Individual consumer surplus in the Edgeworth Box

Subject. The consumer surplus conception is an important part of the modern microeconomic theory at the introductory and intermediate levels. Consumer surplus measures the change in the consumer’s real welfare. The article addresses the peculiarities of generation and the main property of the generalized individual consumer surplus, using the Edgeworth Box case. Objectives. The purpose is to find the main property of individual consumer surplus in the Edgeworth Box economy. Methods. The study draws on methods of logical and mathematical analysis. The generalized consumer surplus is correctly constructed, using the mathematical theory of curve integrals of the second type (the theory of line integrals in the Western mathematics). Results. The generalized individual consumer surplus is defined through the respective curve integral along some admissible trajectory in the simple exchange economy (Edgeworth Box). The paper also introduces the notion of the marginal individual consumer surplus, and demonstrates that consumer surplus is a correct individual welfare measure in the Edgeworth Box, and that consumer surplus is zero along any given indifference curve. I consider the numerical example of individual surplus calculation and presentation in the Edgeworth Box. Conclusions. The generalized individual consumer surplus is a correct measure of consumer’s utility change along monotone (weakly monotone) trajectories in the Edgeworth Box. Geometrically, the consumer surplus is presented as an area limited by the reservation price curve from the top and by the reallocation line (curve) from the bottom.

Measuring Customer Reservation Price for Maintenance, Repair and Operations of the Metro Public Transport System in Qatar

Getting to know the price that users assign to maintenance, repair and operations (MRO) has arisen as an essential consideration in gathering financial sustainability for metro public transport systems. The current research reveals customer reservation price for MRO in the main metro stations in Qatar. The purpose of the present work is to assess the willingness to pay for MRO services in eight metro stations in Doha in order to have a better understanding of user preferences. Qualitative research was carried out employing primary and secondary source of information. Primary data was collected by means of a mixture of data accumulation approaches: key informant meetings and focus-group conversations. Secondary data was collected from the account books, contracts, recordings of trans-actions, statements of work and activity reports given by the local rail committees. A stated preference investigation was applied through open text format questions to more than 1000 customers, and a Poisson regression model was used to evaluate the considerations affecting every higher value. Outputs reveal normal customer reservation prices per month and per train journey. The results also indicate a significant willingness to pay differential among the studied railway stations. The study of the decisive considerations elicits that the degree to which the MRO service can exclude paying consumers, the attending of rail conferences and the possibility of using another rail station are related with the customer reservation price. The outputs of this research are significant for railway public authorities willing to set up reasonable, adequate and realistic fares that support fund competent railway systems in Qatar.

Land Acquisition, Markets and Political Networks: Evidence from the Indian Sundarbans

In recent times, land acquisitions in India for both public and private projects are facing stiff political resistance. Existing studies on land acquisition mostly focus on optimal compensation that would secure the consent of land owners. In this article, we argue that besides compensation, membership in different types of networks such as political parties and self-help groups might influence landowner consent. This could occur either because of pro-social concerns or access to better investment opportunities for the compensation amount. Using survey data from flood prone Indian Sundarbans, where the government sought to acquire land to construct embankments, we find evidence supportive of our hypothesis. The survey elicited reservation price response from land owners for a hypothetical land acquisition program. Our estimates show that land owners with self-help group members are more likely to have a higher ask price for agreeing to land sales. In contrast, controlling for length of party association, members of political networks are more likely to sell their land and have a lower reservation price than their non-political counterparts. Our results suggest that, rather than only increasing the compensation package, which is a stock of wealth, it is equally important to enhance the flow of income to ensure consensual land sales.

Model of Price Optimization as a Part of Hotel Revenue Management—Stochastic Approach

The paper is focusing on the problem of price optimization in the area of accommodation services. The main aim is to propose a novel simulation-based methodology of price optimization based on the customer’s price acceptance. The authors create a model based on the known approaches but extended by the stochastic approach and optimization based on the coefficient of price elasticity. The whole model is created, the price is set and optimized in two steps. The first step makes segmentation and optimization (with the price elasticity approach). The second step then sets the price of the reservation—the final price for a customer. This reservation price is mainly determined by knowledge of the length of stay, occupancy and booking lead time. All those parameters are described in the text from the economic point of view and make the base for the whole and complex revenue management model.

