Broad‐based incentive plans,HR practices and company performance

The purpose of this paper is to further develop our knowledge of the complementarities between broad‐based incentives and human resource (HR) management practices, and their combined impact on company performance. We focus on three HR practices that are expected, separately and in combination, to enhance the effectiveness of broad‐based plans: information sharing, upward communication, and training in team skills. Using a sample of 305 Canadian firms, we find that companies with broad‐based incentive plans have lower levels of upward communication and higher levels of information sharing compared with companies that do not offer incentives to the majority of their workforce. Further, we find that companies with broad‐based incentive plans are more productive compared with companies with no such plans, and the presence of supporting HR practices increases their productivity advantage even further. In particular, upward communication combined with broad‐based incentives has a strong positive relationship with productivity.     

Stock Options and Firm Performance: New Evidence from the French Market

This study investigates the effect of stock option‐based compensation on the short‐term and long‐term performance of French companies. To the best of our knowledge, we provide the first empirical evidence describing the market reaction following initiations and renewals of Employee Stock Option (ESO) plans in France. We find that the French market reacts positively to initiations of ESO plans but does not consider their renewal as relevant information. Our results on the long‐term effect of ESO plans suggest that neither the size nor the value of the grants affect the firm's accounting and market performance. Similarly, corporate performance prior to the grant has no explanatory power of the size or value of the grant. This implies that, over our sample period, the relationship between option‐based compensation and corporate performance in France was inexistent, regardless of the direction considered.     

Incentive Asymmetries in the Mergers and Acquisitions Process*

abstract This paper focuses on the relationship between incentive asymmetries and some potentially undesirable outcomes along the mergers and acquisitions (M&A) process which could potentially destroy the shareholder value of the merged corporate entity. Incentive asymmetries are seen as belonging to the three categories of ‘risk‐antecedent’, ‘information‐antecedent’ and ‘pure self‐interest antecedent’. We propose that incentive asymmetries are responsible for increases in the number of M&A projects and that they might create a ‘lemons problem’ with M&A candidates. Incentive asymmetries are also suggested to lead to prolonged contract‐writing phases, biased financial evaluations and acquisition price escalation, as well as undermined post‐M&A integration plans. If resolutions to these problems are sought, the use of high‐ and low‐powered incentive schemes will need to reflect risk, information and pure self‐interest.     

Dichotomous‐choice contingent valuation with ‘dont know’ responses and misreporting

A new approach is presented that simultaneously deals with Misreporting and Don't Know (DK) responses within a dichotomous‐choice contingent valuation framework. Utilising a modification of the standard Bayesian Probit framework, a Gibbs with Metropolis–Hastings algorithm is used to estimate the posterior densities for the parameters of interest. Several model specifications are applied to two contingent valuation datasets: one on wolf management plans, and one on the US Fee Demonstration Program. We find that DKs are more likely to be from people who would be predicted to have positive utility for the bid. Therefore, a DK is more likely to be a YES than a NO. We also find evidence of misreporting, primarily in favour of the NO option. The inclusion of DK responses has an unpredictable impact on willingness‐to‐pay estimates, since it impacts differently on the results for the two datasets we examine. Copyright © 2009 John Wiley & Sons, Ltd.     

IDENTIFICATION ISSUES IN LIMITED‐INFORMATION BAYESIAN ANALYSIS OF STRUCTURAL MACROECONOMIC MODELS

The likelihood of the parameters in structural macroeconomic models typically has non‐identification regions over which it is constant. When sufficiently diffuse priors are used, the posterior piles up in such non‐identification regions. Use of informative priors can lead to the opposite, so both can generate spurious inference. We propose priors/posteriors on the structural parameters that are implied by priors/posteriors on the parameters of an embedding reduced‐form model. An example of such a prior is the Jeffreys prior. We use it to conduct Bayesian limited‐information inference on the new Keynesian Phillips curve with a VAR reduced form for US data. Copyright © 2014 John Wiley & Sons, Ltd.     

