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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.
United States monetary policy has traditionally been modeled under the assumption that the domestic economy is immune to international factors and exogenous shocks. Such an assumption is increasingly unrealistic in the age of integrated capital markets, tightened links between national economies, and reduced trading costs. International Dimensions of Monetary Policy brings together fresh research to address the repercussions of the continuing evolution toward globalization for the conduct of monetary policy. In this comprehensive book, the authors examine the real and potential effects of increased openness and exposure to international economic dynamics from a variety of perspectives. Their findings reveal that central banks continue to influence decisively domestic economic outcomes—even inflation—suggesting that international factors may have a limited role in national performance. International Dimensions of Monetary Policy will lead the way in analyzing monetary policy measures in complex economies.
The sharp drop in oil prices is one of the most important global economic developments over the past year. The SDN finds that (i) supply factors have played a somewhat larger role than demand factors in driving the oil price drop, (ii) a substantial part of the price decline is expected to persist into the medium term, although there is large uncertainty, (iii) lower oil prices will support global growth, (iv) the sharp oil price drop could still trigger financial strains, and (v) policy responses should depend on the terms-of-trade impact, fiscal and external vulnerabilities, and domestic cyclical position.
Discusses economic issues associated with exchange rates, commodity prices, the economic size of countries and alternatives to PPP exchange rates.
Fluctuations of commodity prices, most notably of oil, capture considerable attention and have been tied to important economic effects. This book advances our understanding of the consequences of these fluctuations, providing both general analysis and a particular focus on the countries of the Pacific Rim.
This paper presents a simple macroeconomic model of the oil market. The model incorporates features of oil supply such as depletion, endogenous oil exploration and extraction, as well as features of oil demand such as the secular increase in demand from emerging-market economies, usage efficiency, and endogenous demand responses. The model provides, inter alia, a useful analytical framework to explore the effects of: a change in world GDP growth; a change in the efficiency of oil usage; and a change in the supply of oil. Notwithstanding that shale oil production today is more responsive to prices than conventional oil, our analysis suggests that an era of prolonged low oil prices is likely to be followed by a period where oil prices overshoot their long-term upward trend.
This book depicts and reveals the socioeconomic dynamics of the COVID-19 crisis, and its global, regional, and local perspectives. Explicitly interdisciplinary, this volume embraces a wide spectrum of topics across economics, business, public management, psychology, and public health. Written by global experts, each chapter offers a snapshot of an emerging aspect of the COVID-19 crisis for the benefit of academics and students, as well as the institutional, economic, social, and developmental policymakers and health practitioners on the ground.
In economics, many quantities are related to each other. Such economic relations are often much more complex than relations in science and engineering, where some quantities are independence and the relation between others can be well approximated by linear functions. As a result of this complexity, when we apply traditional statistical techniques - developed for science and engineering - to process economic data, the inadequate treatment of dependence leads to misleading models and erroneous predictions. Some economists even blamed such inadequate treatment of dependence for the 2008 financial crisis. To make economic models more adequate, we need more accurate techniques for describing dependence. Such techniques are currently being developed. This book contains description of state-of-the-art techniques for modeling dependence and economic applications of these techniques. Most of these research developments are centered around the notion of a copula - a general way of describing dependence in probability theory and statistics. To be even more adequate, many papers go beyond traditional copula techniques and take into account, e.g., the dynamical (changing) character of the dependence in economics.