This study analyzes the effects of foreign direct investment (FDI) on wage inequality in Vietnam by utilizing panel data from 63 provinces over the period 2010-2018. The spatial autocorrelation model is used in the study. Empirical results from the spatial econometric model reveal that FDI tends...

Small area poverty estimates are important for social and economic policy, however the required data are often unavailable. This paper presents a Small Area Estimation (SAE) technique called Conditional Monte Carlo (CMC). CMC provides robust estimates of small area poverty rates, subject to...

This paper empirically explores the propagation mechanisms through which exogenous shocks are diffused and amplified throughout the input-output network structure of regional economies in the European Union. To do so, it develops weighted and directed input-output network models across the...

This study investigates migration flows between urban and rural areas in Russia from 2011 to 2020 and explores potential drivers using a combination of Markov chain and spatial interaction modelling approaches. The findings indicate a high likelihood of rural-to-urban migration, leading to...

Regions and industries are not isolated islands; so, when evaluating productivity growth, regional and sectoral growth paths should not be expected to generate independently. Moreover, accounting for spatial interactions via econometric models has become normal practice; but modelling...

This study provides a test for measurement of spatial competition in residential real estate markets. Several alternative spatial competition measures are tested. We employ a Bertrand oligopoly model with differentiated products and adopt a Spatial Autoregressive model using a two stage least...