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Many central banks and government agencies use nowcasting techniques to obtain policy relevant information about the business cycle. Existing nowcasting methods, however, have two critical shortcomings for this purpose. First, in contrast to machine-learning models, they do not provide much if any guidance on selecting the best explantory variables (both high- and low-frequency indicators) from the (typically) larger set of variables available to the nowcaster. Second, in addition to the selection of explanatory variables, the order of the autoregression and moving average terms to use in the baseline nowcasting regression is often set arbitrarily. This paper proposes a simple procedure that simultaneously selects the optimal indicators and ARIMA(p,q) terms for the baseline nowcasting regression. The proposed AS-ARIMAX (Adjusted Stepwise Autoregressive Moving Average methods with exogenous variables) approach significantly reduces out-of-sample root mean square error for nowcasts of real GDP of six countries, including India, Argentina, Australia, South Africa, the United Kingdom, and the United States.
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We quantify the extent to which public-sector employment crowds out private-sector employment using specially assembled datasets for a large cross-section of developing and advanced countries, and discuss the implications for countries in the Middle East, North Africa, Caucasus and Central Asia. These countries simultaneously display high unemployment rates, low private-sector employment rates and high proportions of government-sector employment. Regressions of either private-sector employment rates or unemployment rates on two measures of public-sector employment point to full crowding out. This means that high rates of public employment, which incur substantial fiscal costs, have a large negative impact on private employment rates and do not reduce overall unemployment rates.
Reprint of the original, first published in 1867.
Index of archaeological papers published in 1891, under the direction of the Congress of Archaeological Societies in union with the Society of Antiquaries.
The authors examine the numerous structural and policy changes Indian authorities have adopted since the 1991 balance of payments crisis; how these changes helped India weather the Asian financial crisis of 1997-98; the risks to fiscal sustainability and their implications for growth; the challenges facing monetary policy in the face of financial market liberalization; and the benefits of structural reform and fiscal policy for growth, poverty, and the reduction of regional disparities.
This paper explores sources of the output collapse in Russia during transition. A modified growth-accounting framework is developed that takes into account changes in factor utilization that are typical of the transition process. The results indicate that declines in factor inputs and productivity were both important determinants of the output fall. The paper analyzes the behavior of real commodity prices over the 1862–1999 progress. It also examines whether average stocks of health and education are converging across countries, and calculates the speed of their convergence using data from 84 countries for 1970–90.
This study estimates the size of the informal economy, and the relative contribution of each underlying factor, for the Caucasus and Central Asia countries in 2008. Using a Multiple Indicator-Multiple Cause model, we find that a burdensome tax system, rigid labor market, low institutional quality, and excessive regulation in financial and products markets are determinant factors in explaining the size of the informal economy, which ranges from 26 percent of GDP in Kyrgyz Republic to around 35 percent of GDP in Armenia. Furthermore, the results show that higher levels of informality increase the levels of self employment and the percentage of currency held outside the banking system.