Mutual Fund Growth in Standard and Specialist Market Segments

This paper is concerned with differences in the performance-flow relationship (PFR) between standard and specialist market segments of the mutual fund industry. We expect differences in this relationship because investor characteristics might vary across different segments. Our results show that the PFR is more convex in standard segments than in specialist segments. Furthermore, investors in standard segments are less risk-averse and invest more in high-load funds than investors in specialist segments. Our findings are consistent with investors in standard segments being less sophisticated than investors in specialist segments and relying more heavily on the advice of financial brokers, which is compensated for by load fees.     

Corporate leverage and the collateral channel

We investigate whether and how corporate leverage depends on the structure of corporate assets. Based on a large panel dataset of US firms from 1990 to 2010, we show that property, plant and equipment are important drivers of the collateral channel, while inventories and receivables are less important. The collateral channel is more pronounced for firms that have to rely on banks and trade creditors to raise debt finance, but it has become weaker for these firms after the start of the financial crisis. Our study provides new evidence on the cross-sectional and time-varying importance of the collateral channel for corporate leverage.     

Density versus Quality in Health Care Provision: Using Household Data to Make Budgetary Choices in Ethiopia

Usage of health facilities in Ethiopia is among the lowest inthe world; raising usage rates is probably critical for improvinghealth outcomes. The government has diagnosed the principalproblem as the lack of primary health facilities and is devotinga large share of the health budget to building more facilities.But household data suggest that usage of health facilities issensitive not just to the distance to the nearest facility butalso to the quality of health care provided. If the qualityof weak facilities were raised to that currently provided bythe majority of facilities in Ethiopia, usage would rise significantly.National data suggest that given the current density and qualityof service provision, additional expenditure on improving thequality of service delivery will be more cost-effective thanincreasing the density of service provision. The budget allocationrule presented in the article can help local policymakers makedecisions about how to allocate funds between improving thequality of care and decreasing the distance to the nearest healthcare facility.     

Asset accumulation,interdependence and technological change: evidence from pharmaceutical drug discovery

Although the resource‐based view of the firm has been written about extensively, the process by which firm assets are accumulated has not been explored in detail. That is, we know little about the micro‐level mechanisms by which assets are built, nor do we have sufficient empirical evidence why some assets are more difficult to imitate, trade, or substitute. In this exploratory paper, we attempt to provide a better understanding of asset accumulation via an empirical research program in pharmaceutical drug discovery. Using a combination of field research, discovery data from nine pharmaceutical firms, and data on 218 alliances involving new technologies for experimentation and testing, three causes affecting asset accumulation are identified and described. First, the difficulty of imitating a particular asset is affected by interdependencies with other assets. Second, trading of assets can be impeded by structural inertia in the core of a firm that is adopting the technology asset. And third, fully specifying all factors affecting imitation and trading ex ante is very difficult, if not nearly impossible, under conditions of rapid technological change. We propose that the complex interactions of these causes can give rise to imperfections in factor markets. Finally, implications for further research are discussed as well. Copyright © 2002 John Wiley & Sons, Ltd.     

Increasing the price variation in a repeated cross section

Insufficient price variation seriously hampers many applications of consumer demand models. This paper examines the empirical performance of a potential remedy for this problem that was suggested by [Lewbel, A., 1989. Identification and estimation of equivalence scales under weak separability. Review of Economic Studies 56, 311–316], the construction of individual specific price indices for bundles of goods. These individual specific price indices allow for a population with heterogeneity in preferences for goods within a given bundle of goods. We confine ourselves to heterogeneous Cobb Douglas within bundle preferences, while between bundles, we allow for several parametric and even general nonparametric specifications. In a variety of settings, we show that such prices produce superior empirical results than the ones obtained through the traditional practice of using aggregate price indices. Our empirical analysis is based on the British Family Expenditure Survey data, and uses several categories of food. Both in parametric as well as nonparametric models, we obtain higher precision of estimates for parameters or functions, as well as economically more plausible results.     

Structural measurement errors in nonseparable models

This paper considers measurement error from a new perspective. In surveys, response errors are often caused by the fact that respondents recall past events and quantities imperfectly. We explore the consequences of limited recall for the identification of marginal effects. Our identification approach is entirely nonparametric, using Matzkin-type nonseparable models that nest a large class of potential structural models. We show that measurement error due to limited recall will generally exhibit nonstandard behavior, in particular be nonclassical and differential, even for left-hand side variables in linear models. We establish that information reduction by individuals is the critical issue for the severity of recall measurement error. In order to detect information reduction, we propose a nonparametric test statistic. Finally, we propose bounds to address identification problems resulting from recall errors. We illustrate our theoretical findings using real-world data on food consumption.     

减少汽车业的浪费

汽车制造商和零件供应商可以节省巨大开支，但前提是双方要更为紧密地合作在一起麦肯锡的研究表明，北美汽车业每年在产品开发和组装过程中由于汽车生产商与供应商缺乏良好的计划和协调不当，造成了超过100亿美元的浪费。事实上．这只是较为保守的估算。因为我们的研究仅涵盖了供应商发生的成本，如：附加设计、生产工具最后改型和零件自身的附加成本。这还不包括因设计问题生产商需额外支付的改型费用、生产问题引发的车辆最终成本的增加或质保支出。这几项每年给汽车行业带来的浪费约为120亿美元。