Testing Rival Theories of Budgetary Decision–making in the US States

This article tests three common budgetary decision–making theories in the US states. Pooled time series cross–section analysis is used from 1960 to 1996 to test the garbage can theory and incrementalism, and from 1989 to 1996 to test various theories of rational budgeting. The results demonstrate that there was some support for all three theories in terms of their impact on reducing state budget outputs. Rational budgeting reduces expenditures in aggregate, incrementalism has relatively low explanatory power below the aggregates, and garbage can budgeting is more prevalent in functional areas than for government as a whole. These findings imply that the future research agenda on budgetary decision–making theories should focus more on a system–wide approach, which takes into account many of the characteristics of all three rival models of decision–making, rather than exclusively focusing on each one singly.     

Equilibrium Investment Strategies and Output Price Behavior: A Real-Options Approach

The effects of competitive interactions on investment decisionsand on the dynamics of the price of a nonstorable commodityare studied in a model of incremental investment with time tobuild and operating flexibility. I find that an increase inuncertainty may encourage firms to increase their capacity.Furthermore, I show that it may be optimal to invest in additionalcapacity during periods in which part of the operational capacityis not being utilized. The impact of competition on the propertiesof the endogenous output price is dramatic. For example, I findthat price volatility may be increasing in the number of competitorsin the industry.     

Intertemporal Substitution and Terms-of-Trade Shocks

The paper examines the relationship between transitory terms‐of‐trade shocks and private saving. Using a model allowing for nonseparability between the consumption of tradables and nontradables, the paper estimates the intertemporal elasticity of substitution while accounting for the intratemporal elasticity of substitution between the consumption of tradables and nontradables. Empirical analysis of data for five industrial countries indicates that in response to transitory terms‐of‐trade shocks, intertemporal substitution of consumption and intratemporal substitution of consumption between tradables and nontradables both have large effects on private saving.     

Effect Sizes in Qualitative Research: A Prolegomenon

The American Psychological Association Task Force recommended that researchers always report and interpret effect sizes for quantitative data. However, no such recommendation was made for qualitative data. Thus, the first objective of the present paper is to provide a rationale for reporting and interpreting effect sizes in qualitative research. Arguments are presented that effect sizes enhance the process of verstehen/hermeneutics advocated by interpretive researchers. The second objective of this paper is to provide a typology of effect sizes in qualitative research. Examples are given illustrating various applications of effect sizes. For instance, when conducting typological analyses, qualitative analysts only identify emergent themes; yet, these themes can be quantitized to ascertain the hierarchical structure of emergent themes. The final objective is to illustrate how inferential statistics can be utilized in qualitative data analyses. This can be accomplished by treating words arising from individuals, or observations emerging from a particular setting, as sample units of data that represent the total number of words/observations existing from that sample member/context. Heuristic examples are provided to demonstrate how inferential statistics can be used to provide more complex levels of verstehen than is presently undertaken in qualitative research.     

Density estimation in the uniform deconvolution model

We consider the problem of estimating a probability density function based on data that are corrupted by noise from a uniform distribution. The (nonparametric) maximum likelihood estimator for the corresponding distribution function is well defined. For the density function this is not the case. We study two nonparametric estimators for this density. The first is a type of kernel density estimate based on the empirical distribution function of the observable data. The second is a kernel density estimate based on the MLE of the distribution function of the unobservable (uncorrupted) data.     

The capital structure implications of pursuing a strategy of innovation

In this paper, we argue that consideration of firm strategy can help illuminate the choices managers make between debt and equity financing. Within an industry, the form of competition that each firm chooses will determine the strategic value to the firm of maintaining financial slack. Our empirical analysis yields strong support for the proposition that financial slack should be a particularly critical strategic imperative for firms pursuing a competitive strategy premised on innovation. We also demonstrate that firms pursuing such a strategy that fail to recognize the value of financial slack are likely to perform poorly. Copyright © 2003 John Wiley & Sons, Ltd.     

Why Press Coverage of a Client Influences the Audit Opinion

In this study I use an experiment to examine why auditors are more likely to issue going–concern opinions when the client has been the subject of negative press coverage prior to the date of the audit opinion. I find no evidence that negative press coverage increases auditors' perceptions of legal liability, as was suggested in the prior literature. I do find, however, that negative press coverage increases auditors' perception of a client's bankruptcy probability and this, in turn, leads auditors to modify the audit opinion. Because the press coverage presented in this study provides no new information, the results suggest that auditors react too strongly to redundant information. This over–reaction can result in inefficient allocation of audit resources and can have deleterious affects on clients. Accordingly, policy makers, auditors and their clients might be interested in how auditors' reliance on redundant information can be reduced.