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Forecasting commodity prices using long-short-term memory neural networks
This paper applies a recurrent neural network (RNN) method to forecast cotton and oil prices. We show how these new tools from machine learning, particularly Long-Short Term Memory (LSTM) models, complement traditional methods. Our results show that machine learning methods fit reasonably well with the data but do not outperform systematically classical methods such as Autoregressive Integrated Moving Average (ARIMA) or the naïve models in terms of out of sample forecasts. However, averaging the forecasts from the two type of models provide better results compared to either method. Compared to the ARIMA and the LSTM, the Root Mean Squared Error (RMSE) of the average forecast was 0.21 and 21.49 percent lower, respectively, for cotton. For oil, the forecast averaging does not provide improvements in terms of RMSE. We suggest using a forecast averaging method and extending our analysis to a wide range of commodity prices.
Detecting threshold effects in price transmission
The analysis of price transmission plays a key role in understanding markets integration. This helps identify the nature of the relationship between geographically distant markets and cross-commodity price transmission, as well as the impact of liberalization policies and the identification of regions exposed to systemic shocks. This technical note contributes to the debate between symmetric and asymmetric price transmission and proposes to present the traditional and new approaches for detecting threshold effects in price transmission while focusing on their advantages and limitations. There is no one-size-fits-all method to detect threshold effects in price transmission. Experts need to select a combination of elements (context of study, the economy under consideration, data availability…) to justify the relevancy of their choice. Beyond the presentation of the methods for detecting thresholds in price transmission, we perform an application in the case of the rice market in Senegal. The results support the evidence of an asymmetric price transmission between world and domestic prices in the short-run and a symmetric transmission in the long-run.
Assessing the contribution of PIM to strengthening the capacity of developing country representatives to represent their interests in trade negotiations related to agriculture
The purpose of this review is to assess the extent to which the research outputs of Flagship 3, cluster on The Policy Environment for Value Chains (cluster 3.1) of the CGIAR Research Program on Policies, Institutions, and Markets (PIM) have been used to inform decisions and behaviors of representatives of government organizations, development agencies, researchers, donors, private firms, nongovernment organizations, and other users. The assessment both reviews the achievement of past milestones as well as looks forward to how re-searchers should support the trade agenda in developing countries going forward through their research and communication of research and what should be the focus in ...
Gender and trade in Africa: Case study of Niger
The evidence on the impact of trade liberalization on gender inequalities is not fully established yet, nor is the impact of gender inequalities on trade policy outcomes. Sociocultural norms, legal barriers, and socioeconomic disadvantages are the main gender-based discrimination that affect the distribution of trade benefits between men and women. This study applied to Niger assesses the distributional effects of trade reforms between men and women and sheds light on the impact of gender-based barriers on the outcome of trade reforms. The Common External Tariff (CET) of the Economic Community of West African States has guided Niger’s trade policy since its implementation in 2015. Thus, th...
Unit root tests: Common pitfalls and best practices
Since the seminal paper by Granger and Newbold (1974) on spurious regressions, applied econometricians have become aware of the consequences of unit roots in empirical analysis with time series data. Yet one can still find many published papers with unit root tests implemented in an inappropriate way. The objective of this Technical Note is to highlight the common pitfalls and best practices when testing for unit roots. In addition to the theoretical discussion, we provide examples using price data from Kenya, Mali, Togo, and South Africa to illustrate the procedures we think are worth following.
Existing data to measure African trade
One finds a broad consensus in the literature regarding the lack of good information on trade in Africa, particularly intraregional trade. This paper attempts to identify gaps and remedies in measuring and tracking trade in Africa. We review the major international and regional databases that track trade in Africa, identifying the gaps therein. We also review the studies that have attempted to track informal trade between African countries, and we look at the major ongoing initiatives to track such informal trade. It appears that both international and regional databases suffer from a lack of reporting or from faulty reporting of African trade statistics. Informal trade flows pose an ongoing...
The European Union–West Africa Economic Partnership Agreement
Despite recent modifications, the Economic Partnership Agreement (EPA) between the European Union (EU) and West African (WA) countries is still being criticized for its potential detrimental effects on WA countries. This paper provides updated evidence on the impact of the EPA on these countries. A dynamic multicountry, multisector computable general equilibrium trade model with modeling of the dual-dual economy and with a consistent tariff aggregator is used to simulate a series of new scenarios that include updated information on the agreement. We also go beyond estimating macrolevel economic effects to analyze the impacts on poverty. The policy simulation results show that the implementation of the EPA between the EU and WA countries would have marginal but positive impacts on Burkina Faso and Côte d’Ivoire and negative impacts on Benin, Ghana, Nigeria, Senegal, and Togo. The impact on poverty indicators in Ghana and Nigeria would be marginal. From the perspective of WA countries, this study supports the view that recent EU concessions are not sufficient and that domestic fiscal reforms are needed in WA countries themselves.
Economic accounts for agriculture and farm income in Senegal
A monitoring and evaluation (M&E) system is of critical importance for evidence- and outcome-based planning and implementation in agriculture. The availability of and access to timely and reliable data to inform the M&E system is an undeniable asset. Our analysis highlights the use of survey data to generate relevant information and knowledge on the agricultural sector. The Poverty Monitoring Survey carried out in Senegal in 2011 is used to build the economic accounts for agriculture, which identify a value added of 581 billion CFA francs generated by Senegal’s farm households, representing 60 percent of the sector’s value added in 2011. The average farm household generated 646,500 CFA francs from farming in that same year. The information from the economic accounts for agriculture offers valuable inputs for decision-support tools such as the geographical information platforms (e-atlas) and social accounting matrixes used in strategic analyses and agricultural policy planning.
COVID-19 impact on informal trade: Disruptions to livelihoods and food security in Africa
International trade of food and agricultural products plays a major role in ensuring food security and livelihoods across the African continent. Yet formal intracontinental trade data give only a glimpse of trade’s importance for African consumers and producers because—depending on the country and bor-der—up to 99 percent of agricultural trade crosses borders informally.1 In West Africa, for example, an estimated 30 percent of staple foods evade formal customs, and the proportion can be much greater for highly perishable fruits and vegetables. Consequently, formal trade data paint only a limited picture of COVID-19’s disruptive effect on trade within the African continent—and of related nutrition and liveli-hood consequences. To better understand the current and future impacts on African food producers and consumers, we must examine both the magnitude and unique mechanisms of informal cross-bor-der trade (ICBT).
MIRAGRODEP with endogenous tariffs 1.0: Documentation
MIRAGRODEP with endogenous tariffs is a recursive dynamic multi-region, multi-sector Computable General Equilibrium (CGE) model based on MIRAGRODEP which in turn is based on MIRAGE (Modelling International Relations Under Applied General Equilibrium). It constitutes an extension of the MIRAGRODEP model that allows the user to perform analysis involving endogenous tariffs such as designing optimal common external tariffs (CET) in customs unions. The model is particularly suitable for trade policy analysis that require designing optimal levels of tariffs for regional trade agreements.
