Targeting Revisited

Public spending programs aimed at alleviating poverty can eitherbe broadly targeted at categories ofspending or narrowly targetedat types of people. Each approach has benefits and costs tothe poor. It is often claimed that narrow targeting of the poorwill allow governments to reduce pQverty more effectively andat lower cost. But narrow targeting often has hidden costs,and once these costs are considered, the most finely targetedpolicy may not have any more effect on poverty than a broadlytargeted one. Both approaches also have hidden benefits, althoughless is known about their impact. Targeting can help, but itis not a cure-all. Reducing poverty calls for broadly targetedsocial sector spending combined with narrower targeting of cashand in-kind transfers to spec groups. It is also important forgovernments to experiment with schemes that offer better incentives,to carefully monitor the costs and outcomes, and to be flexibleand pragmatic in their policy responses.      

Predicting the duration and reversal probability of leveraged buyouts

We examine the probability that a firm will return to public status following a leveraged buyout (LBO) transaction and for those LBOs that will eventually reverse, we examine the factors that impact the timing of the reversal. These two dimensions of the reversal decision are studied by estimating standard and split population hazard models for a sample of 343 LBO transactions. Our results indicate that not all LBO firms eventually will reverse, i.e. the net benefits of private status for some firms appear to be permanent. For those LBOs that will reverse, reversal probabilities are found to increase over the first seven or eight years following a typical LBO, then to decline thereafter.     

The price path due to order imbalances: evidence from the Amsterdam Agricultural Futures Exchange

The lack of sufficient market depth particularly in many newly initiated futures markets results in relatively high hedging costs, and this inhibits the growth of futures contract volume. In this article the price path due to order imbalances is analyzed and a two-dimensional market depth measure is derived.Understanding the underlying structure of futures market depth provides the management of the futures exchange with a framework for improving their market depth and gives hedgers a better understanding of market depth risk. The managerial implications of our findings are demonstrated empirically using data from the Amsterdam Agricultural Futures Exchange.     

The Fuzzy Front End of New Product Development for Discontinuous Innovations: A Theoretical Model

The fuzzy front end of the new product development (NPD) process, the time and activity prior to an organization's first screen of a new product idea, is the root of success for firms involved with discontinuous new product innovation. Yet understanding the fuzzy front‐end process has been a challenge for academics and organizations alike. While approaches to handling the fuzzy front end have been suggested in the literature, these tend to be relevant largely for incremental new product situations where organizations are aware of and are involved in the NPD process from the project's beginning. For incremental new products, structured problems or opportunities typically are laid out at the organizational level and are directed to individuals for information gathering. In the case of discontinuous innovations, however, we propose that the process works in the opposite direction—that is, that the timing and likelihood of organizational‐level involvement is more likely to be at the discretion of individuals. Such individuals perform a boundary‐spanning function by identifying and by understanding emerging patterns in the environment, with little or no direction from the organization. Often, these same individuals also act as gatekeepers by deciding on the value to the organization of externally derived information, as well as whether such information will be shared. Consequently for discontinuous innovations, information search and related problems/opportunities are unstructured and are at the individual level during the fuzzy front end. As such, the direction of initial decisions about new environmental information tends to be inward, toward the corporate decision‐making level, rather than the other way around. In order to cope with the special and complex nature of decisions made at the fuzzy front end of NPD for discontinuous innovations, this process is detailed as a series of decisions occurring over three proposed interfaces: boundary, gatekeeping, and project. The difference between each interface lies in the nature of the decisions made: At the boundary and gatekeeping interfaces, the primary impetus is individual‐level decision‐making; at the project interface, decisions occur at the organizational level. By articulating these processes in the form of a model, we achieve two objectives: (1) We outline a more detailed and comprehensive approach to understanding the nature of the front‐end decision making process for discontinuous innovations; and (2) we detail specific propositions for future research on each stage of the process.     

