Previous work has analyzed whether luminosity data contain useful information for estimating economic output and concluded that there was significant promise for regions with poor quality economic statistics. The present paper examines alternative measures of the precision of the estimates using...

This paper uses a harmonized dataset of annual nightlight to predict district-level GDP for the 64 districts of Bangladesh over the period 1992-2020. The premise of the paper originates from the work of Henderson et al. (2012), who assert that a simple constant elasticity relationship...

We assess the bias and the efficiency of state-of-the-art dynamic panel data estimators by means of model-based Monte Carlo simulations. The underlying data-generating process consists of a standard theoretical growth model of income convergence based on capital accumulation. While we impose a...

The literature that tests for U-shaped relationships using panel data, such as those between pollution and income or inequality and growth, reports widely divergent (parametric and non-parametric) empirical findings. We explain why lack of identification lies at the root of these differences. To...

This paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model space, thereby taking model uncertainty into account. By looking beyond marginal measures of variable importance,...

The literature that tests for U-shaped relationships using panel data, such as those between pollution and income or inequality and growth, reports widely divergent (parametric and non-parametric) empirical findings. We explain why lack of identification lies at the root of these differences. To...

We propose an estimation strategy that accounts for two major problems raised in the empirical literature testing for the prevalence of the inverted U-shaped relation between environmental degradation and economic activity, namely the Environmental Kuznets Curve (EKC) hypothesis. First, we use...

As in many developing countries, mobile money was justified as a significant tool of financial inclusion in Sub-Saharan Africa. This study attempts to identify the factors motivating Rwandans to use the mobile money using the FinScope 2016 survey data collected from a random sample of 12,480...

This paper introduces a new measure of dependence or jointness among explanatory variables. Jointness is based on the joint posterior distribution of variables over the model space, thereby taking model uncertainty into account. By looking beyond marginal measures of variable importance,...

The literature that tests for U-shaped relationships using panel data, such as those between pollution and income or inequality and growth, reports widely divergent (parametric and non-parametric) empirical findings. We explain why lack of identification lies at the root of these differences. To...