Prejudice, exclusion, and compensating transfers: the economics of ethnic segregation

Prejudiced groups self-segregate and exclude others. This is observed in South African apartheid, in the exclusion of Eastern European or Muslim immigrants from Western Europe and in ghettos formed by immigrants in many countries. In the United States, minorities (mostly African Americans) are segregated in central cities and wealthier European Americans reside predominantly in the suburbs. A fully closed general equilibrium model of the last case is presented. The model treats land, labor and product markets. Most whites flee the inner city for white-dominated suburbs. This benefits blacks by lowering inner city rents relative to wages. When whites are weakly prejudiced, exclusion from the suburbs hurts whites as well as blacks. But when whites are strongly prejudiced, a lump sum endowment transfer from whites to blacks can split the gains-from-trade: whites can pay transfers to blacks in exchange for blacks accepting exclusion. The transfer needed to compensate blacks is large if blacks are strongly hurt by exclusion and small if they are only slightly hurt. How much transfers to US central cities and to the poor compensate American blacks for the effects of exclusion is an open question.     

Congestion, Land Use, and Job Dispersion: A General Equilibrium Model

In dispersed cities, congestion tolls would drive up central wages and rents and would induce centrally located producers to want to disperse closer to their workers and their customers, paying lower rents and realizing productivity gains from land to labor substitution. But the tolls would also induce residents to want to locate more centrally in order to economize on commuting and shopping travel. In a computable general equilibrium model, we find that the centralizing effect of tolls on residences dominates on the decentralizing effect of tolls on firms, causing the dispersed city to have more centralized job and population densities. Under stylized parameters, we find that efficiency gains from levying congestion tolls on work and shopping travel are 3.0% of average income. About 80% of such gains come from road planning and 20% from tolls.     

Do accounting standards matter to financial analysts? An empirical analysis of the effect of cross-listing from different accounting standards regimes on analyst following and forecast error

This paper explores whether the effects of cross-listing on analyst following and forecast error differ among firms with different accounting standards. The results reveal a higher increase in the number of analysts for cross-listed firms that follow their home country's GAAP prior to cross-listing and reconcile or switch to IAS/US GAAP or UK GAAP after cross-listing, compared to those that adopt IAS or US GAAP prior to cross-listing. We find that firms that switch to IAS/US GAAP have a higher increase in analyst following after cross-listing compared to firms that reconcile to IAS/US GAAP. In addition, we find a higher increase in analyst following after cross-listing for firms from low-level accounting standards environments compared to firms from high-level accounting standards environments. Our results show evidence of an increase in the magnitude of analysts’ forecast error after cross-listing for firms that follow their home country's GAAP pre-cross-listing but reconcile post-cross-listing to IAS/US GAAP or UK GAAP. On the other hand, we report a decrease in forecast error for firms that switch to IAS/US GAAP.     

The combined equilibrium of travel networks and residential location markets

The combined ‘user’ equilibrium of travel networks and residential location markets is shown to exist and to be unique in the expected allocation of households to residential locations and to the routes and links of the network, in the vacancies and rents of residential locations and in the congested travel time and cost of each network link. The formulation combines a multinomial logit model of households' location and route choices derived from utility maximization, a binary logit model of house owners' offer decisions derived from profit maximization and the standard model of network congestion. A travel disutility measure (consistent with utility maximization) replaces the standard ‘generalized cost function’. The proof utilizes a non-linear programming formulation which reproduces the simultaneous equilibrium conditions of the behavioral formulation. The stability of the unique equilibrium position is briefly discussed, a computational algorithm is proposed and hints for generalized formulations are provided.     

Rent Control with Matching Economies: A Model of European Housing Market Regulation

Housing markets are thin, and consumer search for housing is costly, time consuming, and risky. Mismatches between tenants and dwellings are common in a laissez-faire market. There are scale economies in accumulating tenants and houses and then matching them up to improve welfare. In many European countries, some housing is rent controlled and rationed by public centralized matching. Waiting time, risk in rationing, and risk in matching are costs that arise from such regulation. We show that welfare improvements over laissez-faire occur if gains from centralized matching can offset the decrease in housing quality, the possible increase in waiting times, and the risks in rationing induced by rent controls. Under regulation, there is a welfare maximizing partition of the stock into free and controlled markets; and contrary to observed practice, it is often welfare improving to set controlled rents above (not below) laissez-faire, which increases the supply offered for centralized matching and the opportunity for a better match.     

