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Political momentum towards Africa-wide free trade has been intensifying. In March 2018, over 40 countries signed the African Continental Free Trade Area (AfCFTA) agreement. Once fully implemented, the AfCFTA is expected to cover all 55 African countries, with a combined GDP of about US$2.2 trillion. This SDN takes stock of recent trade developments in Sub-Saharan Africa and assesses the potential benefits and costs of the AfCFTA, as well as challenges to its successful implementation. In addition to increased trade flows both in existing and new products, the AfCFTA has the potential to generate substantial economic benefits for African countries. These benefits include higher income arising...
In March 2018, representatives of member countries of the African Union signed the African Continental Free Trade Area (AfCFTA) agreement. This agreement provides a framework for trade liberalization in goods and services and is expected to eventually cover all African countries. Using a multi-country, multi-sector general equilibrium model based on Costinot and Rodriguez-Clare (2014), we estimate the welfare effects of the AfCFTA for 45 countries in Africa. Three different model specifications—comprising both perfect competition and monopolistic competition—are used. Simulations include full elimination of import tariffs and partial but substantial reduction in non-tariff barriers (NTBs). Results reveal significant potential welfare gains from trade liberalization in Africa. As intra-regional import tariffs in the continent are already low, the bulk of these gains come from lowering NTBs. Overall gains for the continent are broadly similar under the three model specifications used, with considerable variation of potential welfare gains across countries in all model structures.
Why should people - and economies - save? This book on the savings problem in Latin America and the Caribbean suggests that, while saving to survive the bad times is important, saving to thrive in the good times is what really counts. People must save to invest in health and education, live productive and fulfilling lives, and make the most of their retirement years. Firms must save to grow their enterprises, employ more workers in better jobs, and produce quality goods. Governments must save to build the infrastructure required by a productive economy, provide quality services to their citizens, and assure their senior citizens a dignified, worry-free retirement. In short, countries must save not for the proverbial rainy day, but for a sunny day - a time when everyone can bask in the benefits of growth, prosperity, and well-being. This book is open access under a CC BY-NC-ND 3.0 IGO license.
Countries in Latin America and the Caribbean (LAC) have made important strides in promoting financial inclusion of firms and households. However, while the region is broadly at par with its peers on financial inclusion of firms, household inclusion lags behind. Nonetheless, there is substantial heterogeneity across LAC countries. Reducing borrowing costs and strengthening further the regulatory environment, while taking steps to protect efficiency and stability of the financial system, could help close financial inclusion gaps. Reducing financial participation and monitoring costs and relaxing collateral constraints will help spur growth and reduce inequality though trade-offs are likely, as illustrated in the case of Guatemala, El Salvador, and Peru.
Financial inclusion has been one of the key pillars of Colombia’s development strategy for a number of years. Financial inclusion policies have aimed at channeling microcredit to poor, spreading formal banking system usage, fostering electronic payment acceptance, and making financial services more affordable. Using simulations from a general equilibrium model it is possible to identify the most binding financial sector frictions that preclude financial inclusion of enterprises, and study the effects on growth and inequality of efforts to remove these frictions. The study finds that lowering contraints on collateral promises higher growth while inequality is better tackled through measures that lower the financial participation cost.
This paper studies growth determinants in 12 Latin American countries during the period 1950-85. In a simple growth accounting framework, the share of labor in income is found to be lower in the sample group than in developed countries, while factor productivity growth accounts for a larger proportion of growth in the fastest growing countries in the sample. Using panel data, macroeconomic stability is found to play, in addition to investment (physical and human), a crucial role in growth. To a lesser extent, growth is negatively correlated with government consumption and political instability. The terms of trade appear to have no significant effect on growth.
This compelling two-volume collection presents the major literary contributions to the economic analysis of the consequences of trade liberalization on growth, productivity, labor market outcomes and economic inequality. Examining the classical theories that stress gains from trade stemming from comparative advantage, the selection also comprises more recent theories of imperfect competition, where any potential gains from trade can stem from competitive effects or the international transmission of knowledge. Empirical contributions provide evidence regarding the explanatory power of these various theories, including work on the effects of trade openness on economic growth, wages, and income inequality, as well as evidence on the effects of trade on firm productivity, entry and exit. Prefaced by an original introduction from the editor, the collection will to be an invaluable research resource for academics, practitioners and those drawn to this fascinating topic.
This book examines the pattern of growth of the Spanish economy in the last few decades, and studies the causes of its labour productivity, and the special features characterising business cycles in Spain.
Bayesian Multivariate Time Series Methods for Empirical Macroeconomics provides a survey of the Bayesian methods used in modern empirical macroeconomics. These models have been developed to address the fact that most questions of interest to empirical macroeconomists involve several variables and must be addressed using multivariate time series methods. Many different multivariate time series models have been used in macroeconomics, but Vector Autoregressive (VAR) models have been among the most popular. Bayesian Multivariate Time Series Methods for Empirical Macroeconomics reviews and extends the Bayesian literature on VARs, TVP-VARs and TVP-FAVARs with a focus on the practitioner. The authors go beyond simply defining each model, but specify how to use them in practice, discuss the advantages and disadvantages of each and offer tips on when and why each model can be used.