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Purpose – The purpose of this chapter is to advance understanding of regional industry or innovation clusters and the opportunities that the cluster framework provides policymakers for delivering economic impact, clarifying economic priorities, and coordinating disparate programmatic efforts, and to articulate some basic principles for formulating cluster strategies.

Methodology/approach – As the cluster concept enters its third decade and the body of related literature reaches a new level of maturity a consensus has emerged among academics and policy thinkers on the economic benefits of clusters. In fact, clusters have emerged as major focus of economic and policy discussion just now – in what the authors dub a “cluster moment” – by dint of their demonstrated practical impact, their value in paradigm discussions, and their potential utility in policy reform. The chapter reviews the benefits of clusters and traces their ascendance – and re-emergence post-recession – among policy thinkers.

Findings – New research confirms that strong clusters tend to deliver positive benefits to workers, firms, and regions. As a paradigm, they reflect the nature of the real economy and as a matter of policymaking, clusters provide a framework for rethinking and refocusing economic policy. In pursuing cluster-based economic development strategies, policy leaders should not try to create clusters; use data to target interventions, drive design, and track performance; focus initiatives on addressing discrete gaps in performance or binding constraints on cluster growth; maximize impact by leveraging pre-existing cluster-relevant programs; align efforts vertically as well as horizontally; and let the private sector lead. All three tiers of the nation's federalist system have distinct and complementary roles to play in advancing the cluster paradigm.

Research limitations/implications (if applicable) – The paper includes no new/original data.

Practical implications (if applicable) – Given that clusters have emerged as a major focus of economics and policy, this chapter lays out a core set of general principles for pursuing cluster-based economic development strategies – and for avoiding common pitfalls – to which policymakers can adhere.

Originality/value of paper – The chapter advances cluster thinking and cluster strategies as a paradigm with the potential to accelerate regional economic growth and assist with the nation's needed restructuring and rebalancing toward a more productive post-recession economy.

This chapter develops a framework for quantile regression in binary longitudinal data settings. A novel Markov chain Monte Carlo (MCMC) method is designed to fit the model and its computational efficiency is demonstrated in a simulation study. The proposed approach is flexible in that it can account for common and individual-specific parameters, as well as multivariate heterogeneity associated with several covariates. The methodology is applied to study female labor force participation and home ownership in the United States. The results offer new insights at the various quantiles, which are of interest to policymakers and researchers alike.

Facing the aging workforce but older workers’ vulnerability in the labor market, this chapter empirically explores factors and policy implications to enhance older workers’ entered employment rates (EER) after exiting the national workforce program. After reviewing older workers’ attributes and the unique methods to train them, the chapter examines demographic, socioeconomic, and program attributions to older workers’ EER, controlling for cyclical changes in the labor market. The chapter relies on three sets of models including logistic regression, multi-level mixed-effect regression, and multilevel mixed effect logistic regression models, as well as longitudinal Workforce Investment Act Standardized Record Data and Bureau of Labor Statistics unemployment data. Older dislocated workers and older adults are examined separately. Some Workforce Innovation and Opportunity Act training and related service combinations are identified to contribute to older adults and older dislocated workers’ EER and to inform strategic decision-making about future allocations of funds and policy efforts to serve older workers.