Competition in the international niobium market: A residual demand approach

2020 ◽  
Vol 65 ◽  
pp. 101564
Author(s):  
Jáilison W. Silveira ◽  
Marcelo Resende
Keyword(s):  
2020 ◽  
Vol 20 (2) ◽  
Author(s):  
Stefanos Leonardos ◽  
Costis Melolidakis

AbstractWe revisit the linear Cournot model with uncertain demand that is studied in Lagerlöf (2006. “Equilibrium Uniqueness in a Cournot Model with Demand Uncertainty.” The B.E. Journal of Theoretical Economics 6, no. 1. (Topics), Article 19: 1–6.) and provide sufficient conditions for equilibrium uniqueness that complement the existing results. We show that if the distribution of the demand intercept has the decreasing mean residual demand (DMRD) or the increasing generalized failure rate (IGFR) property, then uniqueness of equilibrium is guaranteed. The DMRD condition implies log-concavity of the expected profits per unit of output without additional assumptions on the existence or the shape of the density of the demand intercept and, hence, answers in the affirmative the conjecture of Lagerlöf (2006. “Equilibrium Uniqueness in a Cournot Model with Demand Uncertainty.” The B.E. Journal of Theoretical Economics 6, no. 1. (Topics), Article 19: 1–6.) that such conditions may not be necessary.


2016 ◽  
Vol 1 ◽  
pp. 41 ◽  
Author(s):  
Linh Phuong Catherine Do ◽  
Lars Ivar Hagfors ◽  
Kuan-Heng Lin ◽  
Peter Molnár

Author(s):  
Johanna L. Mathieu ◽  
Ashok J. Gadgil ◽  
Duncan S. Callaway ◽  
Phillip N. Price ◽  
Sila Kiliccote

We describe a method to generate statistical models of electricity demand from Commercial and Industrial (C&I) facilities including their response to dynamic pricing signals. Models are built with historical electricity demand data. A facility model is the sum of a baseline demand model and a residual demand model; the latter quantifies deviations from the baseline model due to dynamic pricing signals from the utility. Three regression-based baseline computation methods were developed and analyzed. All methods performed similarly. To understand the diversity of facility responses to dynamic pricing signals, we have characterized the response of 44 C&I facilities participating in a Demand Response (DR) program using dynamic pricing in California (Pacific Gas & Electric’s Critical Peak Pricing Program). In most cases, facilities shed load during DR events but there is significant heterogeneity in facility responses. Modeling facility response to dynamic price signals is beneficial to the Independent System Operator for scheduling supply to meet demand, to the utility for improving dynamic pricing programs, and to the customer for minimizing energy costs.


Empirica ◽  
1995 ◽  
Vol 22 (2) ◽  
pp. 115-126 ◽  
Author(s):  
Richard S. Higgins ◽  
David P. Kaplan ◽  
Michael J. Mcdonald ◽  
Robert D. Tollison

2004 ◽  
Vol 36 (1) ◽  
pp. 113-121 ◽  
Author(s):  
Michael R. Reed ◽  
Sayed H. Saghaian

A residual demand model for beef exports to Japan is specified and estimated. The objective is to estimate the extent of market power. It is assumed that each exporting country faces a downward-sloping residual demand curve, which reflects the market demand minus the supplies of competitors, and that exporters maximize profit through their output decisions. The analysis is disaggregated by beef cut and form to capture the variation by beef market segments. The results indicate that the highest markup of price over marginal cost belongs to U.S. frozen ribs, the only indication of market power by U.S. exporters. Canada is found to have limited market power, whereas Australia and New Zealand enjoy some market power, including five chilled beef categories.


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