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Year-ahead forecasts of tax revenues incorporated into IMF programs for low-income countries, from 1993 to 1999, are compared with the corresponding outturns. The accuracy of these forecasts was low, with a mean absolute percentage error of 16 percent. Forecasts of tax revenues as a percentage of GDP were biased upwards, but there was no significant bias in forecasts of nominal tax revenues. Upward bias in the tax revenue forecasts was associated with subsequent interruptions to the program, and the length of time between the commencement of the program and the beginning of the year for which the forecast was made.
Budgeting --- Macroeconomics --- Public Finance --- Taxation --- Taxation and Subsidies: Other --- Taxation, Subsidies, and Revenue: General --- National Budget --- Budget Systems --- Forecasting and Simulation: Models and Applications --- Public finance & taxation --- Budgeting & financial management --- Economic Forecasting --- Revenue forecasting --- Revenue administration --- Budget planning and preparation --- Debt bias --- GDP forecasting --- Tax policy --- Public financial management (PFM) --- National accounts --- Tax administration and procedure --- Revenue --- Budget --- National income --- United States --- Gdp forecasting
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This paper analyzes the effects of IMF member countries participation in the IMF’s Data Standards Initiatives (DSI) on the statistical quality of WEO forecasts. Results show that WEO forecasts for SDDS subscribers are in general better than for GDDS participants and those member countries than do not participate in the DSIs. Policy implications are that the DSI positively affect the statistical quality of forecasts and by extension improve the necessary conditions for multilateral surveillance and the provision of member countries with high quality policy advice.
Macroeconomics --- Forecasting --- Data Transmission Systems --- Estimation --- Specific Distributions --- Data Collection and Data Estimation Methodology --- Computer Programs: General --- Methodology for Collecting, Estimating, and Organizing Macroeconomic Data --- Data Access --- Forecasting and Other Model Applications --- Forecasting and Simulation: Models and Applications --- Data capture & analysis --- Economic Forecasting --- Special Data Dissemination Standard (SDDS) --- Economic forecasting --- Data dissemination --- GDP forecasting --- Data transmission systems --- National income --- Gdp forecasting
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This Technical Assistance Report discusses recommendations for improving GDP forecasting in Uganda. GDP forecasting, ranging from a quarterly to a five-year horizon, must be improved using the tools that are now available at the Ministry of Finance, Planning and Economic Development (MoFPED). The five-year forecast can be fruitfully used in the medium-term projections of government revenue, deficit and debt. The short-term forecasts should be systematically integrated within the (annual) sectoral forecasts currently being done at the MoFPED. While considering the set of tools under development, the IMF mission recommends the deployment of these tools in a more urgent manner, to stimulate learning-by-doing of local staff.
Uganda--Economic policy. --- Macroeconomics --- Production and Operations Management --- Forecasting and Simulation: Models and Applications --- Production --- Cost --- Capital and Total Factor Productivity --- Capacity --- Labor Economics: General --- Economic Forecasting --- Labour --- income economics --- GDP forecasting --- Total factor productivity --- Labor --- National accounts --- National income --- Industrial productivity --- Labor economics --- Uganda --- Economic policy. --- Gdp forecasting --- Income economics
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Minimum trace reconciliation, developed by Wickramasuriya et. al. (2019), is an innovation in the literature of forecast reconciliation. The proof, however, is indirect and not easy to extend to more general situations. This paper provides an alternative proof based on the first-order condition in the space of non-square matrix and argues that it is not only simpler but also can be extended to incorporate more general results on minimum weighted trace reconciliation in Panagiotelis et. al. (2021). Thus, our alternative proof not only has pedagogical value but also connects the results in the literature from a unified perspective.
