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Using the dating algorithm by Harding and Pagan (2002) on a quarterly database for 23 emerging market economies (EMEs) and 12 developed countries over the period 1980.Q1 - 2006.Q2, the authors proceed to characterize and compare the business cycle features of these two groups. They first find that recessions are deeper and more frequent among EMEs (especially, among LAC countries) and that expansions are more sizable and longer (especially, among East Asian countries). After this characterization, this paper explores the linkages between the cost of recessions (as measured by the average annual rate of output loss in the peak-to-trough phase of the cycle) and several country-specific factors. The main findings are: (a) adverse terms of trade shocks raises the cost of recessions in countries with a more open trade regime, deeper financial markets and, surprisingly, a more diversified output structure. (b) U.S. interest rate shocks seem to have a significant impact on the cost of recessions in East Asian countries. (c) Recessions tend to be deeper if they coincide with a sudden stop, but the effect tends to be mitigated in countries with deeper domestic credit markets. (d) Countries with stronger institutions tend to have less costly recessions.

Banks & Banking Reform --- Business cycle --- Business cycles --- Central bank --- Commodity prices --- Credit markets --- Currencies and Exchange Rates --- Debt Markets --- Domestic credit --- Economic policies --- Economic Theory & Research --- Emerging economies --- Emerging market --- Emerging market economies --- Emerging Markets --- Exchange rate --- Finance and Financial Sector Development --- Financial markets --- Financial shocks --- Interest rate --- International bank --- Macroeconomic volatility --- Macroeconomics and Economic Growth --- Output loss --- Private Sector Development --- Tax --- Trade regime

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The author attempts to analyze whether price-based controls on capital inflows are successful in insulating economies against external shocks. He presents results from vector auto regressive (VAR) models that indicate that Chile and Colombia, countries that adopted controls on capital inflows, seem to have been relatively well insulated against external disturbances. Subsequently, he uses the auto regressive distributed lag (ARDL) approach to co-integration to isolate the effects of the capital controls on the pass-through of external disturbances to domestic interest rates in those economies. The author concludes that there is evidence that the capital controls allowed for greater policy autonomy.

Bank Policy --- Capital Account --- Capital Flows --- Capital Inflows --- Credit Expansion --- Currencies and Exchange Rates --- Debt Markets --- Developing Countries --- Domestic Interest Rates --- Economic Stabilization --- Economic Theory and Research --- Emerging Markets --- Exchange --- Finance and Financial Sector Development --- Financial Literacy --- Financial Shocks --- Interest --- International Financial Markets --- Liquidity --- Macroeconomic Management --- Macroeconomics and Economic Growth --- Market --- Market Failures --- Moral Hazard --- Private Sector Development --- Real Exchange Rate --- Reserve --- Reserve Requirement --- Reserve Requirements --- Taxes

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The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs and lows in volatility, and crashes and recessions. At the most basic level, such recurrent events can be summarized using binary indicators showing if the event will occur or not. These indicators are constructed either directly from data or indirectly through models. Because they are constructed, they have different properties than those arising in microeconometrics, and how one is to use them depends a lot on the method of construction.This book presents the econometric methods necessary for the successful modeling of recurrent events, providing valuable insights for policymakers, empirical researchers, and theorists. It explains why it is inherently difficult to forecast the onset of a recession in a way that provides useful guidance for active stabilization policy, with the consequence that policymakers should place more emphasis on making the economy robust to recessions. The book offers a range of econometric tools and techniques that researchers can use to measure recurrent events, summarize their properties, and evaluate how effectively economic and statistical models capture them. These methods also offer insights for developing models that are consistent with observed financial and real cycles.This book is an essential resource for students, academics, and researchers at central banks and institutions such as the International Monetary Fund.

E-books --- Economics --- Statistical methods --- Economic statistics --- Econometrics --- Statistical methods. --- Macroeconomics --- Econometrics. --- Econometric models. --- Business cycles --- Mathematical models. --- Economics, Mathematical --- Statistics --- Mathematical models --- Markov switching models. --- amplitudes. --- binary states. --- bivariate series. --- business cycles. --- contraction. --- cycles financial series. --- cycles. --- dating cycles. --- dating. --- durations. --- economic activity. --- economic models. --- economic recessions. --- economy. --- event indicators. --- expansion. --- financial cycles. --- financial shocks. --- fluctuation. --- global financial crisis. --- linear autoregression. --- macroeconomy. --- microeconometrics. --- model-based rules. --- multiple series. --- oscillation. --- peaks. --- policymakers. --- prediction. --- recession. --- recurrent events. --- recurrent states. --- regression. --- statistics. --- synchronization. --- time series. --- time. --- troughs. --- univariate series. --- volatility.