Satellite nighttime light data are increasingly used for evaluating the performance of economies in which official statics non-existent, limited, or non-comparable. In this paper, we use a novel luminosity-based measure GDP per capita to study regional convergence and spatial dependence across 274 subnational regions Association South East Asian Nations (ASEAN) over 1998–2012 period. Specifically, first evaluate usefulness new luminosity indicator context ASEAN regions. Results show that...

This paper studies regional convergence and spatial dependence of homicides personal injuries in Colombia. In particular, through the lens both classical distributional frameworks, two scales are contrasted: municipalities states. For injuries, sigma is only found at state level. contrast, beta municipal The non-parametric framework highlights further contrasting patterns. level, four clusters found, while present scales, found. Moreover, significant robust autocorrelation Overall, these...

Abstract The forecasting power of different methods is tested utilizing crime data for 1120 inland municipalities in Colombia. Using from 2003 to 2018, five are used: ETS, ARIMA, STAR, a classical beta convergence based model, and spatial model. First, it shown that overall municipal disparities steadily decreasing over time. This indicates effects pivotal the study dynamics Colombian municipalities. Time series cross‐validation 4‐year ahead forecasts implemented assess accuracy all models....

We study sectoral productivity convergence through the input-output structure of economy and its network representation. In particular, we 106 production sectors in Japan over 2003-2012 period identify highly interconnected groups using community detection algorithms. next characterize dynamics these communities by evaluating evolution dispersion parametric non-parametric frameworks convergence. find two dominant communities: The central members 1 are mostly service-related industries, while...

We study industries in Japan using community detection algorithms and evaluate their dynamics through the lenses of two alternative convergence frameworks. The results suggest robust patterns for one communities found. also observe different clubs between within communities. Overall, strong divergence low productivity are For entire period, was not statistically significant at any dis-aggregation level. However, after crisis exhibits signs overall speed reduces. This that policy may be localized