Macroeconomics --- Economics: General --- Forecasting and Other Model Applications --- General Aggregative Models: Forecasting and Simulation --- Forecasting and Simulation: Models and Applications --- Economic & financial crises & disasters --- Economics of specific sectors --- Economic Forecasting --- GDP forecasting --- National accounts --- Currency crises --- Informal sector --- Economics --- National income --- Gdp forecasting
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This paper develops a simple procedure for incorporating market-based information into the construction of fan charts. Using the International Monetary Fund (IMF)'s global growth forecast as a working example, the paper goes through the theoretical and practical considerations of this new approach. The resulting spreadsheet, which implements the approach, is available upon request from the authors.
Economic forecasting -- Econometric models. --- Interest rates -- Econometric models. --- Monetary policy -- Econometric models. --- Economic forecasting --- Time-series analysis. --- Econometric models. --- Analysis of time series --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Inflation --- Investments: Options --- Macroeconomics --- Energy: Demand and Supply --- Prices --- Price Level --- Deflation --- Forecasting and Simulation: Models and Applications --- Pension Funds --- Non-bank Financial Institutions --- Financial Instruments --- Institutional Investors --- Economic Forecasting --- Finance --- Oil prices --- Asset prices --- GDP forecasting --- Options --- National income --- Derivative securities --- United States --- Gdp forecasting
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This paper evaluates the performance of Consensus Forecasts of GDP growth for industrialized and developing countries from 1989 to 1998. The questions addressed are (1) How do forecast errors differ across industrialized and developing countries? (2) How well do forecasters predict recessions? (3) Are forecasts efficient and unbiased? (4) How does private sector performance compare with that of international organizations? (5) Is forecaster discord a reliable predictor of forecast accuracy? Two key results emerge. First, the record of failure to predict recessions is virtually unblemished. Second, there is high degree of similarity between private forecasts and those of international organizations.
Exports and Imports --- Macroeconomics --- Taxation --- Macroeconomics: Production --- Aggregate Factor Income Distribution --- International Investment --- Long-term Capital Movements --- Taxation, Subsidies, and Revenue: General --- Forecasting and Simulation: Models and Applications --- Business Fluctuations --- Cycles --- International economics --- Public finance & taxation --- Economic Forecasting --- Economic growth --- Production growth --- Income inequality --- Private capital flows --- Tax incentives --- GDP forecasting --- Production --- National accounts --- Balance of payments --- Economic recession --- Economic theory --- Income distribution --- Capital movements --- National income --- Recessions --- United States --- Gdp forecasting
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This paper develops a new forecasting framework for GDP growth in Korea to complement and further enhance existing forecasting approaches. First, a range of forecast models, including indicator- and pure time-series models, are evaluated for their forecasting performance. Based on the evaluation results, a new forecasting framework is developed for GDP projections. The framework also generates a data-driven reference band for the projections, and is therefore convenient to update. The framework is applied to the current World Economic Outlook (WEO) forecast period and the Great Recession to compare its performance to past projections. Results show that the performance of the new framework often improves the forecasts, especially at quarterly frequency, and the forecasting exercise will be better informed by cross-checking with the new data-driven framework projections.
Gross domestic product --- Domestic product, Gross --- GDP --- Gross national product --- Forecasting --- Econometric models. --- Econometrics --- Macroeconomics --- Forecasting and Simulation: Models and Applications --- Forecasting and Other Model Applications --- Time-Series Models --- Dynamic Quantile Regressions --- Dynamic Treatment Effect Models --- Diffusion Processes --- State Space Models --- Macroeconomics: Consumption --- Saving --- Wealth --- Economic Forecasting --- Econometrics & economic statistics --- GDP forecasting --- Economic forecasting --- Time series analysis --- Vector autoregression --- Private consumption --- National income --- Consumption --- Economics --- Korea, Republic of --- Gdp forecasting
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Macroeconomic policy decisions in real-time are based the assessment of current and future economic conditions. These assessments are made difficult by the presence of incomplete and noisy data. The problem is more acute for emerging market economies, where most economic data are released infrequently with a (sometimes substantial) lag. This paper evaluates "nowcasts" and forecasts of real GDP growth using five alternative models for ten Latin American countries. The results indicate that the flow of monthly data helps to improve forecast accuracy, and the dynamic factor model consistently produces more accurate nowcasts and forecasts relative to other model specifications, across most of the countries we consider.
