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The relationship between resource extraction activity and economic growth has been widely studied in the literature, and the resource curse hypotheses emerged as a theory to explain the effects of resource windfalls on national economies. However, within countries, resource booms and busts can have distinctive effects across local economies, as extractive regions face particular economic consequences unlikely to be observed in nonresource regions. Empirically, most studies analysing the resource curse have relied on cross-country models to estimate effects and inform policy; however, the use of regional -within-country -analysis has gained attention from scholars lately, promoted by two advantages: it avoids unobserved country heterogeneities confounding economic outcomes caused by resources and exploits the subnational quasi-natural experimental conditions generated by endowments. This paper contributes to the resource curse literature by discussing its theoretical causes across scale (regional vs. national effects) and highlighting the empirical challenges involved in the analysis of mining economic impacts across regions. We complement the discussions by econometrically modelling economic growth across nonmetropolitan substate regions of Australia during a period of resource windfalls, finding that in most cases, resources have been a blessing for local economies, although negative effects have also been experienced in parts of the country.

This paper proposes a methodology for a spatial cost index of housing that considers spatial heterogeneity in properties across regions. The index is built by combining three different techniques to reduce the spatial heterogeneity in housing: Quasi-experimental methods, hedonic prices and Fisher spatial price index. Using microdata from the Chilean survey CASEN 2006, it is shown that the quasi-experimental method called Mahalanobis metric within propensity score calipers (MMWPS) leads to a significant reduction in the potential bias. The technique matches dwellings of a particular region with other properties of similar characteristics in the benchmark region (Metropolitan region). Once the houses are matched, a hedonic price model is computed, and a regional housing price matrix is created using Fisher spatial price indices. The paper concludes the existence of price differentials for homogeneous houses across regions in Chile. JEL Classification R21 · C43

The fly‐in/fly‐Out (FIFO) or, drive‐in/drive‐out (DIDO) labour system is a long‐distance commuting work arrangement to attract workers towards remote mineral or fossil fuel extraction areas, where they work in shifts and then return to their usual place of residence located in a different region. Along with more and cheaper transportation alternatives, the use of FIFO/DIDO systems have importantly increased in last decades around the world, which has translated to FIFO/DIDO systems operating even when already established cities are present in extractive regions. This paper uses the case of Chile, one of the most important mining countries in the world, to explore whether and in what extent these labor systems influence wage compensations. We find that FIFO/DIDO commuters obtain an average wage compensation of 2.4 per cent per commuted hour.

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