From agriculture to sport and from climate change to indigenous rights, transnational regulatory regimes and actors are multiplying and interacting with poorly understood results. This interdisciplinary book investigates whether, how and by whom transnational business governance interactions (TBGIs) can be harnessed to improve the quality of transnational regulation and advance the interests of marginalized actors. Exploring multiple sectors and issue areas, Transnational Business Governance Interactions presents new empirical and theoretical research from leading and emerging scholars and identifies obstacles to, and opportunities for, mobilizing TBGIs to enhance regulatory capacities, outputs and outcomes and to advance marginalized actors in transnational business governance. The prime readership for this work is an interdisciplinary audience of academics including scholars of law, business, environmental studies, international relations, political science, political economy and sociology. Because of its attention to practical strategies to harness governance interactions to enhance regulatory quality and advance marginalized groups, the book will also be of interest to high-level participants in global business governance, including standards-setting bodies, certification bodies, auditors, trade associations, civil society organizations, social movement organizers, national regulators, overseas development agencies and international organizations. Contributors include: K.W. Abbott, G. Auld, M. Bach, S. Carodenuto, B. Cashore, D. Casey, C.C.-H. Chen, B. Eberlein, P. Foley, S. Gao, T. Havinga, L.F. Henriksen, E. Meidinger, N. Oman, P. Paiement, S. Renckens, R. Schmidt, L. Seabrooke, P. Verbruggen, O. Westerwinter, J.K. Winn, S. Wood

Describes ARIMA, or Box-Tiao models, widely used in the analysis of interrupted time series quasi-experiments. Assumes no statistical background beyond simple correlation.