Incumbent strategic behavior in financial markets and the exit of entrepreneurial start‐ups

This paper empirically investigates the forces that shape the post‐entry exit probability of entrepreneurial start‐ups, with an emphasis on the impact of incumbents' strategic behavior in financial markets. We find that entrepreneurial start‐ups in highly competitive industries are more likely to exit and that leverage compounds this exit risk. However, the latter result only holds when potential adverse selection and moral hazard problems in financial markets are large at start‐up. Under these circumstances, competitors can negatively influence creditors' perceptions on entrepreneurial quality or behavior through aggressive strategic actions to impede future financing and induce the start‐up's exit. Copyright © 2004 John Wiley & Sons, Ltd.     

Automatic Editing for Business Surveys: An Assessment of Selected Algorithms

Statistical offices are responsible for publishing accurate statistical information about many different aspects of society. This task is complicated considerably by the fact that data collected by statistical offices generally contain errors. These errors have to be corrected before reliable statistical information can be published. This correction process is referred to as statistical data editing. Traditionally, data editing was mainly an interactive activity with the aim to correct all data in every detail. For that reason the data editing process was both expensive and time-consuming. To improve the efficiency of the editing process it can be partly automated. One often divides the statistical data editing process into the error localisation step and the imputation step. In this article we restrict ourselves to discussing the former step, and provide an assessment, based on personal experience, of several selected algorithms for automatically solving the error localisation problem for numerical (continuous) data. Our article can be seen as an extension of the overview article by Liepins, Garfinkel & Kunnathur (1982). All algorithms we discuss are based on the (generalised) Fellegi–Holt paradigm that says that the data of a record should be made to satisfy all edits by changing the fewest possible (weighted) number of fields. The error localisation problem may have several optimal solutions for a record. In contrast to what is common in the literature, most of the algorithms we describe aim to find all optimal solutions rather than just one. As numerical data mostly occur in business surveys, the described algorithms are mainly suitable for business surveys and less so for social surveys. For four algorithms we compare the computing times on six realistic data sets as well as their complexity.     

New Nonlinear Approaches for the Adjustment and Updating of a SAM

Many structural relationships should be taken into account in any reasonable adjustment and updating process. These structural relationships are mainly represented by ratios of different types, such as technical coefficients or the proportion of the cell value in relation to its row or column total. We believe that in many cases (either because of lack of information or when the time elapsed for the estimation of a social accounting matrix is not long enough to allow for any significant structural change) the updating process should try to minimize the rela- tive deviation of the new coefficients from the initial ones in a homogeneous way. This homogeneity would mean that the magnitude of this relative deviation is similar among the elements of each row or column, therefore avoiding the concentration of the changes in particular cells of the SAM. In this work, we propose some new adjustment criteria in order to obtain a more homogeneous relative adjustment of the structural coefficients. These criteria combine the adjustment method proposed by Matuszewski et al. (1964) with other deviation functions. Each of the adjustment criteria proposed leads to a nonlinear optimization problem which is reformulated as a linear program. We test the usefulness of this proposal by comparing its results with the ones obtained by more standard approaches and we are able to show that these approaches tend to produce a less homogeneous pattern of coefficient adjustment, under certain circumstances, than the ones we put forward.     

Christofides’ randomized response technique in complex sample surveys

Christofides (2003) has given an improved modification of Warners (1965) pioneering randomized response (RR) technique in estimating an unknown proportion of people bearing a sensitive characteristic in a given community. As both these RR devices are shown to yield unbiased estimators based only on simple random sampling (SRS) with replacement (WR) but in practice samples are mostly taken with unequal selection probabilities without replacement (WOR), here we present methods of estimation when Christofides RR data are available from unequal probability samples. Warners (1965) RR device was earlier shown by Chaudhuri (2001) to be applicable in complex surveys. For completeness we present estimators for the variance of our estimator and also describe what to do if some people opt to divulge truths.This research is partially supported by CSIR grant No. 21(0539)/02/EMR-II