This paper focuses on identifying potential asymmetric responses of non-commodity output growth in times of positive and negative commodity terms-of-trade shocks. Using a sample of 27 oil-exporting countries and a panel VAR method, the study finds: 1) the short-and medium-run response of real non-commodity GDP growth is larger for negative shocks than positive shocks; 2) this asymmetry is more pronounced in countries with weak pre-existing fundamentals–high levels of public debt and low levels of international reserves–which also serve to amplify the volatility of the response; 3) the output response to positive shocks is stronger following a sustained period of CTOT increases, while the impact of negative shocks on output are more damaging when they occur after a period of CTOT decline.
In this paper, we analyze how lack of credibility and transparency of monetary and fiscal policies undermines the effectiveness of macroeconomic policies to isolate the economy from commodity price fluctuations. We develop a general equilibrium model for a commodity-exporting economy where macro policies are conducted through rules. We show that the responses of output, aggregate demand, and inflation to an increase in commodity price are magnified when these rules are imperfectly credible and lack transparency. If policies are imperfectly credible, then transparency helps private agents to learn the systematic behavior of the autorities, reducing the effects of commodity prices shocks. Coherent with the model, we show cross-country evidence that monetary policy transparency and fiscal credibility reduce the incidence of export price volatility on output volatility. Also, our results indicate that having an explicit fiscal rule and an inflation targeting regime contribute to isolate the economy from terms of trade fluctuations.
Commodity price shocks are an important type of external shock and are often cited as a problem for economic growth in sub-Saharan Africa. This paper quantifies the impact of agricultural commodity price shocks using a near vector autoregressive model. The novel aspect of this model is that we define an auxiliary variable that can potentially capture the definition of a price shock that allows us to determine whether the response of per capita Gross domestic product (GDP) growth in sub-Saharan Africa to these price shocks is asymmetric. We find that there is evidence of such asymmetric responses to commodity price shocks.
The behaviour of commodity prices never ceases to marvel economists, financial analysts, industry experts, and policymakers. Unexpected swings in commodity prices used to occur infrequently but have now become a permanent feature of global commodity markets. This book is about modelling commodity price shocks. It is intended to provide insights into the theoretical, conceptual, and empirical modelling of the underlying causes of global commodity price shocks. Three main objectives motivated the writing of this book. First, to provide a variety of modelling frameworks for documenting the frequency and intensity of commodity price shocks. Second, to evaluate existing approaches used for forecasting large movements in future commodity prices. Third, to cover a wide range and aspects of global commodities including currencies, rare–hard–lustrous transition metals, agricultural commodities, energy, and health pandemics. Some attempts have already been made towards modelling commodity price shocks. However, most tend to narrowly focus on a subset of commodity markets, i.e., agricultural commodities market and/or the energy market. In this book, the author moves the needle forward by operationalizing different models, which allow researchers to identify the underlying causes and effects of commodity price shocks. Readers also learn about different commodity price forecasting models. The author presents the topics to readers assuming less prior or specialist knowledge. Thus, the book is accessible to industry analysts, researchers, undergraduate and graduate students in economics and financial economics, academic and professional economists, investors, and financial professionals working in different sectors of the commodity markets. Another advantage of the book’s approach is that readers are not only exposed to several innovative modelling techniques to add to their modelling toolbox but are also exposed to diverse empirical applications of the techniques presented.
Many emerging economies depend on commodities whose prices are volatile. High prices for these commodities naturally help those sectors related to the production of the commodities, but the economic benefits for other sectors are ambiguous. These effects can be different according to the characteristics of the sector, leading to a positive or negative sectoral effect depending on several features. Also, commodity price shocks may affect spending differently according to the characteristics of the population. A feature prevalent in many emerging economies is a low degree of banking penetration, which can affect the magnitude of commodity shocks, because banking services are related to how people save and borrow, affecting their ability to smooth spending when they face income shocks. This dissertation studies the effects of commodity price shocks in exporting economies, analyzing the overall and sectoral effects, as well as the regional effects according to access to banking services among inhabitants. The first chapter analyzes the effect of commodity price fluctuations on both overall and sectoral outcomes in a commodity-exporting economy. Using Chilean and international copper market data, I find positive copper price changes stemming from copper-specific demand shocks generate a broad GDP expansion with no visible decline in the exports of any sector, including manufacturing. These results provide evidence against the Dutch disease hypothesis involving the crowding out effect of commodity price increases on the manufacturing sector. The second chapter studies how features of a commodity-exporting economy such as the degree of substitution between domestic and foreign goods, the income effect on labor supply, and trade policy related to tariffs on imports shape overall and sectoral effects of commodity price shocks. For that, I estimate key structural parameters of a small open economy business-cycle model with 6 sectors by matching my empirical impulse responses and find that a low degree of substitution between domestic and foreign goods explains the positive sectoral effect of a commodity price shock. Then, I evaluate how tariffs on imports shape the effect of commodity price shocks and find low tariffs make the small open economy less sensitive to commodity price shocks when the elasticity of substitution between domestic goods and imports is small. The third chapter studies the relationship between access to banking services and the magnitude of external shocks. Using quarterly data of the number of checking and savings bank accounts per person as an indicator of access to banking services, I analyze the effects of commodity price changes conditional on the number of bank accounts per person across Mexican states. I find decreases in commodity prices generate a bigger contraction in total production in states with low numbers of bank accounts per person. A rise in commodity prices generates a bigger expansion of the number of formal workers as well as a wider contraction in the number of informal workers in regions with a low number of bank accounts per person
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.
Commodities have become an important component of many investors' portfolios and the focus of much political controversy over the past decade. This book utilizes structural models to provide a better understanding of how commodities' prices behave and what drives them. It exploits differences across commodities and examines a variety of predictions of the models to identify where they work and where they fail. The findings of the analysis are useful to scholars, traders and policy makers who want to better understand often puzzling - and extreme - movements in the prices of commodities from aluminium to oil to soybeans to zinc.
This paper investigates the response of consumer price inflation to changes in domestic fuel prices, looking at the different categories of the overall consumer price index (CPI). We then combine household survey data with the CPI components to construct a CPI index for the poorest and richest income quintiles with the view to assess the distributional impact of the pass-through. To undertake this analysis, the paper provides an update to the Global Monthly Retail Fuel Price Database, expanding the product coverage to premium and regular fuels, the time dimension to December 2020, and the sample to 190 countries. Three key findings stand out. First, the response of inflation to gasoline price shocks is smaller, but more persistent and broad-based in developing economies than in advanced economies. Second, we show that past studies using crude oil prices instead of retail fuel prices to estimate the pass-through to inflation significantly underestimate it. Third, while the purchasing power of all households declines as fuel prices increase, the distributional impact is progressive. But the progressivity phases out within 6 months after the shock in advanced economies, whereas it persists beyond a year in developing countries.
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.
