The Logic of Term Limits Pledges

This article offers a rationale for candidates who voluntarily pledge to term limits. My analysis is built on a standard political agency model to which I add an election campaign where candidates can commit not to seek a second term. Pledging to term limits allows candidates to signal their private type and insulate themselves from career concerns. By doing so, candidates leverage the fact that the representative voter endogenously prefers to elect a candidate who does not seek reelection because she either has on average more desirable attributes, distorts her decisions to a lesser extent, or both. As a result, candidates who pledge to term limits have a higher probability of being elected in the first place. I characterize the equilibria of a model specification in which politicians differ with respect to their policy preferences and uncover circumstances in which term limits pledges are informative and improve the voter's welfare.

Examining the plausibility of Donald Trump’s denial of responsibility for the 2020 assault on the U. S. Capitol: A dual-agency model of identity leadership and engaged followership

This paper develops a dual-agency model of leadership which treats collective phenomena as a co-production between leaders and followers. The model integrates work on identity leadership and engaged followership derived from the social identity tradition in social psychology. In contrast to binary models in which leaders or followers are seen to have agency, this argues that leaders gain influence by framing the agency of their followers and defining the parameters of their action but leaving space for creativity in how their goals are accomplished. Followers in turn, exhibit their loyalty and attachment to the leader by competing to be most effective in advancing these goals. We illustrate the model by drawing on a range of sources, most notably the events of 6th January 2021 when Donald rump’s exhortations to his supporters that they should ‘fight’ to ‘stop the steal’ of the 2020 election was followed by an attack on the Capitol. We argue that it is Trump’s willing participation in this mutual process of identity enactment, rather than any instructions which may (or may not) have been contained in his speech, that should be the basis for assessing his influence on, and responsibility for, the assault.

A framework for young people with neurodisability who engage in antisocial behaviour: Introducing the PAM-NEXT

<p>In recent times there has been greater recognition of the over representation of young people with neurodisability within youth justice systems worldwide. This poses a problem for practitioners and suggests that current treatments based on addressing dynamic risk factors may be inadequate for addressing the needs of this group. This thesis elucidates these challenges and extends the Predictive Agency Model (PAM; Heffernan & Ward, 2017) into the Predictive Agency Model-Neurodisability Extension (PAM-NEXT). This extension considers how neurodisability can contribute to a maladaptive developmental history for young people which, in some cases, can lead to exposure to dynamic risk factors. The PAM-NEXT provides a framework to consider how these factors can be operationalised within the process of antisocial behaviour for young people with neurodisabilities. The PAM-NEXT is then applied to composite cases of young people who have engaged in antisocial behaviour to demonstrate its utility. Lastly the PAM-NEXT is evaluated and future directions discussed. The PAM-NEXT can provide practitioners options to adequately target treatment for young people with neurodisability who engage in antisocial behaviour.</p>

A framework for young people with neurodisability who engage in antisocial behaviour: Introducing the PAM-NEXT

<p>In recent times there has been greater recognition of the over representation of young people with neurodisability within youth justice systems worldwide. This poses a problem for practitioners and suggests that current treatments based on addressing dynamic risk factors may be inadequate for addressing the needs of this group. This thesis elucidates these challenges and extends the Predictive Agency Model (PAM; Heffernan & Ward, 2017) into the Predictive Agency Model-Neurodisability Extension (PAM-NEXT). This extension considers how neurodisability can contribute to a maladaptive developmental history for young people which, in some cases, can lead to exposure to dynamic risk factors. The PAM-NEXT provides a framework to consider how these factors can be operationalised within the process of antisocial behaviour for young people with neurodisabilities. The PAM-NEXT is then applied to composite cases of young people who have engaged in antisocial behaviour to demonstrate its utility. Lastly the PAM-NEXT is evaluated and future directions discussed. The PAM-NEXT can provide practitioners options to adequately target treatment for young people with neurodisability who engage in antisocial behaviour.</p>

Entrepreneurs’ Exit Strategy Intentions and Their Final Exit Paths

This paper explores entrepreneurs’ initially intended exit strategies and compares them to their final exit paths using an inductive approach that builds on the grounded theory methodology. Our data shows that initially intended and final exit strategies differ among entrepreneurs. Two groups of entrepreneurs emerged from our data. The first group comprises entrepreneurs who financed their firms through equity investors. The second group is made up of entrepreneurs who financed their businesses solely with their own equities. Our data shows that the first group originally intended a financial harvest exit strategy and settled with this harvest exit strategy. The second group initially intended a stewardship exit strategy but did not succeed. We used the theory of planned behavior and the behavioral agency model to analyze our data. By examining our results from these two theoretical perspectives, our study explains how entrepreneurs’ exit intentions lead to their actual exit strategies.

