Exchange Rate Misalignment And Growth A Myth

The impact of real exchange rate movements on GDP growth is a hotly debated issue both in policy and academic circles. In this paper, we provide evidence suggesting that the association between exchange rate misalignment and growth for a broad panel of countries is very weak. Controlling for country fixed effects, time effects and initial GDP, a more depreciated currency is associated with higher growth if one does not exclude outliers. However, this positive association always vanishes after controling for the savings rate. Importantly, this applies for both a large panel of countries and for the emerging economies subsample.

Real exchange rate (RER) misalignment is now a standard concept in international macroeconomic theory and policy. However, there is neither a consensus indicator of misalignment, nor an agreed upon methodology for constructing such an indicator. This paper constructs an indicator of RER misalignment for a large sample of developed and developing countries. This indicator is based on a well-structured but simple extension of an IS-LM model of an open economy. The paper then uses regression analysis to explore whether RER misalignments are related to country growth experiences. Interestingly the work finds that there are important non-linearities in the relationship. Only very high over-valuations" appear to be associated with slower economic growth, while moderate to high (but not very high) under-valuations appear to be associated with more rapid economic growth.

There is good reason and much evidence to suggest that the real exchange rate matters for economic growth, but why? The "Washington Consensus" (WC) view holds that real exchange rate misalignment implies macroeconomic imbalances that are themselves bad for growth. In contrast, Rodrik (2008) argues that undervaluation relative to purchasing power parity is good for growth because it promotes the otherwise inefficiently small tradable sector. Our main result is that WC and the Rodrik views of the role of misalignment in growth are observationally equivalent for the main growth regressions he reports. There is an identification problem: Determinants of misalignment are also likely to be independent drivers of growth, and these types of growth regressions are hard-pressed to disentangle the different channels. However, we confirm that not only are overvaluations bad but undervaluations are also good for growth, a result squarely consistent with the Rodrik story but one that requires some gymnastics from the WC viewpoint.

2019 marked the 40th anniversary of the publication of Anthony P. Thirlwall’s classic paper that laid out what became known as Thirlwall’s law. This article introduced and provided empirical evidence in favor of the proposition that the long-run rate of growth of an economy compatible with balance-of-payments equilibrium can be approximated by the simple rule of the ratio of the growth of exports to the income elasticity of demand for imports.

This publication focuses on the analysis of the most recent socioeconomic developments in two ways. The first focus aims at demonstrating the analytical observation of routinely monitored economic and social variables of the Arab region in the global context (the monitoring part). The second focus aims at an in-depth analysis on the regional impacts of ongoing fiscal reforms (the thematic part).

The world economy and global trade are experiencing a broad-based cyclical upswing. Since October 2017, global growth outcomes and the outlook for 2018–19 have improved across all regions, reinforced by the expected positive near-term spillovers from tax policy changes in the United States. Accommodative global financial conditions, despite some tightening and market volatility in early February 2018, have been providing support to economic recovery. Higher commodity prices are contributing to an improved outlook for commodity exporters. The US and Canadian economies posted solid gains in 2017 and are expected to grow above potential in the near term. Despite the improved near-term outlook, however, medium-term prospects are tilted downwards. Growth prospects for advanced economies are subdued and many emerging market and developing economies are projected to grow in per capita terms more slowly than advanced economies, raising concerns about income convergence. While risks appear broadly balanced in the near term, they skew to the downside over the medium term, including a possible sharp tightening of financial conditions, waning popular support for global economic integration, growing trade tensions and risks of a shift toward protectionist policies, and geopolitical strains.

Along with the development of economic globalization, many countries have begun to relax their controls on their capital accounts. However, the recent financial crises in Latin American countries as well as the exchange rate crises in Southeast Asian countries have shown that there is major risk associated with capital account liberalization.This b

This book presents a selection of peer-reviewed contributions on the latest advances in time series analysis, presented at the International Conference on Time Series and Forecasting (ITISE 2019), held in Granada, Spain, on September 25-27, 2019. The first two parts of the book present theoretical contributions on statistical and advanced mathematical methods, and on econometric models, financial forecasting and risk analysis. The remaining four parts include practical contributions on time series analysis in energy; complex/big data time series and forecasting; time series analysis with computational intelligence; and time series analysis and prediction for other real-world problems. Given this mix of topics, readers will acquire a more comprehensive perspective on the field of time series analysis and forecasting. The ITISE conference series provides a forum for scientists, engineers, educators and students to discuss the latest advances and implementations in the foundations, theory, models and applications of time series analysis and forecasting. It focuses on interdisciplinary research encompassing computer science, mathematics, statistics and econometrics.