Journal articles: 'Demand curve'

1

Bostaph, S., and Y. N. Shieh. "Jevons's Demand Curve." History of Political Economy 19, no. 1 (March 1, 1987): 107–26. http://dx.doi.org/10.1215/00182702-19-1-107.

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Frasco, Gregg P. "The Kinked Demand Curve When Demand Shifts." Journal of Economic Education 24, no. 2 (April 1993): 137–43. http://dx.doi.org/10.1080/00220485.1993.10844787.

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3

Frasco, Gregg P. "The Kinked Demand Curve When Demand Shifts." Journal of Economic Education 24, no. 2 (1993): 137. http://dx.doi.org/10.2307/1183162.

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4

Bhaskar, V. "The kinked demand curve." International Journal of Industrial Organization 6, no. 3 (January 1988): 373–84. http://dx.doi.org/10.1016/s0167-7187(88)80018-3.

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5

Vatter, Marc H. "OPEC's kinked demand curve." Energy Economics 63 (March 2017): 272–87. http://dx.doi.org/10.1016/j.eneco.2017.02.010.

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6

Naqellari, Alqi. "Positive Slope Model of Aggregate Demand." Academic Journal of Interdisciplinary Studies 7, no. 3 (November 1, 2018): 63–85. http://dx.doi.org/10.2478/ajis-2018-0059.

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Abstract This paper analyzes Internal Aggregate Demand. This aggregate, along with other production indicators, is the main indicator of the country’s economic performance rate. Objective analysis is important for their perspective, as well as for a set of other related indicators, such as inflation rate, unemployment rate, etc. In economic theory, the Aggregate Demand Curve (AD) deals with negative slope. At the point where AD interrupts the AS (aggregate supply curve) there is macroeconomic equilibrium. Creating this equilibrium, shifting curves, creates a number of other figures that show how the level of output, prices and employment will be, and overall the level of economy in the future. In this study, with the data of the Albanian economy, was built, for a period of 17 years, the Internal Demand Curve. Three effects are analyzed: the real balance sheet effect, the interest rates and the external trade effect. The internal demand curve has resulted in a Positive Slope. The equilibrium is not created at the intersection point of the curves. These curves stand facing each other. The equilibrium is set by the different aggregate price level. The Gross Domestic Product Curve (GDP) is the equilibrium curve created by the interaction of Aggregate Demand and Aggregate Supply. This position is real, and creates opportunities for objective analysis of the economy. This paper uses econometric, statistical, comparative and synthesis methods.

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7

Hudik, Marek. "The Marshallian demand curve revisited." European Journal of the History of Economic Thought 27, no. 1 (December 2, 2019): 108–30. http://dx.doi.org/10.1080/09672567.2019.1651361.

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8

Sen, Debapriya. "The kinked demand curve revisited." Economics Letters 84, no. 1 (July 2004): 99–105. http://dx.doi.org/10.1016/j.econlet.2004.01.005.

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9

Barron, John M., and Gerald J. Lynch. "The Aggregate Demand Curve: A Defense." Journal of Economic Education 18, no. 1 (1987): 41. http://dx.doi.org/10.2307/1182394.

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10

Hansen, Richard B., Ken McCormick, and Janet M. Rives. "The Aggregate Demand Curve: A Reply." Journal of Economic Education 18, no. 1 (1987): 47. http://dx.doi.org/10.2307/1182395.

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Barron, John M., and Gerald J. Lynch. "The Aggregate Demand Curve: A Defense." Journal of Economic Education 18, no. 1 (January 1987): 41–46. http://dx.doi.org/10.1080/00220485.1987.10845186.

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12

Hansen, Richard B., Ken McCormick, and Janet M. Rives. "The Aggregate Demand Curve: A Reply." Journal of Economic Education 18, no. 1 (January 1987): 47–50. http://dx.doi.org/10.1080/00220485.1987.10845187.

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13

YASUDA, Shohei, Kenji IKEDA, Takamasa IRYO, and Masaaki ISHIHARA. "DEMAND CURVE ESTIMATION METHOD FOR DESCRIBING DEMAND FLUCTUATION ON URBAN EXPRESSWAY." Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management) 76, no. 5 (2021): I_757—I_766. http://dx.doi.org/10.2208/jscejipm.76.5_i_757.

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14

Maljković, Biljana, and Dražen Cvitanić. "Evaluation of design consistency on horizontal curves for two-lane state roads in terms of vehicle path radius and speed." Baltic Journal of Road and Bridge Engineering 11, no. 2 (June 27, 2016): 127–35. http://dx.doi.org/10.3846/bjrbe.2016.15.