Too Good to be True: Board Structural Independence as a Moderator of CEO Pay‐for‐Firm‐Performance

Whether voluntary or mandatory in nature, most recent corporate governance codes of best practice assume that board structural independence, and the application by boards of outcome‐based incentive plans, are important boundary conditions for the enforcement of Chief Executive Officer (CEO) pay‐for‐firm‐performance; that is, for optimal contracting between owners and executive agents. We test this logic on a large Australian sample using a system Generalized Method of Moments (GMM) approach to dynamic panel data estimation. We find that Australian boards exhibiting best practice structural arrangements – those chaired by non‐executives and dominated by non‐executive directors at the full board and compensation committee levels – are no more adept at enforcing CEO pay‐for‐firm‐performance than are executive‐dominated boards. These findings suggest that policy makers' faith in incentive plans and the moderating influence of structural independence per se may be misplaced. Our findings also hold significant implications for corporate governance theory. Specifically, the findings lend further support to a contingency‐based understanding of board composition, reward choice and monitoring; an approach integrating the insights afforded by behavioural approaches to Agency Theory and by social‐cognitive and institutional understandings of director outlook, decision‐making and behaviour.     

Benefits and Strategic Outcomes: Are Supplemental Retirement Plans and Safer Driving Related in the U.S. Trucking Industry?

We suggest that a firm's benefits can relate to important organizational outcomes that have strategic implications. We propose a number of mechanisms that could relate benefits to strategic outcomes, including the notion that benefits can help attract and retain the type of employees who are most likely to perform in ways consistent with the firms’ strategies. We illustrate this with the case of supplemental retirement benefits in an actual setting, the long‐haul trucking industry. We report positive organization‐level relationships associated with the management choice of offering these benefits. Our results show that firms offering supplemental retirement plans engage in significantly safer driving practices, as measured by the proxy of driver insurance costs, as hypothesized. These findings show that benefits can be related to outcomes that have strategic implications for the firm. By showing that retirement plans may be of value to organizations, we help to bridge the academic‐practitioner divide and provide motivation and guidance for additional work on this important but underresearched topic. © 2015 Wiley Periodicals, Inc.     

Resilient Growth: Fantasy Plans and Unplanned Developments in India's Flood‐Prone Coastal Cities

Academic and policy literatures on urban climate resilience tend to emphasize ‘good planning’ as the primary means for addressing the growing risk of flooding in Asia's coastal megacities. Cities have come to rely on disaster and climate resilience plans to future‐proof their landscapes and protect vulnerable populations. Yet while data is collected, models are built and plans are drafted, environmentally destructive development practices continue unabated and often unchallenged. This article examines and seeks to explain the contradictions between a growing awareness of the risks of climate‐induced flooding in resilience plans and the continuation of development practices widely acknowledged to exacerbate those risks. It analyzes these contradictions in the context of Mumbai and Kolkata, India's largest coastal cities, which are facing the severest threats from climate‐induced flooding. Based on analyses of key resilience planning documents and both planned and unplanned developments in some of Mumbai's and Kolkata's most ecologically sensitive areas, our analysis reveals that resilience planning, promoted by the central government and international consultants, and presented in locally produced ‘fantasy plans’, fails to address the risks of climate‐change‐related flooding owing to tendencies to sidestep questions of politics, power and the distributional conflicts that shape urban development. We conclude that efforts to reduce urban flood risk would benefit from the research, methods and analytic concepts used to critically study cities, but significant gaps remain between these fields.     

Sequential Monte Carlo Methods for Estimating Dynamic Microeconomic Models

This paper develops estimators for dynamic microeconomic models with serially correlated unobserved state variables using sequential Monte Carlo methods to estimate the parameters and the distribution of the unobservables. If persistent unobservables are ignored, the estimates can be subject to a dynamic form of sample selection bias. We focus on single‐agent dynamic discrete‐choice models and dynamic games of incomplete information. We propose a full‐solution maximum likelihood procedure and a two‐step method and use them to estimate an extended version of the capital replacement model of Rust with the original data and in a Monte Carlo study. Copyright © 2015 John Wiley & Sons, Ltd.     

Evaluating Form and Functionality of Pay‐for‐Performance Plans: The Relative Incentive and Sorting Effects of Merit Pay,Bonuses, and Long‐Term Incentives

Using two‐year longitudinal data from a large sample of US employees from a service‐related organization, the present study investigates the relative effects of three forms of pay‐for‐performance (PFP) plans on employees’ job performance (incentive effects) and voluntary turnover (sorting effects). The study differentiates between three forms of pay: merit pay, individual‐based bonuses, and long‐term incentives. By definition, these PFP plans have different structural elements that distinguish them from each other (i.e., pay plan form) and different characteristics (functionality), such as the degree to which pay and performance are linked and the size of the rewards, which can vary both within and across plan types. Our results provide evidence that merit raises have larger incentive and sorting effects than bonuses and long‐term incentives in multi‐PFP plan environments where the three PFP plans are operating simultaneously. Only merit pay has both incentive and sorting effects among the three PFP plans. The implications for the PFP‐related theory, as well as for the design and implementation of PFP plans, are discussed. © 2015 Wiley Periodicals, Inc.     

