Commodity export dependency confers ex post shocks and ex ante uncertainty upon producing countries. What reduces growth is not the prospect of volatile world prices, but the actual realization of negative shocks.Dehn estimates the effects on growth of commodity price shocks and uncertainty within an established empirical growth model. Ex post shocks and ex ante uncertainty have been treated in the empirical literature as if they were synonymous. But they are distinct concepts and it is both theoretically and empirically inappropriate to treat them as synonymous.He shows that the interaction between policy and aid is robust to the inclusion of variables capturing commodity price movements. More important, his approach departs in three ways from earlier empirical studies of the subject:- It deals with issues of endogeneity without incurring an excessive loss of efficiency.- It defines the dependent variable to allow an assessment of the longer-term implications of temporary trade shocks.- It imposes no priors on how commodity price movements affect growth, but compares and contrasts a range of competing shock and uncertainty specifications.Dehn resolves the disagreement about the long-run effect of positive shocks on growth, finding that positive shocks have no long-run impact on growth (that windfalls from trade shocks do not translate into sustainable increases in income).He shows that negative shocks have large, highly significant, and negative effects on growth, but that commodity price uncertainty does not affect growth.This paper - a product of Rural Development, Development Research Group - is part of a larger effort in the group to analyze the impact of commodity price risks on developing economies. The author may be contacted at [email protected].

The author estimates the effects on growth of commodity price shocks, and uncertainty within an established empirical growth model. Ex-post shocks, and ex-ante uncertainty have been treated in the empirical literature as if they were synonymous. But they are distinct concepts, and it is both theoretically, and empirically inappropriate to treat them as synonymous. He shows that the interaction between policy, and aid is robust to the inclusion of variables capturing commodity price movements. More important, his approach departs in three ways from earlier empirical studies of the subject: 1) It deals with issues of endogeneity, without incurring an excessive loss of efficiency. 2) It defines the dependent variable to allow an assessment of the longer-term implications of temporary trade shocks. 3) It imposes no priors on how commodity price movements affect growth, but compares and contrasts a range of competing shock, and uncertainty specifications. The author resolves the disagreement about the long-run effect of positive shocks on growth, finding that positive shocks have no long-run impact on growth (that windfalls from trade shocks do not translate into sustainable increases in income). He shows that negative shocks have large, highly significant, and negative effects on growth, but that commodity price uncertainty does not affect growth.

The recent global financial crisis exposed the serious limitations of existing economic and financial models. Not only did macro models fail to predict the crisis, they seemed incapable of explaining what was happening to the economy. Policymakers felt abandoned by the conventional tools of the now obsolete Washington consensus and the World Trade Organization’s oversimplified faith in free markets.The traditional models for agricultural commodities have so far failed to take into account the uncertain character of the global agricultural economy and its ferocious consequences in food price volatility, the worst in 300 years, yielding hunger riots throughout the world. This book explores the elements which could help to close this fundamental modeling gap. To what extent should traditional models be questioned regarding agricultural commodities? Are prices on these markets foreseeable? Can their evolution be either predicted or convincingly simulated, and if so, by which methods and models? Presenting contributions from acknowledged experts from several countries and backgrounds – professors at major international universities or researchers within specialized international organizations – the book concentrates on four issues: the role of expectations and capacity of prediction; policy issues related to development strategies and food security; the role of hoarding and speculation and finally, global modeling methods. The book offers a renewed wisdom on some of the core issues in the world economy today and puts forward important innovations in analyzing these core issues, among which the modular modeling design, the Momagri model being a seminal example of it. Reading this book should inspire fruitful revisions in policy-making to improve the welfare of populations worldwide.

The April 2012 issue of the World Economic Outlook assesses the prospects for the global economy, which has gradually strengthened after a major setback during 2011. The threat of a sharp global slowdown eased with improved activity in the United States and better policies in the euro area. Weak recovery will likely resume in the major advanced economies, and activity will remain relatively solid in most emerging and developing economies. However, recent improvements are very fragile. Policymakers must calibrate policies to support growth in the near term and must implement fundamental changes to achieve healthy growth in the medium term. Chapter 3 examines how policies directed at real estate markets can accelerate the improvement of household balance sheets and thus support otherwise anemic consumption. Chapter 4 examines how swings in commodity prices affect commodity-exporting economies, many of which have experienced a decade of good growth. With commodity prices unlikely to continue growing at the recent elevated pace, however, these economies may have to adapt their fiscal and other policies to lower potential output growth in the future.

"The conference was organized by the three editors of this book and took place on August 15-16, 2012 in Seattle."--Preface.

We develop an empirical model to predict banking crises in a sample of 60 low-income countries (LICs) over the 1981-2015 period. Given the recent emergence of financial sector stress associated with low commodity prices in several LICs, we assign price movements in primary commodities a key role in our model. Accounting for changes in commodity prices significantly increases the predictive power of the model. The commodity price effect is economically substantial and robust to the inclusion of a wide array of potential drivers of banking crises. We confirm that net capital inflows increase the likelihood of a crisis; however, in contrast to recent findings for advanced and emerging economies, credit growth and capital flow surges play no significant role in predicting banking crises in LICs.