Search Results - subject:"sensitivity analysis."

Inter-variable Uncertainty In Decision Analytic Modeling: The Concept Of Second-order Sensitivity/Incertidumbre Entre Variables En Modelos De Decisión Analítica: El Concepto De Sensibilidad De Segundo Orden

MARK J.C. NUIJTEN MD, MBA1; PHD1, MAIWENN AL; PHD1, … - In: Estudios de Economía Aplicada 24 (2006) Diciembre, pp. 711-730

The constraint of the current methods of sensitivity analysis in decision analytic models is that those methods only …

Persistent link: https://www.econbiz.de/10005736993

The determinants of Innovation: An Empirical cross-country study of 43 countries for 1998-2002

Ding, H. - In: Applied Econometrics and International Development 6 (2006) 1

industry innovations measured by the numbers of journal publications, patents and Nobel Laureates. I use sensitivity analysis …

Persistent link: https://www.econbiz.de/10005607506

Asian Pacific Stock Market Volatility Modeling and Value at Risk Analysis

SU, ENDER; KNOWLES, THOMAS W. - In: Emerging Markets Finance and Trade 42 (2006) 2, pp. 18-62

The potential for stock market growth in Asian Pacific countries has attracted foreign investors. However, higher growth rates come with higher risk. We apply value at risk (VaR) analysis to measure and analyze stock market index risks in Asian Pacific countries, exposing and detailing both the...

Persistent link: https://www.econbiz.de/10005753685

Global sensitivity analysis for macro-economic models

Ratto, Marco - Society for Computational Economics - SCE - 2006

rational expectations model. Global sensitivity analysis techniques can be very useful in this context, helping to make the …

Persistent link: https://www.econbiz.de/10005706176

Sensitivity Analysis of an Efficient DMU in DEA Model with Variable Returns to Scale (VRS)

Boljunčić, Valter - In: Journal of Productivity Analysis 25 (2006) 1, pp. 173-192

Persistent link: https://www.econbiz.de/10005711814

Revisiting the omitted variables argument: Substantive vs. statistical adequacy

Spanos, Aris - In: Journal of Economic Methodology 13 (2006) 2, pp. 179-218

The problem of omitted variables is commonly viewed as a statistical misspecification issue which renders the inference concerning the influence of X t on yt unreliable, due to the exclusion of certain relevant factors W t . That is, omitting certain potentially important factors W t may...

Persistent link: https://www.econbiz.de/10005282282

The Stability of Rankings Derived From Composite Indicators: Analysis of the “IL Sole 24 Ore” Quality of Life Report

Lun, G.; Holzer, D.; Tappeiner, G.; Tappeiner, U. - In: Social Indicators Research 77 (2006) 2, pp. 307-331

Persistent link: https://www.econbiz.de/10009400317

Optimal purchasing policy in a two-component assembly system with different purchasing contracts for each component

Kim, Eungab; Lee, Kaphoon; Kang, Suk-Ho - In: Computational Statistics 63 (2006) 2, pp. 301-327

This paper considers an assembly system where a firm produces a single product which is assembled using two types of components (component 1 and component 2). The components are provided by individual suppliers (supplier 1 and supplier 2). We assume that the firm makes different procurement...

Persistent link: https://www.econbiz.de/10010759302

A sensitivity analysis of an optimal Gantt charting maintenance scheduling model

Oke, S.A.; Charles‐Owaba, O.E. - In: International Journal of Quality & Reliability Management 23 (2006) 2, pp. 197-229

‐scheduling model. Any model without sensitivity analysis is a “paper work” without advancing for wider applications. Thus, the … sensitivity analysis by utilising an optimal initial starting transportation tableau. This is used as input into the Gantt … optimal models in the resource‐constraint‐based operational and maintenance arena. However, the models do lack the sensitivity …

Persistent link: https://www.econbiz.de/10014800351

The determinants of innovation : an empirical cross-country study of 43 countries for 1998 - 2002

Ding, Hong - In: Applied econometrics and international development 6 (2006) 1, pp. 35-50

Persistent link: https://www.econbiz.de/10003926267