The Multiple Effects of Business Planning on New Venture Performance

We investigate the multiple effects of writing a business plan prior to start‐up on new venture performance. We argue that the impact of business plans depends on the purpose for and circumstances in which they are being used. We offer an empirical methodology which can account for these multiple effects while disentangling real impact effects from selection effects. We apply this to English data where we find that business plans promote employment growth. This is found to be due to the impact of the plan and not selection effects.     

Co‐integration Rank Determination in Partial Systems Using Information Criteria

We investigate the asymptotic and finite sample properties of the most widely used information criteria for co‐integration rank determination in ‘partial’ systems, i.e. in co‐integrated vector autoregressive (VAR) models where a sub‐set of variables of interest is modelled conditional on another sub‐set of variables. The asymptotic properties of the Akaike information criterion (AIC), the Bayesian information criterion (BIC) and the Hannan–Quinn information criterion (HQC) are established, and consistency of BIC and HQC is proved. Notably, the consistency of BIC and HQC is robust to violations of weak exogeneity of the conditioning variables with respect to the co‐integration parameters. More precisely, BIC and HQC recover the true co‐integration rank from the partial system analysis also when the conditional model does not convey all information about the co‐integration parameters. This result opens up interesting possibilities for practitioners who can now determine the co‐integration rank in partial systems without being concerned about the weak exogeneity of the conditioning variables. A Monte Carlo experiment based on a large dimensional data generating process shows that BIC and HQC applied in partial systems perform reasonably well in small samples and comparatively better than ‘traditional’ methods for co‐integration rank determination. We further show the usefulness of our approach and the benefits of the conditional system analysis in two empirical illustrations, both based on the estimation of VAR systems on US quarterly data. Overall, our analysis shows the gains of combining information criteria with partial system analysis.     

Value at Risk in the Suburbs: Eminent Domain and the Geographical Politics of the US Foreclosure Crisis

Several US counties and local governments have recently considered a novel solution to the foreclosure crisis. They plan to use eminent domain to compel the owners of mortgage debt—and specifically of private‐label mortgage‐backed securities—to sell the debt to the government at a price reflecting the loan's market value. The government would then restructure the debt and resell it to new investors. The plans are striking because—in contrast to both development‐driven eminent domain and the federal subprime bank bailout—they would force investors to assume asset devaluation and increased long‐term risk. Notably, the plans have emerged as an instance of financialization‐focused politics in suburbs and suburban cities of color, specifically majority‐black and ‐Latino/a suburbs. Local support for the plans, we argue, is rooted in the long‐term disinvestment of these ‘suburbs of exception', which became targets of subprime lending and eventually sites where the ‘financial exception' has been localized. But these demographic shifts, fragmentation and fiscal pressures have at the same time created a suburban political terrain in which the plans have gained their strongest political support.     

EFFECTS OF THE 2011 GREAT EAST JAPAN EARTHQUAKE ON ELECTRICITY LOAD DEMAND: STRUCTURAL CHANGES DURING RECOVERY PERIODS

In response to the Fukushima Daiichi Nuclear Power Plant's severe crisis, the Tokyo Electric Power Company planned rolling blackouts, and the Japanese government encouraged companies and residents to conserve electricity by adopting self‐restriction plans. We examine the structural changes caused by the disaster in Japan and the effects of the power blackouts and self‐restriction plans on the magnitude and pattern of load demand. The results show that the total demand decreased after the disaster and changed from weekdays to weekends and holidays. In addition, the effect of temperature on load demand changed after the disaster.     

