, and an IMF Staff Team DISCLAIMER: Staff Discussion Notes (SDNs) showcase policy-related analysis and research being developed by IMF staff members and are published to elicit comments and to encourage debate. The views expressed in SDNs are those of the author(s) and do not necessarily represent the views of the IMF, its Executive Board, or IMF management.
This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate. This paper proposes an integrated approach to fiscal policy analysis in oil producing countries (OPCs) geared towards addressing their unique and complex policy challenges. First, an accurate assessment of the fiscal stance in OPCs can be obscured by large and volatile oil revenue flows. Second, uncertain and volatile oil revenue flows can complicate the management of macroeconomic policies in these countries. Third, given the exhaustibility of oil reserves, OPCs need to address longer-term sustainability and intergenerational equity issues. The use of non-oil fiscal indicators, stress tests, medium-term frameworks, and permanent oil income models can greatly aid in addressing these challenges.
State-owned enterprises (SOEs) are present in key sectors of the economies around the world. While they can provide an important public service, there is widespread concern that their activities are negatively affected by corruption. However, there is limited cross-country analysis on the costs of corruption for SOEs. We present new evidence on how corruption affects the performance of SOEs using firm level data across a large number of countries. One striking result is that SOEs perform as well as private firms in core sectors when corruption is low. Taking advantage of a novel database reforms, we also show that SOE governance reforms can generate significant performance gains.
This paper identifies leading indicators of fiscal crises based on a large sample of countries at different stages of development over 1970-2015. Our results are robust to different methodologies and sample periods. Previous literature on early warning sistems (EWS) for fiscal crises is scarce and based on small samples of advanced and emerging markets, raising doubts about the robustness of the results. Using a larger sample, our analysis shows that both nonfiscal (external and internal imbalances) and fiscal variables help predict crises among advanced and emerging economies. Our models performed well in out-of-sample forecasting and in predicting the most recent crises, a weakness of EWS in general. We also build EWS for low income countries, which had been overlooked in the literature.
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