The Relation Between Insider-Trading Restrictions and Executive Compensation

In this study I investigate the relation between firm‐level insider‐trading restrictions and executive compensation. Using a trading‐window proxy for the existence of such restrictions, I test predictions that insiders will demand compensation for these restrictions and that firms will need to increase incentives to restricted insiders. I find that firms that restrict insider trading pay a premium in total compensation relative to firms not restricting insider trading, after controlling for economic determinants of pay. Furthermore, these firms use more incentive‐based compensation and their insiders hold larger equity incentives relative to firms that do not restrict insider trading. These results hold after controlling for the endogenous decision to restrict insiders and are consistent with the notion that insider trading plays a role in rewarding and motivating executives.     

Missing Markets and Redundant Reservoirs

This paper uses a two-sector, two-period,spatial model of groundwater usage withstochastic surface water supply to illustratethe potential for the suboptimal management ofthe timing of groundwater uses. A ``timeprofile externality' is said to exist when thetiming of groundwater extraction by one set ofusers impacts on the time profile of wateravailability to another set of users. Theexistence of the time of use externalitydepends on the presence of importantdifferences in the preferences between thecontrol and non-control sectors. It alsodepends on the absence of the markets thatwould internalise these differences. Oneimportant implication of the existence of suchexternalities is that they can inducesub-optimal insurance investments in the formof water storage capital, i.e., unnecessarysurface water reservoirs.     

Evaluation of dynamic stochastic general equilibrium models based on distributional comparison of simulated and historical data

We take as a starting point the existence of a joint distribution implied by different dynamic stochastic general equilibrium (DSGE) models, all of which are potentially misspecified. Our objective is to compare “true” joint distributions with ones generated by given DSGEs. This is accomplished via comparison of the empirical joint distributions (or confidence intervals) of historical and simulated time series. The tool draws on recent advances in the theory of the bootstrap, Kolmogorov type testing, and other work on the evaluation of DSGEs, aimed at comparing the second order properties of historical and simulated time series. We begin by fixing a given model as the “benchmark” model, against which all “alternative” models are to be compared. We then test whether at least one of the alternative models provides a more “accurate” approximation to the true cumulative distribution than does the benchmark model, where accuracy is measured in terms of distributional square error. Bootstrap critical values are discussed, and an illustrative example is given, in which it is shown that alternative versions of a standard DSGE model in which calibrated parameters are allowed to vary slightly perform equally well. On the other hand, there are stark differences between models when the shocks driving the models are assigned non-plausible variances and/or distributional assumptions.     

Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models

Nine macroeconomic variables are forecast in a real-time scenario using a variety of flexible specification, fixed specification, linear, and nonlinear econometric models. All models are allowed to evolve through time, and our analysis focuses on model selection and performance. In the context of real-time forecasts, flexible specification models (including linear autoregressive models with exogenous variables and nonlinear artificial neural networks) appear to offer a useful and viable alternative to less flexible fixed specification linear models for a subset of the economic variables which we examine, particularly at forecast horizons greater than 1-step ahead. We speculate that one reason for this result is that the economy is evolving (rather slowly) over time. This feature cannot easily be captured by fixed specification linear models, however, and manifests itself in the form of evolving coefficient estimates. We also provide additional evidence supporting the claim that models which ‘win’ based on one model selection criterion (say a squared error measure) do not necessarily win when an alternative selection criterion is used (say a confusion rate measure), thus highlighting the importance of the particular cost function which is used by forecasters and ‘end-users’ to evaluate their models. A wide variety of different model selection criteria and statistical tests are used to illustrate our findings.     

Listen and learn

After making a solicitation, a lot can be gained by listening to a donor's questions. Do not simply answer the question. Consider why they asked it in the first place.     

Effects of Economic Convergence on Stock Market Returns in Major EMU Member Countries

This study updates and extends existing literature by investigating the effects of economic convergence among major European Economic and Monetary Union (EMU) member countries on stock market returns in each respective nation. Main findings include: (1) long-term stability in the EMU appears to be attainable, but further integration of product and factor markets is needed to reinforce convergence of real sectors; (2) the UK can be considered a quasi EMU participant due to convergence of its key economic variables with those of formal EMU members; and (3) economic convergence appears to be an important contributing factor to returns from stock markets in the included EMU countries except Germany.     

Management earnings forecasts and other forward-looking statements

We identify forward-looking statements (FLS) in firms’ disclosures to distinguish between “forecast-like” (quantitative statements about earnings) and “other”, or non-forecast-like, FLS.  We show that, like earnings forecasts, other FLS generate significant investor and analyst responses. Unlike earnings forecasts, other FLS are issued more frequently when uncertainty is higher. We then show that earnings-related FLS are more sensitive to uncertainty than quantitative statements, suggesting that managers are more likely to alter the content than the form of FLS when uncertainty is higher.  Our study indicates that incorporating other FLS into empirical measures provides a more comprehensive proxy for firms’ voluntary disclosures.     

Making out and making do: how employees resist and make organisational change work through consent in a UK bank

This article draws on fieldwork conducted in the back‐office of a major retail UK bank and explores how, when introducing change, management drew on contradictory normative and rational discourses. Its primary concern is to explore how, in this context, employees engaged in contradictory acts that combined elements of both resistance (‘making out’) and consent (‘making do’) that are difficult to disentangle. It is argued that although both are moves within the game, they can be distinguished from each other because the former works against the grain of corporate intentions, whereas the latter works with them.     

The kill programme: an ethnographic study of ‘dirty work’ in a slaughterhouse

It has been argued that ‘dirty work’ is characterised by strong occupational and workgroup cultures. This literature has mainly focused on direct workers, but this article largely attends to indirect ‘dirty’ workers, specifically meat inspectors, through ethnographic research conducted in a UK slaughterhouse. Four arguments are developed; the first is that ‘dirty workers’ may not all display group cohesiveness; indeed, individualisation may be more evident depending upon the technology used, internationalisation and employment conditions. Second, there is complexity and diversity within ‘dirty work’ and even single occupations can contain considerable variety, rendering generalisations problematic. Third, we argue that much greater attention needs to be given to the wider contextual issues affecting ‘dirty work’, specifically changing labour markets, itinerant labour, economic conditions and technologies. Finally, we argue that stigmatised work may become more so if it is equated with the low wage economy and/or undercutting conditions of employment through exploiting migrant labour.     

Entry and capital structure mimicking in concentrated markets: The role of incumbents’ financial disclosures

We examine whether the public availability of product market incumbents' financial disclosures leads to greater capital structure mimicking of incumbents by entrants. Exploiting a change in disclosure enforcement for German private firms in the mid-2000s, we find entrant-incumbent mimicking rises substantially in concentrated markets once incumbents' financial statements are publicly available. Additional tests exploring potential mechanisms are more consistent with interfirm learning underlying the effect than alternative channels. Our findings shed light on the effects of competitor financial statement disclosure on private firms’ initial financing decisions and highlight how capital structure dependencies among peer firms arise.