Pricing Non-marketed Goods using Distance Functions

By Rolf Färe, Oregon State University, USA, | Shawna Grosskopf, Oregon State University, USA, | Dimitris Margaritis, University of Auckland, New Zealand,

Publication Date: 19 Jun 2019

Suggested Citation: Rolf Färe, Shawna Grosskopf, Dimitris Margaritis (2019), "Pricing Non-marketed Goods using Distance Functions", Boston-Delft: now publishers

Pricing Non-marketed Goods using Distance Functions

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Description

Written by production economics and finance specialists Rolf Färe and Shawna Grosskopf of Oregon State University and Dimitris Margaritis of the University of Auckland, Pricing Nonmarketed Goods using Distance Functions, is an inspiring new contribution highlighting the importance of duality theory for valuation purposes, especially for hard to price inputs or resources, intended or unintended goods and assets. The theoretical pricing models are supplemented by self-standing empirical applications covering real estate pricing, environmental preservation, transfer pricing, shadow prices of university knowledge outputs and spillovers, and the pricing of bank equity capital and non-performing loans.

Please visit https://www.worldscientific.com/worldscibooks/10.1142/11194 to order your copy.

Table of Contents

  • Introduction

  • 1. Overview of the Book

  • 2. Theoretical Underpinnings

  • 3. Distance Functions

  • 4. Mathematical Underpinnings

  • 5. Black Box Pricing Models

  • 6. Network Pricing Models

  • 7. Pricing Models Based on Indirect Distance Functions

  • 8. Pricing Characteristics

  • 9. Shadow Price Estimates of Wetlands in the St. John's Bayou-New Madrid Floodway

  • 10. Pricing Inputs and Outputs in Banking

  • 11. Network Production and Shadow Prices of Knowledge Outputs

  • Appendix

  • Bibliography