In this article, we describe a new command, xtbcfe, that performs the iterative bootstrap-based bias correction for the fixed-effects estimator in dynamic panels proposed by Everaert and Pozzi (2007, Journal of Economic Dynamics and Control 31: 1160–1184). We first simplify the core of their algorithm by using the invariance principle and subsequently extend it to allow for unbalanced and higher-order dynamic panels. We implement various bootstrap error resampling schemes to account for general heteroskedasticity and contemporaneous cross-sectional dependence. Inference can be performed using a bootstrapped variance–covariance matrix or percentile intervals. Monte Carlo simulations show that the simplification of the original algorithm results in a further bias reduction for very small T. The Monte Carlo results also support the bootstrap-based bias correction in higher-order dynamic panels and panels with cross-sectional dependence. We illustrate the command with an empirical example estimating a dynamic labor–demand function.

Despite great accomplishments in the migration literature, the determinants of South-South migration remain poorly understood. In an attempt to fill this gap, this paper formulates and tests an empirical model for intraregional migration in sub-Saharan Africa within an extended human capital framework, taking into account spatial interaction. Using bilateral panel data between 1980 and 2000, we find that intraregional migration on the subcontinent is predominantly driven by economic opportunities and sociopolitics in the host country, facilitated by geographical proximity. The role played by network effects and environmental conditions is also apparent. Finally, origin and destination spatial dependence should definitely not be ignored.

We use a multilevel approach to investigate whether a general and robust relationship between weather shocks and (internal and international) migration intentions can be uncovered in Western African countries. We combine individual survey data with measures of localized weather shocks for 13 countries over the 2008–2016 period. A meta-analysis on results from about 51,000 regressions is conducted to identify the specification of weather anomalies that maximizes the goodness of fit of our empirical model. We then use this best specification to document heterogeneous mobility responses to weather shocks. We find that variability in Standardized Precipitation Evapotranspiration Index/rainfall is associated with changing intentions to move locally or internationally in a few countries only. However, the significance, sign and magnitude of the effect are far from being robust and consistent across countries. These differences might be due to imperfections in the data or to differences in long-term climate conditions and adaptation capabilities. They may also suggest that credit constraints are internalized differently in different settings, or that moving internally is not a relevant option as weather conditions are spatially correlated while moving abroad is an option of last resort. Although our multilevel approach allows us to connect migration intentions with the timing and spatial dimension of weather shocks, identifying a common specification that governs weather-driven mobility decisions is a very difficult, if not impossible, task, even for countries belonging to the same region. Our findings also call for extreme caution before generalizing results from specific case studies.

Although family physicians (FPs) are community-oriented primary care generalists and should be the entry point for the population’s interaction with the health system, they are underrepresented in research on the climate change, migration, and health(care) nexus (hereafter referred to as the nexus). Similarly, FPs can provide valuable insights into building capacity through integrating health-determining sectors for climate-resilient and migration-inclusive health systems, especially in Sub-Saharan Africa (SSA). Here, we explore FPs’ perceptions on the nexus in SSA and on intersectoral capacity building. Three focus groups conducted during the 2019 WONCA-Africa conference in Uganda were transcribed verbatim and analyzed using an inductive thematic approach. Participants’ perceived interactions related to (1) migration and climate change, (2) migration for better health and healthcare, (3) health impacts of climate change and the role of healthcare, and (4) health impacts of migration and the role of healthcare were studied. We coined these complex and reinforcing interactions as continuous feedback loops intertwined with socio-economic, institutional, and demographic context. Participants identified five intersectoral capacity-building opportunities on micro, meso, macro, and supra (international) levels: multi-dimensional and multi-layered governance structures; improving FP training and primary healthcare working conditions; health advocacy in primary healthcare; collaboration between the health sector and civil society; and more responsibilities for high-income countries. This exploratory study presents a unique and novel perspective on the nexus in SSA which contributes to interdisciplinary research agendas and FP policy responses on national, regional, and global levels.

There is growing interest from both policy and academic communities in understanding why people do not migrate. This article offers the first global analysis of the aspiration to stay, defined here as the preference to stay in one's country of residence. We make use of the unique Gallup World Polls which provide information on aspirations to stay (as opposed to migrating abroad) as well as on individual characteristics and opinions for 130 countries worldwide between 2010 and 2016. We find staying aspirations are far more common than migration aspirations across the globe and uncover important “retain factors” often overlooked in research on migration drivers — related to social ties, local amenities, trust in community institutions, and life satisfaction. Overall, those who aspire to stay tend to be more content, socially supported and live in communities with stronger institutions and better local amenities. We further explore differences in the relative importance of retain factors for countries at different levels of urbanization, and for different population groups, based on gender, education, rural/urban location, migration history, religiosity, and perceived thriving. Our findings contribute to a more holistic understanding of migration decision-making, illuminating the personal, social, economic, and institutional retain factors countering those that push and pull.