The effect of income shocks on food insufficiency

In this paper we investigate the relationship between income shocks and food insufficiency for U.S. households. Using Survey of Income and Program Participation data on U.S. households, we test the importance of both stable and transitory income components in determining food insufficiency. In a logistic regression model, we find that both the level of income and negative income shocks affect the predicted probability of food insufficiency, while positive income shocks do not. Although we do not have a definitive measure of a household’s liquidity constraint status, our work suggests that negative shocks may matter more for households that face liquidity constraints. Understanding the role of income shocks in determining food insufficiency is especially important in light of recent policy changes. It is likely that welfare reform in the U.S. increased the volatility of income in the low-income population. Our findings here suggest that this increase in volatility may not be without consequence.     

Cleaning up their act: The effects of marriage and cohabitation on licit and illicit drug use

We use data from the National Longitudinal Survey of Youth to estimate changes in binge drinking, marijuana use, and cigarette smoking surrounding young adults' first experiences of cohabitation and marriage. Both marriage and cohabitation are accompanied by decreases in some risk behaviors, but reductions surrounding marriage are larger and most consistent, particularly for men. Binge drinking and marijuana use respond to these events, especially marriage, but smoking does not.     

Likelihood Inference for Discretely Observed Nonlinear Diffusions

This paper is concerned with the Bayesian estimation of nonlinear stochastic differential equations when observations are discretely sampled. The estimation framework relies on the introduction of latent auxiliary data to complete the missing diffusion between each pair of measurements. Tuned Markov chain Monte Carlo (MCMC) methods based on the Metropolis‐Hastings algorithm, in conjunction with the Euler‐Maruyama discretization scheme, are used to sample the posterior distribution of the latent data and the model parameters. Techniques for computing the likelihood function, the marginal likelihood, and diagnostic measures (all based on the MCMC output) are developed. Examples using simulated and real data are presented and discussed in detail.     

Peer effects and intentional entrepreneurial behaviour: A systematic literature review and research agenda

What role peers play in individuals’ decisions to become entrepreneurs and to what extent peer effects play a role in influencing behaviours at the various stages of business venturing are important questions for scholars and policymakers. This systematic review takes stock of the recent additions to the literature around the phenomenon of peer influence in entrepreneurship. The review identified 2894 documents which were then narrowed down through three consecutive filtering stages. We thematically analysed the final sample of 27 empirical studies that shed light on how individual peers influence the process and outcomes of these individuals’ entrepreneurial intentions and behaviour, allowing for critical analysis. We propose a conceptual schema of social influence that occurs in interactions among entrepreneurial individuals within business venturing and across the three stages of pre-formation, formation and growth. Our framework reconciles the conceptual classification around discovering, evaluating and exploiting entrepreneurial opportunities with the mechanisms of social influence affecting entrepreneurial behaviours. Grounded in the findings of the literature review, this framework synthesizes peer influence in entrepreneurship with the tripartite distinction of the behavioural motives recognized in contemporary theories of social influence. We suggest promising directions for further research on how interactions with peers might affect individuals’ entrepreneurial behaviours.     

Within- and between-person associations among internalizing and externalizing problems during middle childhood

Internalizing and externalizing problems are likely to co-occur in childhood and are related to concurrent and prospective mental health outcomes. We examined the longitudinal relations among internalizing and externalizing problems during middle childhood utilizing the Random Intercept – Cross Lagged Panel Model. We investigated three research questions: (1) how overall levels of internalizing and externalizing problems are related, (2) whether internalizing and externalizing problems predict each other longitudinally, and (3) whether girls and boys show different longitudinal associations among internalizing and externalizing problems. Mother-reported internalizing and externalizing problems were used through first to sixth grade (N = 1364). Results showed positive random intercepts and positive within-time correlations of internalizing and externalizing problems. Further, internalizing problems predicted externalizing problems at the within-person level. Although previous research mostly has shown a significant effect from externalizing problems to internalizing problems, the current study shows that when within- and between-person variance are disentangled, internalizing problems also may predict externalizing problems.     

Clocks and Trees: Isomorphic Dutch Auctions and Centipede Games

We report an experiment on effects of varying institutional format and dynamic structure of centipede games and Dutch auctions. Centipede games with a clock format unravel, as predicted by theory but not reported in previous literature on two‐player tree‐format centipede games. Dutch auctions with a tree format produce bids close to risk neutral Nash equilibrium bids, unlike previous literature on clock‐format Dutch auctions. Our data provide a new, expanded set of stylized facts which may provide a foundation for unified modeling of play in a class of games that includes centipede games and Dutch auctions.