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Experimental investigation was conducted on a 24 km long segment of the two-lane state road to collect the driver behavior data. The research involved 20 drivers driving their own cars equipped with the GPS device. Considering the impact of path radius and speed on the side friction demand, the design consistency on horizontal curves was evaluated by determining the margins of safety. The analysis showed that the vehicle path radii were mainly smaller than curve radius, on average for 12%. Regression analysis indicated that the percentage difference between the curve radius and vehicle path radius is not affected by the speed, speed differential and geometric characteristics of the curve and surrounding elements. Two different margins of safety were analyzed. One is the difference between maximum permissible side friction (based on design speed) and side friction demand, while another is the difference between side friction supply (based on operating speed) and side friction demand. Generally, demands exceeded supply side friction factors on curves with radii smaller than 150 m, whereas “poor” conditions (in terms of Lamm’s consistency levels) were noted for curves under approximately 220 m. Both values are very close to the critical radius below which higher accident rates were observed according to several accident studies. Based on the results of the research, it is proposed to use a 12% smaller curve radius for the evaluation of margin of safety and that curves with radii smaller than 200 m should be avoided on two-lane state roads outside the built-up area.

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15

Daniel Mullins, C. "Rising copayments and the kinked demand curve." Clinical Therapeutics 25, no. 12 (December 2003): 3144–46. http://dx.doi.org/10.1016/s0149-2918(03)90098-1.

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16

Evans, M., and Andrew C. Lewis. "Is there a common metals demand curve?" Resources Policy 28, no. 3-4 (September 2002): 95–104. http://dx.doi.org/10.1016/s0301-4207(03)00026-6.

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17

Newell, Andrew, and James S. V. Symons. "Stylised Facts and the Labour Demand Curve." Labour 3, no. 3 (December 1989): 3–22. http://dx.doi.org/10.1111/j.1467-9914.1989.tb00160.x.

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18

Hochstein, Alan. "The Kinked Demand Curve: A Theoretical Error." International Advances in Economic Research 12, no. 1 (February 2006): 140. http://dx.doi.org/10.1007/s11294-006-6144-9.

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19

Haugen, Kjetil, and Knut P. Heen. "The market demand- (and supply) curve paradox." Economics and Business Letters 10, no. 1 (February 21, 2021): 69–71. http://dx.doi.org/10.17811/ebl.10.1.2021.69-71.

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After many years of teaching utility maximization in Microeconomics a certain paradoxical puzzle has come to our attention. It is very simple and straightforward, but we still find it hard to explain it to students. Our hope is that the distinguished community of theoretical economists may help us solve this mystery. After all, we would find it extremely unlikely that we are the first persons to identify this paradox.

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20

Zhu, Zhu, and Hua Ying Shu. "The Research on Bit-Product Demand." Applied Mechanics and Materials 159 (March 2012): 385–89. http://dx.doi.org/10.4028/www.scientific.net/amm.159.385.

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With the building of "information highway" has been increasingly high, the bits and the Internet are ahead hand in hand; In bit-economic environment, there is no material form of atoms, only the 0 and 1 form of number sequences that are called the bit stream, which have value other than weight, have played an increasingly important role in the economic life of the people. Compared with the industrial age economics, Bit-economics has pulled out many new phenomenon, which the traditional laws of economics can’t explain the subsequent hidden new economic theories; As to bits of product demand curves out of the demand curve contrary to the phenomenon of material products, This paper using empirical analysis and the use of SPSS, MATLAB software, proves the new forms that bit-product demand curve shows to us.

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21

Wooldridge, Mark D., Kay Fitzpatrick, Rodger Koppa, and Karin Bauer. "Effects of Horizontal Curvature on Driver Visual Demand." Transportation Research Record: Journal of the Transportation Research Board 1737, no. 1 (January 2000): 71–77. http://dx.doi.org/10.3141/1737-09.

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A consistent design allows drivers to perform safely the task of driving, allowing attention or capacity to be dedicated to obstacle avoidance and navigation. A measure of the consistency of a design is the amount of visual information needed by a driver to maintain an acceptable path on the roadway. Vision occlusion is a technique that measures driver visual demand on a roadway. It allows a more direct evaluation of the effects of various geometric elements on the driver. Studies of the effects of variations of curve radius, deflection angle, spacing, and sequences revealed several relationships between roadway geometry and visual demand. Curve radius and its reciprocal were found to be significantly related to visual demand in both on-road and test track studies. Small changes in visual demand were also found between types of curve pairs (S and broken back) with differing spacing between the curves. Visual demand was found to be a promising measure of effectiveness for use in studies of design consistency.