Innovation Strategy and Entry Deterrence

We model an incumbent’s decision to pursue radical or incremental innovation when facing a rival entrant. The radical innovation may yield lucrative financial returns but entails significant technological and market‐related uncertainties. It is also particularly attractive to the rival entrant: if the market for it pans out, such an innovation obsoletes the existing technology and any incremental improvements to it. Each firm has its own assessment of the market potential for the radical innovation, and the reliability of these market forecasts can differ. We show that when the entrant’s market‐assessment capability is weak, the incumbent will pursue incremental innovation and postpone its plans to develop radical innovation even when it thinks highly of the market potential for the radical innovation. The incumbent does so to avoid validating the high market potential to the entrant, who may otherwise be encouraged to invest aggressively. The incumbent thus prefers to look “soft” with respect to its innovation strategy in order to discourage entry. Even if its innovation strategy is not observable, we show that an incumbent that assesses the commercial potential for a radical innovation favorably may pursue an incremental path and communicate its plans publicly; this strategy serves to reduce entry by affecting the entrant’s beliefs about the market potential of the innovation. Finally, we extend the model to investigate the entrant’s decision to communicate its innovation intentions. We find that the entrant communicates its plans to aggressively pursue radical innovation only if the incumbent’s market‐assessment capabilities are strong. In doing so, the entrant acts preemptively to discourage the incumbent from pursuing the radical innovation, and is less concerned with validating market potential.     

Structural estimation of behavioral heterogeneity

We develop a behavioral asset pricing model in which agents trade in a market with information friction. Profit‐maximizing agents switch between trading strategies in response to dynamic market conditions. Owing to noisy private information about the fundamental value, the agents form different evaluations about heterogeneous strategies. We exploit a thin set—a small sub‐population—to point identify this nonlinear model, and estimate the structural parameters using extended method of moments. Based on the estimated parameters, the model produces return time series that emulate the moments of the real data. These results are robust across different sample periods and estimation methods.     

Monetary Policy Indeterminacy and Identification Failures in the U.S.: Results from A Robust Test

We propose a novel identification‐robust test for the null hypothesis that an estimated New Keynesian model has a reduced form consistent with the unique stable solution against the alternative of sunspot‐driven multiple equilibria. Our strategy is designed to handle identification failures as well as the misspecification of the relevant propagation mechanisms. We invert a likelihood ratio test for the cross‐equation restrictions (CER) that the New Keynesian system places on its reduced‐form solution under determinacy. If the CER are not rejected, sunspot‐driven expectations can be ruled out from the model equilibrium and we accept the structural model. Otherwise, we move to a second‐step and invert an Anderson and Rubin‐type test for the orthogonality restrictions (OR) implied by the system of structural Euler equations. The hypothesis of indeterminacy and the structural model are accepted if the OR are not rejected. We investigate the finite‐sample performance of the suggested identification‐robust two‐step testing strategy by some Monte Carlo experiments and then apply it to a New Keynesian AD/AS model estimated with actual US data. In spite of some evidence of weak identification as for the ‘Great Moderation’ period, our results offer formal support to the hypothesis of a switch from indeterminacy to a scenario consistent with uniqueness occurring in the late 1970s. Our identification‐robust full‐information confidence set for the structural parameters computed on the ‘Great Moderation’ regime turns out to be more precise than the intervals previously reported in the literature through ‘limited‐information’ methods. Copyright © 2014 John Wiley & Sons, Ltd.     

Partial Structural Break Identification

We propose an extension of the existing information criterion‐based structural break identification approaches. The extended approach helps identify both pure structural change (break) and partial structural change (break). A pure structural change refers to the case when breaks occur simultaneously in all parameters of regression equation, whereas a partial structural change happens when breaks occur in some parameters only. Our approach consistently outperforms other well‐known approaches. We also extend the simulation studies of Bai and Perron ( 2006 and Hall, Osborn and Sakkas ( 2013 ) by including more general cases. This provides more comprehensive results and reveals the cases where the existing identification approaches lose power, which should be kept in mind when applying them.     

Promise and peril in implementing pay‐for‐performance

Why would managers abandon pay‐for‐performance plans they initiated with great hopes? Why would employees celebrate this decision? This article explores why managers made their decisions in 12 of 13 pay‐for‐performance “experiments” at Hewlett‐Packard in the mid‐1990s. We find that managers thought the costs of these programs to be higher than the benefits. Alternative managerial practices such as effective leadership, clear objectives, coaching, or training were thought a better investment. Despite the undisputed instrumentality of pay‐for‐performance to motivate, little attention has been given to whether the benefits outweigh the costs or the “fit” of these programs with high‐commitment cultures like Hewlett‐Packard was at the time. © 2004 Wiley Periodicals, Inc.