The effect of rankings on honesty in budget reporting

We conduct an experiment to investigate the effect of rankings, which are pervasive in practice, on the honesty of managers’ budget reports, which is important for sound decision making in organizations. Participants in our experiment are ranked in one of four ways: (1) firm profit, (2) own compensation, (3) both firm profit and own compensation, and (4) randomly, which serves as our baseline condition. None of the rankings affect participants’ remuneration. Compared to our baseline (random rankings) setting, where participants indeed exhibit honesty concerns, we find that rankings based on firm profit significantly increase honesty and that rankings based on own compensation significantly decrease honesty. Participants who received both rankings were significantly more honest than participants in the own compensation rankings condition. We did not, however, find significant differences in honesty between the both rankings and firm profit rankings conditions. As such, participants in the both rankings condition seemed to focus more on the firm profit metric than on the financially congruent own compensation metric. We also find that our results are stable across periods, suggesting that the effects of rankings neither increased nor dissipated over time. We discuss the contributions of our study and concomitant findings to accounting research and practice.     

Using input–output models to estimate sectoral effects of carbon tax policy: Applications of the NGFS scenarios

The Network of Central Banks and Supervisors for Greening the Financial System (NGFS) has engaged in scenario analysis that estimates a $200/ton carbon tax would be required to transition to net zero carbon by 2050. Using a $200/ton carbon tax as a base, this paper uses input–output (IO) modeling to generate price and revenue effects of a carbon tax. Results from these models, which can only be interpreted as the short-run, upper-bound effects of the carbon tax policy, imply that in response to a $200/ton tax on CO₂e emissions, carbon-intensive industries, such as agriculture, extraction, transportation, utilities, and chemicals, may experience price increases in the range of 10-30 percent. Other industries will also experience price increases, but to a lesser degree, due to increased input costs associated with the tax. In addition, modeling results also suggest that industries facing elastic pricing regimes may face similar-sized declines in revenues as a consequence of the carbon tax. Rank-ordered impact results from these models can be utilized by bank supervisors and firms to adequately plan for sectoral-level transition risk within their lending and/or investment portfolios.     

Cooperative and noncooperative protection against transferable and filterable externalities

Given self-protection from an undesirable environmental externality, we examine, under several conditions, the efficiency properties of cooperative and noncooperative behavior. We demonstrate that if self-protection can transfer the externality to another agent, then noncooperative behavior will lead to overprotection. If self-protection filters or dilutes the externality, then noncooperation leads to underprotection. In addition, overprotection will worsen if an agent with more relative power is allowed a first-mover advantage or if the damage function is elastic and transferability is uncertain. Finally, a reduction in uncertainty about transferability will accentuate overprotection if the damage function is inelastic. Our results suggest that coordination of protection activities among agents will enhance the overall gains from environmental policy in the European Single Internal Market of 1992. Coordination minimizes the costs of environmental protection, thereby reducing the public credibility of its foes.     

Comparative Urbanism and the ‘Asian City': Implications for Research and Theory

While voices in the comparative urbanism literature call for researchers to approach comparison with more experimental and critical methodologies, there remains no consensus on how to design and realize these studies. This essay examines the implications of comparative urbanism for researching the ‘Asian City'. Given the critique of existing modes of comparison embedded in recent calls for a new comparative urbanism, researchers are faced with a number of pressing questions: How do we approach this ‘regional' topic in a way that both resists categorizing the ‘Asian City' as an exotic ‘other', elevating it onto a mythical pedestal, yet appreciates its differences, localisms and unique ‘cosmopolitan vernacular' (Clifford, 1997; Werbner and Modood, 1997)? This essay thus highlights the multiple challenges of applying the comparative lens to the ‘Asian City', arguing that broader conceptualizations of the ‘Asian City' help to address the dangers in isolating Asian research into its own canon of parochial urban theory and offering a greater diversity of possibilities for justifying case selection in comparative approaches. In doing so, we hope that this essay responds to the comparative turn by illuminating to some extent its inherent complexity and methodological challenges.     

Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies Using Resampling Methods

Good statistical practice dictates that summaries in Monte Carlo studies should always be accompanied by standard errors. Those standard errors are easy to provide for summaries that are sample means over the replications of the Monte Carlo output: for example, bias estimates, power estimates for tests and mean squared error estimates. But often more complex summaries are of interest: medians (often displayed in boxplots), sample variances, ratios of sample variances and non‐normality measures such as skewness and kurtosis. In principle, standard errors for most of these latter summaries may be derived from the Delta Method, but that extra step is often a barrier for standard errors to be provided. Here, we highlight the simplicity of using the jackknife and bootstrap to compute these standard errors, even when the summaries are somewhat complicated. © 2014 The Authors. International Statistical Review © 2014 International Statistical Institute     

The reverse tragedy of the commons: an exploratory account of incentives for under-exploitation in an open innovation environment*

This paper presents an empirical account of a phenomenon that we refer to as the ‘reverse tragedy of the commons’ in open innovation. The name signifies the ‘under-exploitation’ of intellectual property (IP) under weak appropriability. The name is this graphic because the tragedy is costly, and can also render IP effectively worthless and block innovation in the short to medium term. We propose that the tragedy is borne out of the interaction between enterprise characteristics, a competitive setting and the framework that is set by the policy intervention. This finding is pertinent to policy-makers with regard to the design of research, development and innovation instruments, as well as managers who must determine how to implement open practices in innovation.     

Why Did (Almost) No One See the Inflation Coming?

To understand the possible trajectory of inflation in 2022 and beyond, it is helpful to understand why the United States and Europe had so much inflation in 2021.

     

An annual index of Irish industrial production, 1800–1913

We assemble the Irish industrial data currently available for the years 1800–1921, the period during which the entire island was in a political union with Great Britain, and construct an annual index of Irish industrial output for 1800–1913. We also construct a new industrial price index. Irish industrial output grew by an average of 1.3 per cent per annum between 1800 and the outbreak of the First World War. Industrial growth was slightly slower than previously thought, especially during the two decades immediately preceding the Great Famine. While Ireland did not experience absolute deindustrialisation either before the Famine or afterwards, its industrial growth was disappointing when considered in a comparative perspective.     

Social Security Disability Insurance and intergenerational economic mobility

Economic opportunity in the United States is shaped by parental health and disability. We hypothesize that Disability Insurance (DI) may mitigate the observed pattern. Using linked survey and administrative data, we find children of work-limited parents have 4.1 percentiles less upward economic mobility and 4.3 percentiles more downward mobility relative to children of non-limited parents. Despite poorer health, children of parents initially awarded DI experience a negligible mobility gap relative to peers whose parents never apply to DI and 3.6 percentiles more upward mobility than peers of parents who are initially denied benefits—suggesting DI may moderate economic mobility.