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Purpose – This chapter examines how those who study issues related to radicalization and counter-radicalization have recently drawn from the experiences of former extremists to inform our understanding of complex issues in terrorism and extremism studies.

Approach – The authors synthesize the empirical research on radicalization and counter-radicalization that incorporates formers in the research designs. In doing so, the authors trace these research trends as they unfold throughout the life-course: (1) extremist precursors; (2) radicalization toward extremist violence; (3) leaving violent extremism; and (4) combating violent extremism.

Findings – While formers have informed our understanding of an array of issues related to radicalization and counter-radicalization, empirical research in this space is in its infancy and requires ongoing analyses.

Value – This chapter provides researchers, practitioners, and policymakers with an in-depth account of how formers have informed radicalization and counter-radicalization research in recent years as well as an overview of some of the key gaps in the empirical literature.

In this chapter, we illustrate the use of data envelopment analysis, an operations research technique, to analyze the financial performance of the seven largest retailers in the United States by benchmarking a set of financial ratios of a firm against its peers. Data envelopment analysis clearly brings out the firms that are operating more efficiently in comparison to other firms in the industry, and points out the areas in which poorly performing firms need to improve.

This study constructs a comprehensive, internationally comparative set of foreign trade data for the period 1857–1875. The dataset is constructed using information at the commodity group-level and contains import and export values for the UK, France, the Zollverein, the Netherlands, Belgium, Austria-Hungary, and the United States, itemised by trade partner. The study tackles three basic problems related to the heterogeneity in national statistics of the period: different definitions of aggregates, inadequate ‘official’ pricing, and the ‘proximity bias’, i.e. the misleading practice of crediting imports to bordering countries from where they physically entered, but where they did not originate. After passing successfully a consistency test, the resulting dataset contains harmonised and country of origin-corrected bilateral trade values for 7 central importers, 10 points in time, and 21 commodity groups, along with ad valorem tariff rates for all commodity groups and countries. They offer new detailed insights into the composition and evolution of trade and tariffs in the third quarter of the 19th century. Furthermore, a basic implementation of the gravity equation shows that as a consequence of the proximity bias estimates using uncorrected data are to be taken with care, especially when assessing border effects and the impact of policy variables.

There is a growing literature in nonparametric econometrics in the recent two decades. Given the space limitation, it is impossible to survey all the important recent developments in nonparametric econometrics. Therefore, we choose to limit our focus on the following areas. In Section 2, we review the recent developments of nonparametric estimation and testing of regression functions with mixed discrete and continuous covariates. We discuss nonparametric estimation and testing of econometric models for nonstationary data in Section 3. Section 4 is devoted to surveying the literature of nonparametric instrumental variable (IV) models. We review nonparametric estimation of quantile regression models in Section 5. In Sections 2–5, we also point out some open research problems, which might be useful for graduate students to review the important research papers in this field and to search for their own research interests, particularly dissertation topics for doctoral students. Finally, in Section 6 we highlight some important research areas that are not covered in this paper due to space limitation. We plan to write a separate survey paper to discuss some of the omitted topics.

The credit migration process contains important information about the dynamics of a firm's credit quality, therefore, it has a significant impact on its relevant credit derivatives. We present a jump diffusion approach to model the credit rating transitions which leads to a partial integro-differential equation (PIDE) formulation, with defaults and rating changes characterized by barrier crossings. Efficient and reliable numerical solutions are developed for the variable coefficient equation that result in good agreement with historical and market data, across all credit ratings. A simple adjustment in the credit index drift converts the model to be used in the risk-neutral setting, which makes it a valuable tool in credit derivative pricing.

Purpose – The author investigates how those who have engaged in political violence in the UK understand Prevent’s preemptive rationality, and how Prevent conceptualizes the trajectory toward “terrorism” in relation to the testimony of those who have engaged in “terrorist” violence and were convicted of terrorism offences.

Methodology/Approach – The author takes the assumptions that Prevent makes about risk (from the Prevent Strategy and other documents), and tests these against the testimony of former combatants from “the Troubles.”

Findings – Despite the trajectory toward violence not being considered to differ fundamentally nor demonstrated through evidence to operate differently from one era to the next, the premise of Prevent’s assumptions of the movement into violence and former combatant testimony are entirely foreign to each other.

Originality/Value – Although militants from “the Troubles” (a conflict ending in 1998) and Prevent (established in 2003) are speaking about the same country and narrating their “truth” within five years of each other, the differences in how former combatants and Prevent understand the trajectory toward violence have not been considered. This has remained a significant omission of terrorism scholarship.