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22

Ranney, Thomas A., and Valerie J. Gawron. "Task Demand and Alcohol Effects on Simulated Driving Performance." Proceedings of the Human Factors Society Annual Meeting 30, no. 3 (September 1986): 265–69. http://dx.doi.org/10.1177/154193128603000315.

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The effects of alcohol-impaired driving were hypothesized to vary depending upon the blood alcohol concentration (BAC) of the driver and the external demands of the driving situation. To examine the effects of task demand on the performance of drivers under sober and alcohol-dosed conditions, a driving simulation experiment was conducted. Twelve subjects drove a simulator under three levels of BAC and two levels of task demand. The task required negotiation of curves, responses to selected traffic signs and avoidance of unexpected obstacles. Alcohol effects were evident in overall driving performance, in the responses to curves, and in the number of obstacles struck. Increasing the demands of the driving task had no effect on performance in curve approach and negotiation, and influenced only one general measure of driving performance. With the exception of reaction time to signs, increased task demand did not change the effects of alcohol. In the high demand/high alcohol condition, subjects were able to compensate for the increased number of obstacles struck by more efficient responding to signs.

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23

Men, Jin Jie, Qing Xuan Shi, and Qi Zhou. "Inter-Story Capacity Spectrum for the Performance Based Seismic Design of Vertically Irregular RC Frame Structures I: Method." Key Engineering Materials 517 (June 2012): 745–48. http://dx.doi.org/10.4028/www.scientific.net/kem.517.745.

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Considering the dynamical characteristic of structure under different earthquake hazard level, inelastic demand curves, namely, inter-story shear versus inter-story displacement curve are established by using mode spectrum method. Based on the relation of structure performance object and displacement ductibility, the relation of structure performance object and inter-story demand curve is established. And the inter-story demand curves take into account the inelastic behavior of structure under earthquake action adequately. Then considering the seismic respond characteristic and the capacity curve of the frame structure a new method named inter-story capacity spectrum (ISCS) is put forward for the performance based seismic design of vertically irregular frame structures. Examples are presented to demonstrate the applicability and utility of the proposed method. In part , the procedure to establish the ISCS method is mainly explained. And the examples will be introduced in part .

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24

Bhaskar, V., S. Machin, and G. Reid. "Testing a Model of the Kinked Demand Curve." Journal of Industrial Economics 39, no. 3 (March 1991): 241. http://dx.doi.org/10.2307/2098518.

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25

Hansen, Richard B., Ken McCormick, and Janet M. Rives. "The Aggregate Demand Curve and Its Proper Interpretation." Journal of Economic Education 16, no. 4 (1985): 287. http://dx.doi.org/10.2307/1182198.

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26

Oswald, Andrew J. "Efficient contracts are on the labour demand curve." Labour Economics 1, no. 1 (June 1993): 85–113. http://dx.doi.org/10.1016/0927-5371(93)90007-5.

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27

Hansen, Richard B., Ken McCormick, and Janet M. Rives. "The Aggregate Demand Curve and Its Proper Interpretation." Journal of Economic Education 16, no. 4 (September 1985): 287–96. http://dx.doi.org/10.1080/00220485.1985.10845132.

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28

Ho, Yen-Yi, Tien Nhu Vo, Haitao Chu, Xianghua Luo, and Chap T. Le. "A Bayesian hierarchical model for demand curve analysis." Statistical Methods in Medical Research 27, no. 7 (October 20, 2016): 2038–49. http://dx.doi.org/10.1177/0962280216673675.

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Drug self-administration experiments are a frequently used approach to assessing the abuse liability and reinforcing property of a compound. It has been used to assess the abuse liabilities of various substances such as psychomotor stimulants and hallucinogens, food, nicotine, and alcohol. The demand curve generated from a self-administration study describes how demand of a drug or non-drug reinforcer varies as a function of price. With the approval of the 2009 Family Smoking Prevention and Tobacco Control Act, demand curve analysis provides crucial evidence to inform the US Food and Drug Administration’s policy on tobacco regulation, because it produces several important quantitative measurements to assess the reinforcing strength of nicotine. The conventional approach popularly used to analyze the demand curve data is individual-specific non-linear least square regression. The non-linear least square approach sets out to minimize the residual sum of squares for each subject in the dataset; however, this one-subject-at-a-time approach does not allow for the estimation of between- and within-subject variability in a unified model framework. In this paper, we review the existing approaches to analyze the demand curve data, non-linear least square regression, and the mixed effects regression and propose a new Bayesian hierarchical model. We conduct simulation analyses to compare the performance of these three approaches and illustrate the proposed approaches in a case study of nicotine self-administration in rats. We present simulation results and discuss the benefits of using the proposed approaches.

