Testing for Linearity

The problem of testing for linearity and the number of regimes in the context of self‐exciting threshold autoregressive (SETAR) models is reviewed. We describe least‐squares methods of estimation and inference. The primary complication is that the testing problem is non‐standard, due to the presence of parameters which are only defined under the alternative, so the asymptotic distribution of the test statistics is non‐standard. Simulation methods to calculate asymptotic and bootstrap distributions are presented. As the sampling distributions are quite sensitive to conditional heteroskedasticity in the error, careful modeling of the conditional variance is necessary for accurate inference on the conditional mean. We illustrate these methods with two applications — annual sunspot means and monthly U.S. industrial production. We find that annual sunspots and monthly industrial production are SETAR(2) processes.     

Organizational Culture and Organizational Change: The Transformation of Savings Banks in Denmark, 1965-1990

In this article, I argue that organizations' historical narrativesare a basic and important component of their culture and identity,and that these narratives can be resources as well as constraints.I combine a narrative approach with Joanne Martin's three perspectivetheory of organizational culture, and using the transformationof Danish savings banks as a case, I demonstrate how a narrativeapproach can provide a new and better understanding of organizationalbehaviour and change than mainstream economics and the abundantfunctionalist organizational culture literature. I demonstratehow, when change was called for by external pressures, the savingsbanks choice set was constrained by a shared narrative abouttheir historical origins. This narrative, in turn, constitutedthe identity, image and organizational culture of savings banksand to a high degree restrained learning capabilities, createdorganizational inertia and delayed the adoption of a new strategy.     

Structural estimates of the intergenerational education correlation

Using a structural dynamic programming model, we investigate the relative importance of family background variables and individual specific abilities in explaining cross‐sectional differences in schooling attainments and wages. Each type of ability is the sum of one component correlated with family background variables and a residual (orthogonal) component which is purely individual specific. Household background variables (especially parents' education) account for 68% of the explained cross‐sectional variations in schooling attainments, while ability correlated with background variables accounts for 17% and pure individual specific ability accounts for 15%. Interestingly, individual differences in wages are mostly explained by pure individual specific abilities as they account for as much as 73% of the explained variations in wages. Family background variables account for only 19%, while ability endowments correlated with family background account for 8%. Copyright © 2003 John Wiley & Sons, Ltd.     

A multidimensional scale for measuring business ethics: A purification and refinement

Many researchers in the field of business ethics have attempted to develop methods to determine and evaluate the ethics of a variety of different classes of people, including students, professionals, and mixed samples of students and professionals. Unfortunately, most of these studies were disjunctive, simply adding confusion to an already unfocused area of research. However, Reidenbach and Robin (1988, 1990), have changed this trend by attempting to quantify the various ethical philosophies into a multi-dimensional scale of business ethics. This paper examines the background of the Reidenbach and Robin (1988, 1990) scale — including the authors' findings, empirically tests the scale, and concludes that the scale needs further refinement. A promising result is a model with four dimensions: a broadbased ethical judgment dimension, a deontological judgment dimension, a teleological judgment dimension, and a social contract dimension.Randall S. Hansen is ABD at Florida State University, where his major is marketing and his support area is strategic management. His research interests are directed toward the applied areas of managerial and consumer ethical decision-making as well as strategic issues in social responsibility. He has published in theProceedings of the Academy of Marketing Science, Proceedings of the Southern Marketing Association, andProceedings of the Southern Management Association.     

The use of term structure information in the hedging of mortgage‐backed securities

This article examines the importance of term structure variables in the hedging of mortgage‐backed securities (MBS) with Treasury futures. Koutmos, G., Kroner, K., and Pericli, A. (1998) find that the optimal hedge ratio is time varying; we determine the effect of yield levels and slopes on this variation. As these variables are closely tied with mortgage refinancing, intuition suggests them to be relevant determinants of the hedge ratio. It was found that a properly specified model of the time varying hedge ratio that excludes the level and slope of the yield curve from the information set would provide similar out‐of‐sample hedging results to a model in which term structure information is included. Thus, both the level of interest rates and the slope of the yield curve are unimportant variables in determining the empirically optimal hedge ratio between MBS and Treasury futures contracts. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:661–678, 2005     

Endogenous schooling and the distribution of the gender wage gap

Previous studies on the gender wage gap have relied on OLS when estimating the wage equations. However, a number of recent studies, devoted to estimating the return to education, have shown that OLS may produce biased estimates for a number of reasons. As a consequence, previous results regarding the gender wage gap may also be biased. In this paper, we first estimate wage equations using a GMM procedure applied to panel data and then investigate the distribution of the gender wage gap. The results indicate that OLS may seriously overestimate the unexplained gender wage gap.First version received: October 2001/Final version accepted: July 2003     

The Rise in Danish Unemployment: Reallocation or Mismatch?*

The two main competing theories for the outward shift in the uv‐curve are investigated: increased separations from employment at a given employment level (reallocation) and decreased levels of hires, given unemployment and vacancies (mismatch). Shifts in the unemployment–vacancy (uv)‐curve and the hiring function are modelled by smooth transition functions, and the hypothesis of analogous shifts in the two curves is tested and accepted. This is interpreted as evidence in favour of the mismatch hypotheses.     

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