TY - BOOK ID - 84538563 TI - Estimating Indexes of Coincident and Leading Indicators : An Application to Jordan. AU - Mongardini, Joannes AU - Saadi-Sedik, Tahsin PY - 2003 SN - 1462381146 1452787522 1282106465 9786613799814 1451903693 PB - Washington, D.C. : International Monetary Fund, DB - UniCat KW - Economic indicators KW - Economic forecasting KW - Economics KW - Forecasting KW - Business indicators KW - Indicators, Business KW - Indicators, Economic KW - Leading indicators KW - Economic history KW - Quality of life KW - Index numbers (Economics) KW - Social indicators KW - Finance: General KW - Macroeconomics KW - Industries: General KW - Business Fluctuations KW - Cycles KW - Prices, Business Fluctuations, and Cycles: Forecasting and Simulation KW - Macroeconomic Aspects of International Trade and Finance: Forecasting and Simulation KW - Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data) KW - Macroeconomics: Production KW - General Financial Markets: General (includes Measurement and Data) KW - Economic growth KW - Finance KW - Cyclical indicators KW - Business cycles KW - Industrial production KW - Emerging and frontier financial markets KW - Production index KW - Production KW - Financial markets KW - Industries KW - Financial services industry KW - Economic theory KW - Jordan UR - https://www.unicat.be/uniCat?func=search&query=sysid:84538563 AB - The analysis of coincident and leading indicators can help policymakers gauge the short-term direction of economic activity. While such analysis is well established in advanced economies, it has received relatively little attention in many emerging market and developing economies, reflecting in part the lack of sufficient historical data to determine the reliability of these indicators. This paper presents an econometric approach to deriving composite indexes of coincident and leading indicators for a small open economy, Jordan. The results show that, even with limited monthly observations, it is possible to establish meaningful economic and statistically significant relations between indicators from different sectors of the economy and the present and future direction of economic activity. ER -