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Statistics --- Tables --- Standard deviation --- Standard deviation

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That remittances are a stable source of external finance seems to have become the received wisdom. In addition, many studies have found remittances to behave counter-cyclically, increasing during crises and times of hardship for the recipient countries. Are remittances reliable macroeconomic stabilizers? To answer this question, the present study examines the stability, cyclicality, and stabilizing impact of remittances in comparison with the same three features for other foreign-exchange inflows, namely foreign direct investment and official development aid. The analysis is performed at the country and regional levels rather than at the aggregate or global level (on which much of the received wisdom rests), because policymakers are concerned with the impact of remittances in their country rather than at the global level. The main findings for 1980-2007 are that in a majority of countries: i) official development aid is more stable than remittances, and remittances are more stable than foreign direct investment; ii) official development aid is counter-cyclical, while remittances are pro-cyclical, although less so than foreign direct investment; and iii) official development aid is stabilizing and remittances are destabilizing, although less so than foreign direct investment. The paper suggests that it is necessary to examine counter-cyclicality separately from the stabilizing impact, as the former does not seem to always imply the latter.

Business cycle --- Correlation coefficient --- Correlation coefficients --- Debt Markets --- Developing Countries --- Economic activity --- Economic Conditions and Volatility --- Economic crises --- Economic development --- Economic Theory and Research --- Emerging Markets --- Finance and Financial Sector Development --- Financial crises --- Financial systems --- Fluctuations --- Growth volatility --- Income --- Inflation --- Low income --- Macroeconomic shocks --- Macroeconomics and Economic Growth --- Middle income --- Middle income countries --- Output volatility --- Private Sector Development --- Remittances --- Standard deviation

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Many highly-disaggregated cross-country indicators of institutional quality and the business environment have been developed in recent years. The promise of these indicators is that they can be used to identify specific reform priorities that policymakers and aid donors can target in their efforts to improve institutional and regulatory quality outcomes. Doing so however requires evidence on the partial effects of these many very detailed variables on outcomes of interest, for example, investor perceptions of corruption or the quality of the regulatory environment. In this paper we use Bayesian Model Averaging (BMA) to systematically document the partial correlations between disaggregated indicators and several closely-related outcome variables of interest using two leading datasets: the Global Integrity Index and the Doing Business indicators. We find major instability across outcomes and across levels of disaggregation in the set of indicators identified by BMA as important determinants of outcomes. Disaggregated indicators that are important determinants of one outcome are on average not important determinants of other very similar outcomes. And for a given outcome variable, indicators that are important at one level of disaggregation are on average not important at other levels of disaggregation. These findings illustrate the difficulties in using highly-disaggregated indicators to identify reform priorities.

Access to information --- Algorithms --- Causation --- Correlations --- Econometrics --- Economic activity --- Economic development --- Economic growth --- Economic Theory & Research --- Economists --- Empirical analysis --- Empirical evidence --- Environment --- Environmental Economics & Policies --- Governance --- Governance Indicators --- Instrumental variables --- Linear regression --- Macroeconomics and Economic Growth --- Matrix --- Probabilities --- Probability --- Sample size --- Science and Technology Development --- Standard deviation --- Standard deviations --- Statistical & Mathematical Sciences --- Statistical significance

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Recent estimates of the welfare cost of consumption volatility find that it is significant in developing nations, where it may reach an equivalent of reducing consumption by 10 percent per year. Hence, examining the determinants of consumption volatility is of utmost relevance. Based on cross-country data for the period 1960-2005, the paper explains consumption volatility using three sets of variables: one refers to the volatility of income and the persistence of income shocks; the second set of variables refers to policy volatility, considering the volatility of public spending and the size of government; while the third set captures the ability of agents to smooth shocks, and includes the depth of the domestic financial markets as well as the degree of integration to international capital markets. To allow for potential endogenous regressors, in particular the volatility of fiscal policy and the size of government, the system is estimated using the instrumental variables method. The results indicate that, besides income volatility, the variables with the largest and most robust impact on consumption volatility are government size and the volatility of public spending. Results also show that deeper and more stable domestic financial markets reduce the volatility of consumption, and that more integrated financial markets to the international capital markets are associated with lower volatility of consumption.

Currencies and Exchange Rates --- Developing countries --- Domestic financial markets --- Economic Conditions and Volatility --- Economic Stabilization --- Economic Theory & Research --- Emerging Markets --- Finance and Financial Sector Development --- Fiscal policy --- Government spending --- Growth rates --- Income --- Instrumental variables --- Macroeconomics and Economic Growth --- Output volatility --- Private Sector Development --- Standard deviation --- Volatility

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That remittances are a stable source of external finance seems to have become the received wisdom. In addition, many studies have found remittances to behave counter-cyclically, increasing during crises and times of hardship for the recipient countries. Are remittances reliable macroeconomic stabilizers? To answer this question, the present study examines the stability, cyclicality, and stabilizing impact of remittances in comparison with the same three features for other foreign-exchange inflows, namely foreign direct investment and official development aid. The analysis is performed at the country and regional levels rather than at the aggregate or global level (on which much of the received wisdom rests), because policymakers are concerned with the impact of remittances in their country rather than at the global level. The main findings for 1980-2007 are that in a majority of countries: i) official development aid is more stable than remittances, and remittances are more stable than foreign direct investment; ii) official development aid is counter-cyclical, while remittances are pro-cyclical, although less so than foreign direct investment; and iii) official development aid is stabilizing and remittances are destabilizing, although less so than foreign direct investment. The paper suggests that it is necessary to examine counter-cyclicality separately from the stabilizing impact, as the former does not seem to always imply the latter.

Business cycle --- Correlation coefficient --- Correlation coefficients --- Debt Markets --- Developing Countries --- Economic activity --- Economic Conditions and Volatility --- Economic crises --- Economic development --- Economic Theory and Research --- Emerging Markets --- Finance and Financial Sector Development --- Financial crises --- Financial systems --- Fluctuations --- Growth volatility --- Income --- Inflation --- Low income --- Macroeconomic shocks --- Macroeconomics and Economic Growth --- Middle income --- Middle income countries --- Output volatility --- Private Sector Development --- Remittances --- Standard deviation