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29

Gonzalez-Cabrera, N., G. Gutierrez, and E. Gil. "Transmission Expansion Planning Considering an Hourly Demand Curve." IEEE Latin America Transactions 16, no. 3 (March 2018): 869–75. http://dx.doi.org/10.1109/tla.2018.8358667.

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30

Lewbel, Arthur. "An Exactly aggregable trigonometric engel curve demand system." Econometric Reviews 7, no. 1 (January 1998): 97–102. http://dx.doi.org/10.1080/07474938808800144.

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31

Yaniv, Gideon. "Minimum Wage Compliance and the Labor Demand Curve." Journal of Economic Education 35, no. 3 (July 2004): 290–94. http://dx.doi.org/10.3200/jece.35.3.290-294.

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32

Brunello, Giorgio. "Are efficient contracts on the labour demand curve?" Economics Letters 32, no. 3 (March 1990): 283–87. http://dx.doi.org/10.1016/0165-1765(90)90113-f.

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33

Fahey, G. L. "Evaluation of the Recreational Benefits of Major Dams in Queensland, Australia." Water Science and Technology 21, no. 2 (February 1, 1989): 229–35. http://dx.doi.org/10.2166/wst.1989.0055.

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This paper describes the use of the “Final Clawson Demand Curve” method in the evaluation of the recreational benefits of four major dams in Queensland, Australia. The use of existing demand curves to predict the demand for recreational facilities at proposed sites was also investigated. The results indicate that the demand curves are sensitive to changes in variables such as travel costs. However, within the method is the potential to provide estimates of the recreational worth of proposed dams.

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34

Segal, Ilya. "Optimal Pricing Mechanisms with Unknown Demand." American Economic Review 93, no. 3 (May 1, 2003): 509–29. http://dx.doi.org/10.1257/000282803322156963.

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The standard profit-maximizing multiunit auction intersects the submitted demand curve with a preset reservation supply curve, which is determined using the distribution from which the buyers' valuations are drawn. However, when this distribution is unknown, a preset supply curve cannot maximize monopoly profits. The optimal pricing mechanism in this situation sets a price for each buyer on the basis of the demand distribution inferred statistically from other buyers' bids. The resulting profit converges to the optimal monopoly profit with known demand as the number of buyers goes to infinity, and convergence can be substantially faster than with sequential price experimentation.

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35

Himes, Scott, Richard J. Porter, Ian Hamilton, and Eric Donnell. "Safety Evaluation of Geometric Design Criteria: Horizontal Curve Radius and Side Friction Demand on Rural, Two-Lane Highways." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 3 (March 2019): 516–25. http://dx.doi.org/10.1177/0361198119835514.

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AASHTO’s A Policy on Geometric Design of Highways and Streets, 6th Edition, provides design criteria for horizontal curve elements based on the point-mass model. The model equates the centripetal force needed to navigate a horizontal curve of a specific radius traveling at the design speed to the combination of superelevation rate and side friction needed to achieve that force. Few researchers have examined the safety impacts of horizontal curve radius, superelevation rate, and design speed through crash-based research. None of the research reviewed included the effects of design speed or superelevation rate in the crash modification factors (CMFs) or functions. This research explored these factors using a negative binomial regression modeling approach based on data collected from the SHRP 2 RID 2.0 for 889 horizontal curves on rural two-lane highways in Indiana and Pennsylvania, which resulted in roadway departure crash modification functions for horizontal curve radius and side friction demand. The crash modification function for side friction demand includes an interactive component of horizontal curve radius and speed and a direct effect of superelevation rate on roadway departure crashes. The results showed that roadway departure crashes are expected to increase for decreasing curve radius, increasing posted speed limit, and decreased superelevation rate. Furthermore, curve-related CMFs were sensitive to the curve radii used in their development. CMFs developed from curves with larger radii tended to result in larger CMFs. Sample applications are provided for computing the effects of changing the horizontal curve radius, posted speed limit, or both on proposed alternatives.

