Inaccurate forecasts of the logistic growth model for Nobel Prizes
Article Abstract:
Modis forecasts using logistic growth (LG) function as a model for determining the number of U.S. Nobel Prize recipients may be inaccurate. To test the validity of the LG model, latest data has been used to compare the forecasts to the actual number of U.S. Nobel Prize recipients during the period 1988-2002.
Publication Name: Technological Forecasting & Social Change
Subject: Social sciences
ISSN: 0040-1625
Year: 2004
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A study of quasi-experimental control group methods for estimating policy impacts
Article Abstract:
This study examines the results of the Quasi-Experimental Control Group (QECG) methods through a combination of analytical and experimental studies. The Monte Carlo analysis is used to demonstrate that QECG estimators substantially improve the estimates of policy impact.
Publication Name: Regional Science & Urban Economics
Subject: Social sciences
ISSN: 0166-0462
Year: 2003
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Predicting U.S. jet fighter aircraft introductions from 1944 to 1982: a dogfight between regression and TFDEA
Article Abstract:
Technology forecasting using data envelopment analysis is compared with previous applications using a multiple-regression model to predict U.S jet figher aircraft introductions.
Publication Name: Technological Forecasting & Social Change
Subject: Social sciences
ISSN: 0040-1625
Year: 2006
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