Hedonic analysis of a housing market in disequilibrium

This paper tests the hypothesis that information about housing market activity and about specific dwellings becomes capitalized into single family dwelling prices through a disequilibrium adjustment process. A dynamic price adjustment model, which is an extension of the standard hedonic model widely used in the literature, is derived, specified, and tested with both micro and aggregated data from the city of Chicago and for the period 1972–1976. The results show that from 32 to 75% of the variance in dwelling prices, unexplained by the standard hedonic attributes under assumptions of equilibrium, is explained by market activity signals such as mortgage interest rates and neighborhood transaction rates of the preceding period. Dwellings about which there is less information, making comparison pricing difficult, are shown to command a price premium. The standard equilibrium hypothesis appears readily rejectable and better predictions are obtained from the disequilibrium specifications. Several directions for extending this line of research are discussed.     

What drives global B2B e-commerce usage: an analysis of the effect of the complexity of trading system and competition pressure

The purpose of this paper is to examine the conditions in which B2B e-commerce is most likely to diffuse widely at the country level. This paper examines the role of trading system complexity and pressure of competition on B2B EC diffusion by controlling Gross domestic product (GDP) per capita and Information and Communication Technology (ICT) infrastructure. Our sample comprises a pool of country-year dataset from 143 countries over a three-year period (2014–2016). The data were collected from Network Readiness Index Report and Global Competitiveness Report. The findings provide evidence that greater the complexity of trading relationships with the global economy and high level of pressure from the competition are the main forces for B2B use across countries. Consequently, the authors suggest that having a strong trade relationship with developed countries with matured B2B e-commerce practice is helpful in sustaining B2B e-commerce use across countries.     

A real option approach to the protection of a habitat dependent endangered species

We use a real option approach to determine when a social planner has to stop or resume logging in situations where an endangered species relies on forest habitat for its survival. Logging affects the stochastic process followed by the habitat of the endangered species, which disappears irreversibly if its habitat reaches a critical extinction level. As long as the endangered species is still in existence, the social planner manages logging in such a way as to balance the risk of extinction against the benefits from commercial wood exploitation. The model incorporates economic, ecological, and social features. It is solved analytically to characterize the optimal forest management rule. Then it is applied to the case of the Rangifer tarandus caribou, an endangered species in Central Labrador (Canada). The parameters of the habitat process are estimated by Monte Carlo methods. The policy implied by the model – alternatively banning and resuming logging according to appropriate habitat threshold levels – turns out to be quite attractive; it does not require long banning periods while it drastically reduces the extinction risk and increases forest value.     

Network defense and behavioral biases: an experimental study

Experimental Economics - How do people distribute defenses over a directed network attack graph, where they must defend a critical node? This question is of interest to computer scientists,...     

Great Galway Goslings: Organizational Context of Managerial Accounting*

This case seeks to enhance student understanding of the relationship between accounting information and the order fulfllment and production activities of a manufacturing frm, Great Galway Goslings. Great Galway Goslings manufactures goose sculptures and has been suffering losses in recent years. Students draw on the skills they learned in financial accounting to analyze the company's order fulfllment activities, identify economic transactions, and prepare journal entries. The case provides a link to managerial accounting topics as students use segment financial statements to create contribution margin income statements, perform break‐even analyses, and recommend whether Great Galway Goslings should keep its retail business segment. Students will become familiar with the key features of business process management (BPM) and the extensive, real‐world activities that a manufacturing entity engages in to fll an order. Students will analyze the company's existing order fulfllment process and apply their knowledge of BPM to recommend process improvements for Great Galway. This case contributes to the accounting case literature by serving as a bridge from financial accounting to managerial accounting, intertwining many topics from managerial accounting into one cohesive case, and providing real‐world business process knowledge. Student feedback indicates that, overall, the case met its stated learning objectives. Great Galway Goslings is appropriate for an undergraduate introductory managerial accounting course but can be adapted to the equivalent graduate‐level course or an accounting information systems course.