Hunting the Whale: More Evidence on State Government Leviathans

Caplan holds that governments are Leviathans, seeking to extend their power by increasing government expenditures beyond the level preferred by voters. We extend Caplan's model by examining the real (percentage) growth rates of government. We also examine whether government size increases at an increasing rate as the minority party weakens. We find evidence that supports and fails to support the original Leviathan hypothesis. We also fail to support our extensions of Caplan's hypothesis. Furthermore, our significant and contrary results have intuitively appealing interpretations. From these results, we conclude that the impact of political party power on government spending is ambiguous.     

On the governmental use of multi-criteria analysis

Public decision making, especially about our natural environment, is inherently exposed to a high conflict potential. The necessity to capture the complex context has led to an increasing request for decision analytic techniques as support for the decision process. Multi-criteria analysis (MCA) is deemed to overcome the shortcomings of traditional decision-support tools used in economics, such as cost-benefit (CBA) or cost-effectiveness analysis (CEA). This is due, among other, to its ability of dealing with qualitative criteria (e.g. sensitive ecological factors), as well as with uncertainties about current or future impacts. Unlike CBA or CEA, MCA is rarely required by national laws or directives. Nonetheless, a number of recent MCA applications were supported by public authorities who either initiated or directly participated in such analyses. Given the theoretical assumptions about MCA's potential to support complex decision problems, as is often the case for environmental or sustainability policies, the key concern in our paper is to evaluate whether this potential has already been recognised in public decision making. For limitation purposes, the present work focuses on real-life case studies reported during the last decade with an insight in the initiation, the actors involved and the importance of the MCA results in the decision process. We argue that the significance and role played by MCA so far reaches beyond its current legal requirements.     

Closed-form valuation of American call options on stocks paying multiple dividends

An American call option on a stock paying a single known dividend can be valued using the Roll–Geske–Whaley formula. This paper extends the Roll–Geske–Whaley model to the n dividends case by using the generalized n-fold compound option model. In this way this paper offers a closed-form solution for American options on stocks paying n known discrete dividends. Moreover, the model also offers the critical values of the early exercise boundaries at each ex-dividend date instant, making it easy to define an early exercise strategy. Numerical examples are included to illustrate this approach.     

Corporate Sustainability Performance and Idiosyncratic Risk: A Global Perspective

Does investing in sustainability leaders affect portfolio performance? Analyzing two mutually exclusive leading and lagging global corporate sustainability portfolios (Dow Jones) finds that (1) leading sustainability firms do not underperform the market portfolio, and (2) their lagging counterparts outperform the market portfolio and the leading portfolio. Notably, we find leading (lagging) corporate social performance (CSP) firms exhibit significantly lower (higher) idiosyncratic risk and that idiosyncratic risk might be priced by the broader global equity market. We develop an idiosyncratic risk factor and find that its inclusion significantly reduces the apparent difference in performance between leading and lagging CSP portfolios.     

All in the family: why non-democratic leaders have more children

Economists have come to learn that politics matters. But survival matters the most to those involved in politics. We provide a theory whereby non-benevolent, non-democratic leaders increase their expected family size to raise the likelihood that a child will be a match at continuing the regime’s survival. As a consequence, having a larger family size raises the non-democratic leader’s expected rents that they can exploit from the citizenry. In contrast, democratic leaders have a lower desire to appropriate rents from the citizenry, and therefore have a diminished desire to have additional children for these purposes. We construct a data set of the number of children of country leaders as of August 31, 2005. We find that in a sample of 221 country leaders, fully non-democratic leaders have approximately 1.5–2.5 more actual children as compared to if they are fully democratic. This empirical relationship is established controlling for a full array of country specific as well as individual specific variables. Our finding also continues to hold when using alternative measures of family size. This paper has been prepared for a conference honoring Herschel I. Grossman at Brown University in April of 2006. We thank our discussant, Murat Iyigun, an anonymous referee, Michelle Garfinkel and conference participants for excellent suggestions.     

Shared organizational values: Measurement and impact upon strategic marketing implementation

The concept of shared organizational values and its impact upon successful marketing strategy implementation are discussed. The need to measure the degree to which values within the organization are shared is stressed. A method to quantitatively measure the degree of value congruency and the strength of value consistency is proposed. An exploratory, empirical study is presented in which organization values are measured and found to impact upon strategy implementation.     

A Bootstrap Method for Identifying and Evaluating a Structural Vector Autoregression*

Graph‐theoretic methods of causal search based on the ideas of Pearl (2000), Spirtes et al. (2000), and others have been applied by a number of researchers to economic data, particularly by Swanson and Granger (1997) to the problem of finding a data‐based contemporaneous causal order for the structural vector autoregression, rather than, as is typically done, assuming a weakly justified Choleski order. Demiralp and Hoover (2003) provided Monte Carlo evidence that such methods were effective, provided that signal strengths were sufficiently high. Unfortunately, in applications to actual data, such Monte Carlo simulations are of limited value, as the causal structure of the true data‐generating process is necessarily unknown. In this paper, we present a bootstrap procedure that can be applied to actual data (i.e. without knowledge of the true causal structure). We show with an applied example and a simulation study that the procedure is an effective tool for assessing our confidence in causal orders identified by graph‐theoretic search algorithms.