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36

Sozinho, Thiago Manoel, David Alexandre Buratto, Anadalvo Juazeiro Dos Santos, João Carlos Garzel Leodoro da Silva, and José Roberto Frega. "EVOLUTION OF THE PRODUCTION AND PRICE OF FOREST BIOMASS FOR ENERGY." FLORESTA 49, no. 1 (December 17, 2018): 011. http://dx.doi.org/10.5380/rf.v49i1.51617.

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This study aimed to analyze the evolution of the production and price of biomass from native and planted forests of the state of Paraná (Brazil), between 1998 and 2015, based on the behavior of the prices of the products, according to variations of their supply or demand. The annual rates for growth of the price and quantity produced were calculated and related to the displacements of the supply and demand curves of the products. The results indicated a decrease in the quantity and an increase in the biomass price for native forests, which caused a shift in the supply curve to the left. For the biomass of planted forests, the demand curve shifted to the right due to the demand increase of this product for energy production. The behavior of both curves indicated a substitution of the biomass from native forests to biomass from planted forests due to factors related to the increase of environmental protection regarding the native forests located in the state of Paraná

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37

Joachim, Gloria. "Supply and Demand: A Framework for Explaining Variability in Dietary Intake and its Impact on Data." Nutrition and Health 11, no. 4 (April 1997): 289–99. http://dx.doi.org/10.1177/026010609701100407.

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Nutrition has an important relationship with health and illness. One difficulty in measuring intake is related to variability. The purpose of this paper is to examine 1) the impact of supply and demand on variability in data collected for dietary studies and 2) the relationship between data and estimates of usual intake. The forces of supply and demand over time generate a consumption curve for each food. Two types of consumption curves are identified. One curve is horizontal and represents staples that are steadily consumed. The other curve exhibits peaks and dips and is unique for each food whose consumption varies with time. The measurement of usual intake is discussed in. light of these two types of curves. Usual intake of foods whose consumption curve is horizontal could be read at any time since consumption does not vary with time. For all other foods, measuring usual consumption presents problems since the data vary with time. This examination indicates that foods whose consumption varies with time have unique properties that must be considered when attempting to calculate consumption. Suggestions are given to enhance measurement of consumption of these foods. Although excellent methodology currently exists for the calculation of intake, attention to the force of supply and demand with only serve to strengthen existing methods.

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38

Baker, Jonathan B., and Timothy F. Bresnahan. "Estimating the residual demand curve facing a single firm." International Journal of Industrial Organization 6, no. 3 (January 1988): 283–300. http://dx.doi.org/10.1016/s0167-7187(88)80012-2.

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39

Kwak, Jeong Ho, and Bong Gyou Lee. "Estimating demand curve in the Korean VoIP telecommunications market." Technological Forecasting and Social Change 78, no. 4 (May 2011): 713–28. http://dx.doi.org/10.1016/j.techfore.2010.09.007.

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40

Ho, Yen-Yi, Tien Nhu Vo, Haitao Chu, Mark G. LeSage, Xianghua Luo, and Chap T. Le. "WITHDRAWN A Bayesian hierarchical model for demand curve analysis." Statistical Methods in Medical Research 27, no. 8 (July 9, 2018): 2401–12. http://dx.doi.org/10.1177/0962280216680651.

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41

CUBITT, ROBIN P. "LUMP SUM MENU COSTS AND THE LABOUR DEMAND CURVE." Australian Economic Papers 33, no. 62 (June 1994): 7–20. http://dx.doi.org/10.1111/j.1467-8454.1994.tb00002.x.

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42

Sasatani, Daisuke, and Ivan L. Eastin. "Demand Curve Estimation of Locally Produced Woody Biomass Products." Applied Engineering in Agriculture 34, no. 1 (2018): 145–55. http://dx.doi.org/10.13031/aea.12392.

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Abstract. The goal of the Waste-to-Wisdom project is to produce and sell value-added products derived from post-harvest forest residues including wood briquettes, torrefied briquettes, and biochar. The consumer demand for these products (i.e., market size) determines the success of manufacturers especially when the location of production is far away from a population center and the producer is a price taker. Consumers are often scattered and transportation costs from the factory to retail stores lower the net sales revenue at the plant. The objective of this study was to estimate the demand curves and the associated revenue functions of the bioenergy products in five case locations applying a market-based analysis. We first estimated the size of the potential market for the products in each location and then assumed a market penetration rate to estimate consumer demand. This information was used to develop a set of mathematical functions based on deductive logic. Plugging presumable values based on scenario assumptions into the models contributes to the economic feasibility studies. Keywords: Biochar, Forest products marketing, Market penetration rate, Price skimming strategy, Wood briquette.

