This paper revisits the cross-country growth empirics debate using a novel Limited Information Bayesian Model Averaging framework to address model uncertainty in the context of a dynamic growth model in panel data with endogenous regressors. Our empirical findings suggest that once model...

This research examines the effects of Chinese Foreign Direct Investment (CFDI) on fixed broadband and mobile cellular penetration rates using panel data from the "China Global Investment Tracker," a dataset of publicly available CFDI transactions from 2005 to 2023. As CFDI grows to pre-COVID-19...

We combine some newly developed panel co-integration techniques and common factor analysis to analyze the behavior of the real exchange rate (RER) in a sample of 64 developing countries. We study the dynamic of the RER with its economic fundamentals: productivity, the terms of trade, openness,...

Analyzing and projecting the behavior of macroeconomic variables in new EU member states presents special challenges, owing to limited time series of the available data. This paper presents an analysis of investment in Poland based on an underexplored sectoral data set. The determinants of...

This paper extends the Bayesian Model Averaging framework to panel data models where the lagged dependent variable as well as endogenous variables appear as regressors. We propose a Limited Information Bayesian Model Averaging (LIBMA) methodology and then test it using simulated data. Simulation...

The notable rebound of U.S. manufacturing activity following the Great Recession has raised the question of whether the sector might be experiencing a renaissance. Using panel regressions, we find that a depreciating real exchange rate, an increasing spread in natural gas prices between the...