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This chapter focuses on the heterogeneous pathways (including marital and cohabiting union and parenting histories) through which people navigate their family life courses from adolescence through mid-life, and their implications for union dissolution in middle and later life. The analyses draw on data (retrospective, cross-sectional) from the 2011 and 2017 Canadian General Social Surveys. The study sample includes individuals aged 50 and over (n = 14,547) who were in a union at age 50. Sequence analyses are used to identify the most common family life course trajectories among these individuals from adolescence through midlife (ages 15–50). Logistic regression analyses then address the implications of these trajectories for union dissolution in middle and later life (ages 50+). The results reveal four main family trajectories that characterize the earlier years of the adult life course: married with children, cohabiting with children, single or cohabiting without children, and married without children. These family trajectories, together with their level of complexity, play an important role in relation to both marital and cohabiting union dissolution outcomes in later life.

This chapter presents a model of distribution dynamics in the presence of measurement error in the underlying data. Studies of international growth convergence generally ignore the fact that per capita income data from the Penn World Table (PWT) are not only continuous variables but also measured with error. Together with short-time scale fluctuations, measurement error makes inferences potentially unreliable. When first-order, time-homogeneous Markov models are fitted to continuous data with measurement error, a bias towards excess mobility is introduced into the estimated transition probability matrix. This chapter evaluates different methods of accounting for this error. An EM algorithm is used for parameter estimation, and the methods are illustrated using data from the PWT Mark 6.1. Measurement error in income data is found to have quantitatively important effects on distribution dynamics. For instance, purging the data of measurement error reduces estimated transition intensities by between one- and four-fifths and more than halves the observed mobility of countries.

I review the burgeoning literature on applications of Markov regime switching models in empirical finance. In particular, distinct attention is devoted to the ability of Markov Switching models to fit the data, filter unknown regimes and states on the basis of the data, to allow a powerful tool to test hypotheses formulated in light of financial theories, and to their forecasting performance with reference to both point and density predictions. The review covers papers concerning a multiplicity of sub-fields in financial economics, ranging from empirical analyses of stock returns, the term structure of default-free interest rates, the dynamics of exchange rates, as well as the joint process of stock and bond returns.

We address an interesting case – the predictability of excess US asset returns from macroeconomic factors within a flexible regime-switching VAR framework – in which the presence of regimes may lead to superior forecasting performance from forecast combinations. After documenting that forecast combinations provide gains in predictive accuracy and that these gains are statistically significant, we show that forecast combinations may substantially improve portfolio selection. We find that the best-performing forecast combinations are those that either avoid estimating the pooling weights or that minimize the need for estimation. In practice, we report that the best-performing combination schemes are based on the principle of relative past forecasting performance. The economic gains from combining forecasts in portfolio management applications appear to be large, stable over time, and robust to the introduction of realistic transaction costs.

We model transitions between unemployment, low-paid and high-paid employment by British men using a first order Markov model with endogenous switching that also takes into account the endogeneity of initial conditions, selection into employment, and sample attrition. Our estimates indicate that all three selectivity issues are non-ignorable. We demonstrate several interrelationships between the dynamics of (un)employment and low-paid work between one year and the next, represented by forms of (cross-)state dependence. Controlling for heterogeneity, the probability of a man having a low-paid job in one year depends not only whether he had a job a year before but also whether that job was low paid. The probability of his being employed at all depends on whether he had a job the previous year.

Team composition research considers how configurations (e.g., team-level diversity) of team members’ attributes (e.g., personality, values, demographics) influence important outcomes. Our chapter describes key issues in understanding and effectively managing team composition over time.

We discuss how context shapes team composition. We review empirical research that examined relationships between team composition, and team processes and emergent properties over multiple time points. We review research that examined how composition can be effectively managed over the lifecycle of a team.

Context shapes the nature of team composition itself (e.g., dynamic composition). To the extent that membership change, fluid boundaries, and multiple team membership are present should be accounted for in research and practice. The research we reviewed indicated no, or fleeting effects for surface-level (e.g., demographics) composition on the development of team processes and emergent properties over time, although there were exceptions. Conversely, deep-level composition affected team processes and emergent properties early in a team’s lifespan as well as later. Team composition information can be used in staffing; it can also inform how to best leverage training, leadership, rewards, tasks, and technology to promote team effectiveness.

Teams are the building blocks of contemporary organizations. Understanding and effectively managing team composition over time can increase the likelihood of team.

Our chapter provides novel insights into key issues in understanding and effectively managing team composition over time.

The legitimacy of history: dictated Bloch. Today, in many areas of knowledge, and of course in entrepreneurship (Wadhwani, 2010), it has become superlative. The aim of this chapter is analyzing the literature about entrepreneurship in Mexico mainly from the last 11 years of studies on the subject. Through this review, we want to highlight the progress in the field, as well as deeper opportunities in its research as a result of it, the profound need for incorporating them not only in the national academic debate but also into the entrepreneurship ecosystem and in specific public policies.

A significant amount of experimentation in virtual collection building and public service has been underway for the past few years. The time has now come to stop experimenting and commit instead to building collaborative, scalable and sustainable programs to meet patrons at their point of need. Our failure to do so will mean a relegation of libraries to the back ranks of information gatherers and suppliers. While it is unlikely that libraries will disappear altogether, they will become afterthoughts unless librarians consciously rethink their roles in society and academia becoming less the passive retainer and more the active participant in the creation and maintenance of information and knowledge. The resources and means are available to make librarians viable and necessary contributors to efficient information retrieval. However, do librarians have the will, the imagination and the confidence to do so? This chapter will evaluate the development of virtual reference services and will suggest a road map for where to go next.

The goals of this chapter are three-fold: (1) to outline some broad empirical regularities concerning how drug problems evolve over time, (2) to sketch some plausible mechanisms for ways in which aspects of that variation might be endogenous, and (3) to review two classes of dynamic models of drug use that have implications for how policy should vary over a drug epidemic.

We examine whether variations in the most fundamental aspects of state corporate income tax regimes affect state economic activity as measured by personal income, gross state product, and total non-farm employment. We focus on a variety of statutory components of state corporate income taxes that apply broadly in most U.S. states and for most multi-state corporate taxpayers. Our econometric strategy consists of a series of fixed effects panel regressions using state-level data from 1996 through 2010. Our results reveal important interaction effects of tax rates and policies, suggesting that policy makers should avoid making decisions about tax rates in isolation. The results demonstrate a relatively consistent negative economic response to the combination of high tax rates with throwback rules and heavy sales factor weights. Combined reporting has no discernible effect on personal income, GSP, or employment after controlling for tax rates, apportionment, and throwback rules. In an effort to gauge the relative impacts of tax policies on the location of economic activity, we also estimate alternative models in which each state’s economic activity is measured as a share of the national economic activity in each year. Statistically significant effects for tax rates, apportionment formulas, and throwback rules in the shares models suggest that at least some of their impact involves the movement of activity across state lines, thereby leaving open the possibility of a zero-sum game among the states.