This study analyzes the mobility between three labor market states: working in low paid jobs, working in higher paid jobs and not working. Using German panel data I estimate dynamic multinomial logit panel data models with random effects taking the initial conditions problem and potential...

This paper examines the extent of state dependence in unemployment and the role played in this by intervening low-wage employment. A range of dynamic random and fixed effects estimators are compared. Low-wage employment is found to have almost as large an adverse effect as unemployment on future...

International marketing research, in most cases, involves at least two levels (e.g., firms within countries) that make the hierarchical linear modeling (HLM) a suitable data analysis technique. Due to its robustness, the use of HLM in the international business (IB) research has increased...

This brief article investigates the consequences of improving children's iron status for malaria parasite loads by analyzing data from Cote d’Ivoire, Zambia, and Tanzania; the treatment of iron deficiencies has been argued to flare up malaria in under-nourished populations. The data from a...

This paper modeled the dynamic inter-relationships between average salary, bonus, and stock options granted to top executives of 700 US firms using a merged ExecuComp and Compustat database. The effects of stock options granted and exercised on firms’ share repurchases and research and...

For short and fat panels the Mundlak model can be viewed as an approximation of a general dynamic autoregressive distributed lag model. We give an exact interpretation of short run and long effects and provide simulations to assess the quality of the approximation of the long run and short run...

This paper examines the extent of state dependence in individual unemployment and low paid employment and the inter-related dynamics between the two. Evidence is presented that (after controlling for unobserved heterogeneity and initial conditions) the low paid are more likely to become...