Thought-provoking and clearly explained, the new edition provides students of international economics and international business with a rigorous explanation of global economic theory and policy, both current trends and historic developments. It explores key models through case studies and review questions, enabling students to challenge the reporting of economic events by press and government alike. Split into 2 parts – International Trade and International Finance – the text explains conceptual building blocks before applying them to current events and controversies. Key issues discussed include: the influence of transportation costs economies of scale and the new economic geography the evaluation of preferential trade agreements european Economic and Monetary Union the integration of international financial markets international financial crises, China and other emerging economies. Fully illustrated with tables and figures to allow students to visualise the issues discussed, the lively prose gives this book a refreshing approach. An accompanying website also provides context and coverage of the international financial crisis of October 2008, including the so-called ‘credit crunch’ and the collapse of some banking institutions.
Financial crises pose unique challenges for forecast accuracy. Using the IMF’s Monitoring of Fund Arrangement (MONA) database, we conduct the most comprehensive evaluation of IMF forecasts to date for countries in times of crises. We examine 29 macroeconomic variables in terms of bias, efficiency, and information content to find that IMF forecasts add substantial informational value as they consistently outperform naive forecast approaches. However, we also document that there is room for improvement: two thirds of the key macroeconomic variables that we examine are forecast inefficiently and 6 variables (growth of nominal GDP, public investment, private investment, the current account, net transfers, and government expenditures) exhibit significant forecast bias. Forecasts for low-income countries are the main drivers of forecast bias and inefficiency, reflecting perhaps larger shocks and lower data quality. When we decompose the forecast errors into their sources, we find that forecast errors for private consumption growth are the key contributor to GDP growth forecast errors. Similarly, forecast errors for non-interest expenditure growth and tax revenue growth are crucial determinants of the forecast errors in the growth of fiscal budgets. Forecast errors for balance of payments growth are significantly influenced by forecast errors in goods import growth. The results highlight which macroeconomic aggregates require further attention in future forecast models for countries in crises.
The literature measuring the impact of Preferential Trade Agreements (PTA) and WTO membership on trade flows has produced remarkably diverse results. Rose's (2004) seminal paper reports a range of specifications that show no WTO effects, but Subramanian and Wei (2007) contend that he does not fully control for multilateral resistance (which could bias WTO estimates). Subramanian and Wei (2007) address multilateral resistance comprehensively to report strong WTO trade effects for industrialized countries but do not account for unobserved bilateral heterogeneity (which could inflate WTO estimates). We unify these two approaches by accounting for both multilateral resistance and unobserved bilateral heterogeneity, while also allowing for individual trade effects of PTAs. WTO effects vanish and remain insignificant throughout once multilateral resistance, unobserved bilateral heterogeneity, and individual PTA effects are introduced. The result is robust to the use of alternative definitions and coding conventions for WTO membership that have been employed by Rose (2004), Tomz et al. (2007), or by Subramanian and Wei's (2007).
Discussing how and why institutions influence growth, this volume provides an overview of the literature on the impact of institutions on growth. It considers theoretical and empirical relationships between institutions and growth.
Financial crises pose unique challenges for forecast accuracy. Using the IMF’s Monitoring of Fund Arrangement (MONA) database, we conduct the most comprehensive evaluation of IMF forecasts to date for countries in times of crises. We examine 29 macroeconomic variables in terms of bias, efficiency, and information content to find that IMF forecasts add substantial informational value as they consistently outperform naive forecast approaches. However, we also document that there is room for improvement: two thirds of the key macroeconomic variables that we examine are forecast inefficiently and 6 variables (growth of nominal GDP, public investment, private investment, the current account, net transfers, and government expenditures) exhibit significant forecast bias. Forecasts for low-income countries are the main drivers of forecast bias and inefficiency, reflecting perhaps larger shocks and lower data quality. When we decompose the forecast errors into their sources, we find that forecast errors for private consumption growth are the key contributor to GDP growth forecast errors. Similarly, forecast errors for non-interest expenditure growth and tax revenue growth are crucial determinants of the forecast errors in the growth of fiscal budgets. Forecast errors for balance of payments growth are significantly influenced by forecast errors in goods import growth. The results highlight which macroeconomic aggregates require further attention in future forecast models for countries in crises.
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