Using survival prediction techniques to learn consumer-specific reservation price distributions

A consumer’s “reservation price” (RP) is the highest price that s/he is willing to pay for one unit of a specified product or service. It is an essential concept in many applications, including personalized pricing, auction and negotiation. While consumers will not volunteer their RPs, we may be able to predict these values, based on each consumer’s specific information, using a model learned from earlier consumer transactions. Here, we view each such (non)transaction as a censored observation, which motivates us to use techniques from survival analysis/prediction, to produce models that can generate a consumer-specific RP distribution, based on features of each new consumer. To validate this framework of RP, we run experiments on realistic data, with four survival prediction methods. These models performed very well (under three different criteria) on the task of estimating consumer-specific RP distributions, which shows that our RP framework can be effective.

Contract Manufacturer’s Encroachment Strategy considering Fairness Concern in Supply Chain

More and more contract manufacturers have started to establish their own brands besides providing manufacturing service for retailers who operate exclusive well-known brands. This paper studies the encroachment strategy of a contract manufacturer in a supply chain and the impact of fairness concern. Four scenarios are investigated by building game models: no fairness concern, the retailer’s fairness concern, the contract manufacturer’s fairness concern, and both members’ fairness concern. The results show that when there is no fairness concern, the contract manufacturer always has motivation to encroach. However, when there exists fairness concern, only when the reservation price is sufficiently high, the contract manufacturer will encroach. Fairness concern has certain strength to stop the contract manufacturer’s encroachment. When the reservation price is sufficiently low, the encroachment of the contract manufacturer benefits the retailer, or else it will harm the benefit of the retailer. The effect of fairness concern on profit margin and wholesale price decisions is opposite under different encroachment strategies. However, the fairness concern has no impact on the retail price of the private brand. Under encroachment strategy, contract manufacturer’s or both members’ fairness concerns have positive effect on the retailer’s profit in certain conditions. However, the fairness concern always decreases the contract manufacturer’s profit no matter what the form it is. Numerical examples show that it is best for the supply chain that both members have fairness concern under no encroachment. However, when the contract manufacturer has a private brand, it is best for the supply chain that no one has fairness concern when the advantageous inequity concern parameter is sufficiently low. When the advantageous inequity concern parameter is sufficiently high, it is best for the supply chain that both members have fairness concern.

Serial dictatorship mechanisms with reservation prices: heterogeneous objects

We adapt a set of mechanisms introduced by Klaus and Nichifor (Econ Theory 70:665–684, 2020), serial dictatorship mechanisms with (individual) reservation prices, to the allocation of heterogeneous indivisible objects, e.g., specialist clinic appointments. We show how the characterization of serial dictatorship mechanisms with reservation prices for homogeneous indivisible objects (Klaus and Nichifor 2020, Theorem 1) can be adapted to the allocation of heterogeneous indivisible objects by adding neutrality: mechanism $$\varphi $$ φ satisfies minimal tradability, individual rationality, strategy-proofness, consistency, independence of unallocated objects, neutrality, and non wasteful tie-breaking if and only if there exists a reservation price vector r and a priority ordering $$\succ $$ ≻ such that $$\varphi $$ φ is a serial dictatorship mechanism with reservation prices based on r and $$\succ $$ ≻ .

Using algorithmic trading to analyze short term profitability of Bitcoin

Cryptocurrencies such as Bitcoin (BTC) have seen a surge in value in the recent past and appeared as a useful investment opportunity for traders. However, their short term profitability using algorithmic trading strategies remains unanswered. In this work, we focus on the short term profitability of BTC against the euro and the yen for an eight-year period using seven trading algorithms over trading periods of length 15 and 30 days. We use the classical buy and hold (BH) as a benchmark strategy. Rather surprisingly, we found that on average, the yen is more profitable than BTC and the euro; however the answer also depends on the choice of algorithm. Reservation price algorithms result in 7.5% and 10% of average returns over 15 and 30 days respectively which is the highest for all the algorithms for the three assets. For BTC, all algorithms outperform the BH strategy. We also analyze the effect of transaction fee on the profitability of algorithms for BTC and observe that for trading period of length 15 no trading strategy is profitable for BTC. For trading period of length 30, only two strategies are profitable.