The Behavioral Agency Model and Innovation Investment: Examining the Combined Effects of CEO and Board Ownership

The Behavioral Agency Model (BAM) offers a behavioral account of executive incentives, according to which the perceived threats to CEO wealth, that is, CEO risk bearing, influence a CEO’s propensity to undertake innovation investments. While examining stock options extensively, the extant BAM research devotes relatively scant attention to other forms of incentives, such as stock ownership, that are conducive to one source of risk bearing, that is, employment risk. Furthermore, with an emphasis placed on the CEO, much BAM research neglects the interactive risk preferences of the CEO and the board. This study refines the BAM and empirically explores the countervailing forces exerted by the CEO and board ownership. It elucidates that while CEO ownership exhibits an inverted U-shaped relationship with innovation investment, board ownership weakens that relationship. An exploratory test on a sample of 108 Italian manufacturing firms provides support for the hypothesized effects. The refined BAM sheds further light on executive incentives through a behavioral lens, by elucidating the role of stock ownership and the interactive risk preferences of the CEO and the board.

CEO pay and family firm heterogeneity: A behavioral agency model perspective

We study the effects of family control on CEO pay from the perspective of behavioral agency model (BAM), with particular focus on family firm’s generational stage and CEO family ties. Using a panel of Australian listed firms, we find that family firms present lower total and variable CEO pay, showing also less pay disparity between the CEO and other top executives. We also find that multi-generational family firms and those run by non-family CEOs offer higher total and variable CEO pay and present high pay disparity. The BAM and family’s aversion to socioemotional wealth loss can explain the effects of family control based on the pursuing of non-financial family goals. The decline of these goals derived from the aging of the firm and the hiring of external CEOs shape family control and should be considered in the design of executive compensation policies and by external parties when assessing their suitability. JEL CLASSIFICATION: G30; G32; G34; G38

Development of a Multi-professional and multi-agency Model, PLUSS (mental health, learning, development, collaboration around pre-school children), to Facilitate Early Detection and Support of Pre-School Children with Neurodevelopmental Difficulties in the Swedish Child Health Care – A Description of the Model and Initial Results

Background: Neurodevelopmental difficulties are frequent in preschoolers and constitute a risk for later negative consequences. This article describes the development of a multi-professional and multi-agency model, PLUSS, to facilitate care and interventions for preschoolers with neurodevelopmental difficulties. Methods: The PLUSS-model was developed for children aged 1.5-5 years with a need for a further assessment of neurodevelopmental symptoms. The model is evaluated using a quasi-experimental study design along with qualitative interviews. Outcomes of interest are a) implementation, b) effectiveness related to processes and multi-agency collaboration, c) capacity building among professionals, d) child-related outcomes with a longitudinal follow-up as well as d) parental wellbeing and satisfaction. Results: The model was launched in 2019 and so far, approximately 130 children have been assessed. Results from a pilot study with 62 children (27-72 months; boys: girls 2.65:1) show, using the strengths and difficulties questionnaire (SDQ), that the included children have clinically significant problems. The total mean SDQ score in parental rating was 15 +/- 6 and in preschool teacher ratings 14 +/- 7, exceeding the Swedish cut-off of 12. 54 parents have participated in parental training and rate high levels of satisfaction (mean score 4.5, max 5.0). In addition, 74 pre-school professionals have been trained in early signs of neurodevelopmental difficulties to facilitate early detection. Feedback from these educational activities is encouraging (mean score 4.2, max 5.0). Conclusions: The PLUSS-model enables early detection and interventions for preschool children and their families, without a set diagnosis. The pilot study shows that the screening procedure can detect children with clinically significant problems. In addition, encouraging results have been obtained from both parent- and preschool teacher training. The longitudinal study approach enables both child follow-up and evaluation of interventions provided by the working model. Trial registration: Clinical Trials 2021, PLUSS identifier, NCT04815889. First registration 25/03/2021.