐run interest rates and long‐run interest rates of United States Treasury securities is analyzed to demonstrate the application of the proposed approach. The Canadian Journal of Statistics 47: 668–687; 2019 © 2019 Statistical Society of Canada     

Do public representatives in local governments know about “disability rights” in Pakistan? An awareness assessment case from Southern Punjab

Local self-government systems have been adopted in many countries to supervise local interests in development and provide a range of goods and services to localities. It is believed that awareness of certain issues itself guides duty-bearers to reshape and divert development in a certain direction. In Pakistan, elected representatives in district governments are the key duty-bearers at the local level. Hence, their awareness is indispensable to decision-making for local development and, thus, it is pertinent to assess it from a disability rights perspective. In-depth information collected from two districts has reflected that most of the public representatives are ill-informed about disability, day-to-day problems of disabled persons and their rights, which results in inadvertently disability-biased local development planning. An overriding impression gained from the results is that raising elected representatives’ awareness on disability and the rights of disabled people is imperative to embracing disability rights practice in local development.     

Measuring Support Provisions for People Living With Disabilities in South Asia: An Accessibility Index

ABSTRACT

The terms “empowerment,” “rights,” and “inclusiveness” are now commonly used in public policy, but little emphasis is placed on “accessibility” issues in the integration of disabled people. This article proposes a composite index to measure economic support provisions, such as employment, vocational training, microfinance, and safety nets. The index was tested in a case study (N= 245) of two districts in Pakistan. Results support a “cost/benefit”-based philosophy, rather than the “means–ends” goal, where the disabled poor are viewed as unproductive and risky payers, instead of giving them an opportunity to exercise their potential. Change for the disadvantaged poor can be brought about with the mandatory use of this index in local annual audits. Future research might examine the impact of the index and standardize it for global use.     

On a Skew Bimodal Normal–Normal distribution fitted to the Old-Faithful geyser data

The Bimodal Normal distribution introduced by Alavi (2011) is a symmetric distribution where its variance is three times the variance of the corresponding normal distribution. Azzalini (1985) introduced the univariate Skew Normal distribution to model asymmetry data. In this paper the Skew Bimodal Normal–Normal distribution is introduced as a skew-symmetric distribution generated by the cumulative function of standard normal. Some properties of the distribution and some methods for generating data from this distribution are introduced. The maximum likelihood estimation of parameters is obtained. The distribution is fitted to the Old Faithful Geyser data.     

Blockchain and the circular economy: potential tensions and critical reflections from practice

Abstract

Blockchain technology and the circular economy (CE) are two emergent concepts that can change the way we live for decades. Arrival of Industry 4.0 is set to transform organisational activities through various technological innovations. Blockchain is such a critical technology. Yet, the breadth of the blockchain concept and its application require nuanced investigation in different contexts, including examining some tensions with the applications. This paper examines how blockchain technology is likely to transform and advance circular economy realisation. Using grounded theory building from multiple case studies, we present early evidence linking the blockchain application to circular economy dimensions of regenerate, share, optimise, loop, virtualise, and exchange (ReSOLVE model). Case studies of blockchain application in various industrial sectors, at different adoption levels, for diverse organisational purposes are analysed and discussed. We systematically examine the practices, gaps, potential tensions, and critical reflections. Our study concludes with a summary of research propositions, limitations, and future research directions.