107 resultados para Externality


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In this dissertation, I study three problems in market design: the allocation of resources to schools using deferred acceptance algorithms, the demand reduction of employees on centralized labor markets, and the alleviation of traffic congestion. I show how institutional and behavioral considerations specific to each problem can alleviate several practical limitations faced by current solutions. For the case of traffic congestion, I show experimentally that the proposed solution is effective. In Chapter 1, I investigate how school districts could assign resources to schools when it is desirable to provide stable assignments. An assignment is stable if there is no student currently assigned to a school that would prefer to be assigned to a different school that would admit him if it had the resources. Current assignment algorithms assume resources are fixed. I show how simple modifications to these algorithms produce stable allocations of resources and students to schools. In Chapter 2, I show how the negotiation of salaries within centralized labor markets using deferred acceptance algorithms eliminates the incentives of the hiring firms to strategically reduce their demand. It is well-known that it is impossible to eliminate these incentives for the hiring firms in markets without negotiation of salaries. Chapter 3 investigates how to achieve an efficient distribution of traffic congestion on a road network. Traffic congestion is the product of an externality: drivers do not consider the cost they impose on other drivers by entering a road. In theory, Pigouvian prices would solve the problem. In practice, however, these prices face two important limitations: i) the information required to calculate these prices is unavailable to policy makers and ii) these prices would effectively be new taxes that would transfer resources from the public to the government. I show how to construct congestion prices that retrieve the required information from the drivers and do not transfer resources to the government. I circumvent the limitations of Pigouvian prices by assuming that individuals make some mistakes when selecting routes and have a tendency towards truth-telling. Both assumptions are very robust observations in experimental economics.

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This thesis consists of an introductory chapter and four individual papers. In each paper the relationship between some form of spatial diversity and economic performance is analyzed. Diversity is treated as a potential source of externality effects, mainly in the form of knowledge spillovers. The first paper studies the impact of a broad range of spatial externalities on the productivity of manufacturing plants. While finding positive effects of specialization and competition, there is no support for positive spillovers of either related or unrelated industry diversity. The second paper argues that relatedness should be framed at the level of individuals and consequently should be measured in terms of, for example, education and occupation rather than industry belonging. The results show that educational- and occupational related diversity matter for regional productivity growth, while related industry diversity is positively related to employment growth. The third paper analyzes the importance of neighborhood related diversity, in terms of both industries and education, and internal human capital for firms’ propensity to innovate. The findings support that education and skills are strongly related to firm innovation. Additionally, firms in metropolitan regions are more innovative in neighborhoods with more related diversity in industries, while firms in rural regions seem to benefit more from related diversity in education. In the fourth paper, the location factor of interest is segregation, which may be regarded as inverse diversity. The results show that neighborhood segregation has a negative effect on individual employment. However, it is not the spatial separation of individuals with different backgrounds that causes lower employment but rather the distress of segregated neighborhoods.