macro econometric forecasting model of Singapore in 1970"s
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macro econometric forecasting model of Singapore in 1970"s

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Published by Institute of Economics and Business Studies, College of Graduate Studies, Nanyang University in [Singapore] .
Written in English



  • Singapore


  • Economic forecasting -- Singapore -- Econometric models.,
  • Singapore -- Economic conditions -- Econometric models.

Book details:

Edition Notes

Includes bibliographical references.

Statementby Ivar Ostby.
SeriesOccasional paper/Technical report series ;, no. 25, Occasional paper/Technical report series (Nanyang University. Institute of Economics and Business Studies) ;, no. 25.
LC ClassificationsHC445.8 .O86
The Physical Object
Pagination35, 2 leaves :
Number of Pages35
ID Numbers
Open LibraryOL4766218M
LC Control Number78113691

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MODELING INFLATION IN SINGAPORE: AN ECONOMETRIC BOTTOM-UP APPROACH YAO JIELU A THESIS SUBMITTED FOR THE DEGREE OF MASTER OF SOCIAL SCIENCES (BY RESEARCH) DEPARMENT OF ECONOMICS NATIONAL UNIVERSITY OF SINGAPORE ACKNOWLEDGEMENTS I would like to express my gratitude to all those who gave me the possibility . From Global Housing Watch Newsletter: November The Housing Challenge in Emerging Asia: Options and Solutions is an excellent new book that has just been published by the Asian Development Bank Institute (ADBI). In this issue of the Global Housing Watch Newsletter, Jera Beah H. Lego interviews Matthias Helble, one of the editors of this timely new book.   Economist Lawrence Klein and colleagues built the first modern macro model at the Brookings Institution in the s. In the s, firms like Klein's Wharton Econometrics, Data Resources, Inc Author: Len Burman.   From a working paper by François Geerolf: “The negative relationship between inflation and unemployment (also known as the Phillips curve) has been repeatedly challenged in the last decades: missing inflation in , missing deflation in , missing inflation in the late s, stagflation in the s, contrasting with always strong regional Phillips curves.

Trade, Balance of Payment and Macro Econometric Model Building for Planning and Forecasting.-Drafting reports of working Groups, Committees and Commissions on economic policies and on short term, medium term and long term economic plans Achievements 1) I was offered the job of planning officer in the Ministry of Planning without any experience. “An Econometric Business Cycle Model with Rational Expectations: Policy Evaluation Results,” December pdf “Estimation and Control of a Macroeconomic Model with Rational Expectations,” Econometrica, 47 (5), September , pp.   The Gross Domestic Product (GDP) is the market value of all goods and services produced within the borders of a nation in a year. In this paper, Kenya’s annual GDP data obtained from the Kenya National Bureau of statistics for the years to was studied. Gretl and SPSS 21 statistical softwares were used to build a class of ARIMA (autoregressive integrated moving average) . s and again in the s as the principal cause of inflation. It also came to be known as “New Inflation”. The basic cause of Cost-Push inflation is the rise in money wages more rapidly than the productivity of labor. The labor unions press employers to grant wage increases considerably, thereby raising the cost of production of Cited by:

The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social irreverent review of econometric essentialsA focus on tools. Using Univariate Models for Construction Output Forecasting: Comparing Artificial Intelligence and Econometric Techniques Article in Journal of Management in Engineering 32(6) June. capital asset pricing model (CAPM), for example, systematic risk is deter-mined by covariance with the market (Sharpe, ; Lintner, a, b), whereas, in more elaborate pricing models, additional empirical character-istics such as firm size and book-to-market are seen as proxies for another set of systematic risk factors (Fama & French, ) The wage price core model is built into a small econometric model for Norway to analyse the transmission mechanism and to evaluate monetary policy rules. The final chapter explores the main sources of forecast failure likely to occur in a practical modelling situation, using the large-scale nodel RIMINI and the inflation models of earlier.