This paper analyses inflation dynamics in the Central African Economic and Monetary Community (CEMAC) using a constructed dataset for country-specific commodity price indices and panel cointegrated vector autoregressive (VAR) models. Imported commodity price shocks are significant in explaining...

In this paper we investigate whether better information about the macroeconomic environment of an economy has a positive impact on its capital inflows, namely portfolio and foreign direct investment (FDI). The purpose of our study is to explicitly quantify information asymmetries by compliance...

Mobilizing more revenue is a priority for sub-Saharan African (SSA) countries. Countries have to finance their development agendas, and weak revenue mobilization is the root cause of fiscal imbalances in several countries. This paper reviews the experience of low-income SSA countries in...

This paper develops a structural macroeconometric model of the world economy, disaggregated into thirty five national economies. This panel unobserved components model features a monetary transmission mechanism, a fiscal transmission mechanism, and extensive macrofinancial linkages, both within...

After earlier success, growth performance in most Caribbean countries has been disappointing since the early 1990s. With slower growth, output has fallen behind that of relevant comparator countries. This paper analyzes the growth experience of the Caribbean countries from a cross country...

Infrastructure bottlenecks have been identified as a key obstacle to growth affecting productivity and market efficiency, and hindering domestic integration and export performance. This paper assesses the state of Brazil's infrastructure, in light of past investment trends and various quality...

Both sides of the institutions and growth debate have resorted largely to microeconometric techniques in testing hypotheses. In this paper, I build a panel structural vector autoregression (SVAR) model for a short panel of 119 countries over 10 years and find support for the institutions...

We leverage insights from machine learning to optimize the trade off between bias and variance when estimating economic models using pooled datasets. Specifically, we develop a simple algorithm that estimates the similarity of economic structures across countries and selects the optimal pool of...

Assessing when credit is excessive is important to understand macro-financial vulnerabilities and guide macroprudential policy. The Basel Credit Gap (BCG) - the deviation of the credit-to-GDP ratio from its long-term trend estimated with a one-sided Hodrick-Prescott (HP) filter - is the...

Dollarization of liabilities (DL) has emerged as a key factor in explaining the vulnerability of emerging markets to financial and currency crises. The quot;usual suspectsquot; of causing DL include fatalistic determinants such as a long history of unsound macroeconomic policies, financial...