Structural Sensitivity in Econometric Models, By E. Kuh, J. Neese and P. Hollinger. (John Wiley, New York, 1985, pp. ix + 324, ISBN 0–471–81930–1, cloth $49.50)

1988 ◽  
Vol 3 (3) ◽  
pp. 249-254
Author(s):  
Pierre Malgrange
Keyword(s):  
New York ◽  
Econometric Models ◽  
Structural Sensitivity

Forecasting Demand for Paratransit Required by the Americans with Disabilities Act

1997 ◽  
Vol 1571 (1) ◽  
pp. 67-74 ◽  
Author(s):  
David Koffman ◽  
David Lewis
Keyword(s):  
New York ◽  
Americans With Disabilities Act ◽  
Econometric Models ◽  
Econometric Analysis ◽  
Service Availability ◽  
Cross Sectional ◽  
Advantages And Disadvantages ◽  
Denial Rates ◽  
Levels Of Service ◽  
Different Levels

Four techniques are described for forecasting the demand for paratransit required by the Americans with Disabilities Act (ADA): surveys, intuitive comparison with other systems, cross-sectional econometric analysis, and time-series econometric analysis. The application of these methods in Seattle and New York is described, illustrating the advantages and disadvantages of each method. The ADA leaves considerable room for localities to determine the level of trip denials that can be tolerated. The econometric models provide a quantitative forecast of the effects of different levels of service availability as measured by trip denial rates. It demonstrates that the importance of service availability varies among communities.

Structural Sensitivity in Econometric Models

1987 ◽  
Vol 5 (4) ◽  
pp. 549
Author(s):  
Adrian Pagan ◽  
E. Kuh ◽  
J. W. Neese ◽  
P. Hollinger
Keyword(s):  
Econometric Models ◽  
Structural Sensitivity

Structural Sensitivity in Econometric Models.

1986 ◽  
Vol 37 (4) ◽  
pp. 440
Author(s):  
John Asafu-Adjaye ◽  
Edwin Kuh ◽  
John W. Neese ◽  
Peter Hollinger
Keyword(s):  
Econometric Models ◽  
Structural Sensitivity

Structural Sensitivity in Econometric Models.

1986 ◽  
Vol 81 (396) ◽  
pp. 1124
Author(s):  
R. Jeffery Green ◽  
Edwin Kuh ◽  
John W. Neese ◽  
Peter Hollinger
Keyword(s):  
Econometric Models ◽  
Structural Sensitivity

scholarly journals A Bayes Decision Rule to Assist Policymakers during a Pandemic

Healthcare ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1023
Author(s):  
Kang-Hua Cao ◽  
Paul Damien ◽  
Chi-Keung Woo ◽  
Jay Zarnikau
Keyword(s):  
New York ◽  
Decision Rule ◽  
The United States ◽  
Econometric Models ◽  
Sensitivity Analyses ◽  
Net Benefit ◽  
Rule Based ◽  
Monte Carlo Algorithms ◽  
Per Capita ◽  
The U.S

A new decision rule based on net benefit per capita is proposed and exemplified with the aim of assisting policymakers in deciding whether to lockdown or reopen an economy—fully or partially—amidst a pandemic. Bayesian econometric models using Markov chain Monte Carlo algorithms are used to quantify this rule, which is illustrated via several sensitivity analyses. While we use COVID-19 data from the United States to demonstrate the ideas, our approach is invariant to the choice of pandemic and/or country. The actions suggested by our decision rule are consistent with the closing and reopening of the economies made by policymakers in Florida, Texas, and New York; these states were selected to exemplify the methodology since they capture the broad spectrum of COVID-19 outcomes in the U.S.

Structural Sensitivity in Econometric Models.

1986 ◽  
Vol 35 (3) ◽  
pp. 404
Author(s):  
R. W. Farebrother ◽  
Edwin Kuh ◽  
John W. Neese ◽  
Peter Hollinger
Keyword(s):  
Econometric Models ◽  
Structural Sensitivity
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