Empirical likelihood block bootstrapping

Monte Carlo evidence has made it clear that asymptotic tests based on generalized method of moments (GMM) estimation have disappointing size. The problem is exacerbated when the moment conditions are serially correlated. Several block bootstrap techniques have been proposed to correct the problem, including Hall and Horowitz (1996) and Inoue and Shintani (2006). We propose an empirical likelihood block bootstrap procedure to improve inference where models are characterized by nonlinear moment conditions that are serially correlated of possibly infinite order. Combining the ideas of Kitamura (1997) and Brown and Newey (2002), the parameters of a model are initially estimated by GMM which are then used to compute the empirical likelihood probability weights of the blocks of moment conditions. The probability weights serve as the multinomial distribution used in resampling. The first-order asymptotic validity of the proposed procedure is proven, and a series of Monte Carlo experiments show it may improve test sizes over conventional block bootstrapping.     

Independence Threats,Litigation Risk,and the Auditor's Decision Process*

This study examines the effect of independence threats and litigation risk on auditors' evaluation of information and subsequent reporting choices. Using a Web‐based experiment, I tracked auditors' information gathering and evaluation leading to a going‐concern reporting decision. Specifically, 48 audit managers assessed client survival likelihood, gathered additional information, and suggested audit report choices. I found that auditors facing high independence threats (fear of losing the client) evaluated information as more indicative of a surviving client and were more likely to suggest an unmodified audit report, consistent with client preferences. In contrast, auditors facing high litigation risk evaluated information as more indicative of a failing client and were more likely to suggest a modified audit report. In addition, the association between risk and report choice was fully mediated by final information evaluation. This suggests that it is unlikely that different reporting choices resulted from a conscious choice bias, but rather that motivated reasoning during evidence evaluation plays a key role in the effect of risk in auditor decision making.     

Measuring Investment Distortions when Risk-Averse Managers Decide Whether to Undertake Risky Projects

We create a dynamic model in which a self-interested, risk-averse manager makes corporate investment decisions at a levered firm with characteristics typical of public US firms. We examine the magnitude of distortions in those decisions when a new project changes firm risk and find expected changes in the values of future tax shields and bankruptcy costs to be important factors. We evaluate the extent to which these distortions vary with firm leverage, debt duration, project size, managerial risk aversion, managerial non-firm wealth, and the structure of management compensation packages     

A Toy Store(y)

This article was used as the starting point for a series of seven analyses that comprise a special issue on entrepreneurial narrative. This article was given to scholars with the title “A Toy Store(y)” with no other identifying characteristics. The story describes the founding and operation of a toy store in Rutland Vermont in 1965. The story describes the process of realizing an opportunity, identifying and acquiring resources to pursue this opportunity, involving and managing others, and adapting to unforeseen circumstances as new competitive conditions are encountered.     

American political values and agency theory: A perspective

This paper explores the historical American political values which have shaped modern financial theory and agency theory. Financial agency theory's intellectual roots are shown to be located in the liberal tradition which espouses the instrumental nature of property and property rights. The paper also argues that financial theorists should recognize that, historically, economic efficiency was not a value or end in itself but merely a means by which more fundamental social goals might be achieved. Fred R. Kaen is a Professor of Finance at the University of New Hampshire. He has written many articles about financial markets and international financial management. His work has appeared in The American Economic Review, The Journal of Finance and The Journal of Money Credit and Banking. He will be spending next year at the Norwegian School of Economics and Business as a Visiting Professor of Finance. Allen Kaufman is an Assistant Professor of Business Administration at the University of New Hampshire. He has written a number of books including Capitalism, Slavery and Republican Values and his work has been published in the California Management Review, the Journal of Political and Military Sociology, and Business Horizons.Larry Zacharias is an Associate Professor of Management at the University of Massachusetts. He holds a law degree and has written many articles about corporate law and anti trust.     

The Effects of a Federal Flat Tax on Agriculture

This study examines the impact of a federal flat tax on agriculture by determining the tax liability under the current and flat tax systems using actual farm records. The study considers the linkages between agriculture and the rest of the economy by examining the impact of a flat tax on interest rates and capital investment and how those changes would affect agriculture. Results indicate that roughly 63% of agricultural producers would benefit from a flat tax in terms of lowering taxes paid. Under the flat tax, larger farms and more profitable farms would be relatively better off.