Economic forecasting --- Econometric models. --- Econometrics --- Macroeconomics --- Statistics --- Time-Series Models --- Dynamic Quantile Regressions --- Dynamic Treatment Effect Models --- Diffusion Processes --- Classification Methods --- Cluster Analysis --- Principal Components --- Factor Models --- Commodity Markets --- Forecasting and Simulation: Models and Applications --- General Financial Markets: General (includes Measurement and Data) --- Econometrics & economic statistics --- Economic Forecasting --- Vector autoregression --- Factor models --- Commodity prices --- GDP forecasting --- Economic and financial statistics --- Econometric models --- Prices --- National income --- Economic statistics --- Argentina --- Gdp forecasting
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High levels of economic policy uncertainty in various parts of the world revamped the de- bate about its impact on economic activity. With increasingly stronger economic, financial, and political ties among countries, economic agents have more reasons to be vigilant of for- eign economic policy. Employing heterogeneous panel structural vector autoregressions, this paper tests for spillovers from economic policy uncertainty on other countries' economic ac- tivity. Furthermore, using local projections, the paper zooms in on shocks originating in the United States, Europe, and China. Our results suggest that economic policy uncertainty re- duces growth in real output, private consumption, and private investment, and that spillovers from abroad account for about two-thirds of the negative effect. Moreover, uncertainty in the United States, Europe, and China reduces economic activity in the rest of the world, with the effects being mostly felt in Europe and the Western Hemisphere.
Finance: General --- Investments: General --- Macroeconomics --- Information, Knowledge, and Uncertainty: General --- Business Fluctuations --- Cycles --- International Policy Coordination and Transmission --- Macroeconomics: Consumption --- Saving --- Wealth --- Investment --- Capital --- Intangible Capital --- Capacity --- Externalities --- General Financial Markets: General (includes Measurement and Data) --- Forecasting and Simulation: Models and Applications --- Finance --- Economic Forecasting --- Private consumption --- Private investment --- Spillovers --- Stock markets --- GDP forecasting --- National accounts --- Financial sector policy and analysis --- Financial markets --- Consumption --- Economics --- Saving and investment --- International finance --- Stock exchanges --- National income --- United States --- Gdp forecasting
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Macroeconomic costs of conflict are generally very large, with GDP per capita about 28 percent lower ten years after conflict onset. This is overwhelmingly driven by private consumption, which falls by 25 percent ten years after conflict onset. Conflict is also associated with dramatic declines in official trade, with exports (imports) estimated to be 58 (34) percent lower ten years after conflict onset. The onset of conflict often also induces significant refugee outflows to neighboring non-advanced countries in the short run, and relatively small but very persistent refugee outflows to advanced countries over the long run. Finally, we stress that conflict should be defined in terms of the number of people killed relative to the total population. The traditional definition of conflict—based on the absolute number of deaths—skews the sample toward low-intensity conflicts in large countries, thereby understating the negative effects of conflict from a macroeconomic perspective.
Afghanistan, Islamic Republic of --- Macroeconomics --- Public Finance --- Demography --- Conflict --- Conflict Resolution --- Alliances --- General Outlook and Conditions --- Demographic Economics: General --- National Government Expenditures and Related Policies: General --- Macroeconomics: Consumption --- Saving --- Wealth --- Forecasting and Simulation: Models and Applications --- Population & demography --- Public finance & taxation --- Economic Forecasting --- Population and demographics --- Public expenditure review --- Consumption --- GDP forecasting --- Private consumption --- Expenditure --- National accounts --- Population --- Expenditures, Public --- Economics --- National income --- Gdp forecasting
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