Core is manipulable via segmentation

Any allocation rule that picks only core allocations is manipulable via segmentation. That is, there exists an economy with a coalition of agents such that, once this coalition splits momentarily from the rest of the economy and institutes the allocation rule within itself, no matter which individually rational sub-allocation the complementary coalition picks, when we paste all the agents back together at their new endowments and apply the allocation rule to this “collage” economy, each member of the former coalition will be strictly better off than under direct application of the allocation rule to the original economy.     

Volatility Spillover Effects in Interregional Equity Markets: Empirical Evidence from Brazil and Turkey

We investigate volatility spillovers between two stock markets: Turkey and Brazil. Using a misspecification-robust causality-in-variance test, we find evidence supporting volatility spillovers from the São Paulo Stock Exchange to the Istanbul Stock Exchange. Moreover, the results imply that financial crises may change the nature of volatility spillovers between the two markets by adding an additional channel of volatility transmission from Turkey to Brazil.     

More on phantom bidding

Summary. A phantom bidding model is analyzed for a sale auction. The following issues are addressed: the effects of phantom bidding on overall social welfare and buyers' profits. It is shown that social welfare may increase or decrease as the auctioneer switches from the fixed reserve price policy to phantom bidding. The buyers' profits will increase whenever social welfare increases. Received: November 4, 1998; revised version: February 8, 1999     

The limit of law: factors influencing the decision to make harmful acts illegal

Economics of Governance - This paper examines factors affecting the decision of whether or not to make certain harmful acts illegal. It considers factors related both to the cost of law enforcement...     

Capacity overhang and corporate disinvestment decisions

We use a stochastic frontier model to estimate a firm's capacity overhang. We find that excess capacity is positively related to a drop in new capital expenditures, an accumulation of depleted long-term assets, and outright sales of investment assets. However, the sale of long-term assets (property, plant, and equipment [PP&E]) peaks for intermediate levels of excess capacity and then declines. We attribute this to growth options. We test for evidence of a preference ordering in the firm's choice of responding to excess capacity and find evidence for a pecking order in firm disinvestment, where sales of long-term assets are a measure of last resort.     

What Triggers Inflation in Emerging Market Economies?

This study aims at investigating the factors associated with the start of 24 inflation episodes in 15 emerging market economies (EMEs) between 1980 and 2001. The paper employs pooled probit analysis to estimate the contribution of the key factors to inflation starts. The empirical results suggest that increases in the output gap, agricultural shocks, and expansionary fiscal policy raise the probability of inflation starts in EMEs. The findings also indicate that a more democratic environment and an increase in capital flows relative to GDP reduce the probability of inflation starts. JEL no. E31, E58     

The maximum entropy median in the presence of an outlier

When a random sample of size n from a standard normal population is contaminated by a normal outlier with either a different mean or a different variance, the maximum entropy median outperforms the sample median in terms of squared-error loss. The only exception is when n=3 and the outlier mean or variance is sufficiently different.     

A yield management model for five-star hotels: Computerized and non-computerized implementation

The purpose of this study was to propose an enhanced yield management (YM) model that was developed based on the previous models and to test the applicability on five-star lodging properties in Turkey to identify the related problems. The proposed model overcomes some of the limitations of previous ones. It was specifically developed for full service, upscale hotels, namely for five-star lodging properties with or without a computerized yield management system (CYMS). Examination of the actual implementation stages provided useful insight in determining the applicability and the problems related to the application of the model. Findings indicted that the proposed YM model can be used by all upscale properties (with or without a CYMS) to manage their revenue and yield. Findings suggested that the application of the model is likely to improve the operational and financial performance for both type of properties.     

Sample size needed for calibrating trip distribution and behavior of the gravity model

Conventional calibration algorithms of trip distribution models assume that the analyst has a whole base year trip matrix. To attain a whole trip matrix, the sample size for travel surveys needed to be as large as possible. However, this could be very expensive especially in large cities. Some studies in the past showed a small sized sample would be enough to estimate functional parameters of observed trip length frequency distribution. But the performance of a gravity model with small sized samples has never been addressed. This empirical study has shown that sample sizes as small as 1000 (even smaller for quick response studies) could be as dependable as large sample surveys using a line search calibration algorithm.