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43

Feldman, Roger, and Bryan Dowd. "What does the demand curve for medical care measure?" Journal of Health Economics 12, no. 2 (July 1993): 193–200. http://dx.doi.org/10.1016/0167-6296(93)90028-d.

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44

Ishii, Yoshikazu. "Electricity Demand and Supply Curve Estimation with Neural Network." IEEJ Transactions on Power and Energy 141, no. 5 (May 1, 2021): 384–90. http://dx.doi.org/10.1541/ieejpes.141.384.

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45

Hanif, Muhammad, Zhong Hou, and Kottakkaran Nisar. "On Special Kinds of Involute and Evolute Curves in 4-Dimensional Minkowski Space." Symmetry 10, no. 8 (August 2, 2018): 317. http://dx.doi.org/10.3390/sym10080317.

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Recently, extensive research has been done on evolute curves in Minkowski space-time. However, the special characteristics of curves demand advanced level observations that are lacking in existing well-known literature. In this study, a special kind of generalized evolute and involute curve is considered in four-dimensional Minkowski space. We consider (1,3)-evolute curves with respect to the casual characteristics of the (1,3)-normal plane that are spanned by the principal normal and the second binormal of the vector fields and the (0,2)-evolute curve that is spanned by the tangent and first binormal of the given curve. We restrict our investigation of (1,3)-evolute curves to the (1,3)-normal plane in four-dimensional Minkowski space. This research contribution obtains a necessary and sufficient condition for the curve possessing the generalized evolute as well as the involute curve. Furthermore, the Cartan null curve is also discussed in detail.

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46

Dowrick, Steve. "The relative profitability of Nash bargaining on the labour demand curve or the contract curve." Economics Letters 33, no. 2 (June 1990): 121–25. http://dx.doi.org/10.1016/0165-1765(90)90156-u.

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47

Li, Chang Sheng, Qing Ling Li, Zhong Min Lei, Han Yang, and Hui Qing Qu. "The Relationship between Economics Growth and Energy Consumption in China-A Empirical Analysis Based on Energy Kuznets Curve." Advanced Materials Research 1073-1076 (December 2014): 2457–61. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.2457.

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These paper investigated the relationship between economics development and energy demands based on Energy Kuznets Curve (EFC) in China. The results show that, the prospects of economics and energy demand in China in further will undergo three important stages to 2050.The peak of energy demand maybe around 2035 and the corresponding total energy demand maybe amount 5.7 billion tce. In 2035, the GDP per capital maybe about 17000 (2005 US$) and the urbanization will reach a relative high level. It is urgent for China to take actions to curb the increasing total energy consumption.

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48

Taiebnia, Ali, and Hamed Farnam. "Modeling of Money Demand Function and Estimating Engle Curve in Iran (Using EASI Demand System)." Journal of Research in Economic Modeling 5, no. 19 (June 1, 2015): 113–48. http://dx.doi.org/10.18869/acadpub.jemr.5.19.113.

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49

TUINSTRA, JAN. "A PRICE ADJUSTMENT PROCESS IN A MODEL OF MONOPOLISTIC COMPETITION." International Game Theory Review 06, no. 03 (September 2004): 417–42. http://dx.doi.org/10.1142/s0219198904000289.

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We consider a price adjustment process in a model of monopolistic competition. Firms have incomplete information about the demand structure. When they set a price they observe the amount they can sell at that price and they observe the slope of the true demand curve at that price. With this information they estimate a linear demand curve. Given this estimate of the demand curve they set a new optimal price. We investigate the dynamical properties of this learning process. We find that, if the cross-price effects and the curvature of the demand curve are small, prices converge to the Bertrand-Nash equilibrium. The global dynamics of this adjustment process are analyzed by numerical simulations. By means of computational techniques and by applying results from homoclinic bifurcation theory we provide evidence for the existence of strange attractors.

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50

Lara Santillán, P., P. Zorzano Santamaría, M. Mendoza Villena, and E. Zorzano. "The Economic Crisis and the Urban Electric Power Curve Demand." Renewable Energy and Power Quality Journal 1, no. 08 (April 2010): 1369–73. http://dx.doi.org/10.24084/repqj08.669.

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Journal articles on the topic 'Demand curve'

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