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  <title>STORRE Collection: Electronic copies of Management, Work and Organisation journal articles.</title>
  <link rel="alternate" href="http://hdl.handle.net/1893/215" />
  <subtitle>Electronic copies of Management, Work and Organisation journal articles.</subtitle>
  <id>http://hdl.handle.net/1893/215</id>
  <updated>2026-10-08T09:36:52Z</updated>
  <dc:date>2026-10-08T09:36:52Z</dc:date>
  <entry>
    <title>Do Professionals Choke in the Face of Pressure and Distraction?</title>
    <link rel="alternate" href="http://hdl.handle.net/1893/38377" />
    <author>
      <name>Butler, David</name>
    </author>
    <author>
      <name>Butler, Robert</name>
    </author>
    <author>
      <name>Singleton, Carl</name>
    </author>
    <id>http://hdl.handle.net/1893/38377</id>
    <updated>2026-10-07T00:15:05Z</updated>
    <published>2026-12-01T00:00:00Z</published>
    <summary type="text">Title: Do Professionals Choke in the Face of Pressure and Distraction?
Author(s): Butler, David; Butler, Robert; Singleton, Carl
Abstract: We ask whether facing partisan audiences affects the execution of a skilled task. Our setting is penalty shootouts in the high-stakes environment of elite professional football (soccer). In this context, performers take penalties under intense pressure, while facing a subset of the crowd behind the goal who attempt to distract them through visual and auditory tactics. Using data on 1,322 penalties taken in the later rounds of major English cup competitions from 1992 to 2026, we find no evidence that having supportive allied spectators behind the goal provides a strategic advantage. This implies that elite professionals in this domain can effectively screen out crowd-induced distractions when performing under extreme stress.</summary>
    <dc:date>2026-12-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Inference in downstream analysis using individual-level posterior means from mixed logit models</title>
    <link rel="alternate" href="http://hdl.handle.net/1893/38320" />
    <author>
      <name>Campbell, Danny</name>
    </author>
    <author>
      <name>Sandorf, Erlend Dancke</name>
    </author>
    <author>
      <name>Börger, Tobias</name>
    </author>
    <author>
      <name>Dekker, Thijs</name>
    </author>
    <id>http://hdl.handle.net/1893/38320</id>
    <updated>2026-09-18T00:25:17Z</updated>
    <published>2026-09-01T00:00:00Z</published>
    <summary type="text">Title: Inference in downstream analysis using individual-level posterior means from mixed logit models
Author(s): Campbell, Danny; Sandorf, Erlend Dancke; Börger, Tobias; Dekker, Thijs
Abstract: Mixed logit models are widely used to recover individual-level preferences for secondary analysis, yet both first-stage sampling uncertainty and variability in conditional distributions are often overlooked. This technical note illustrates the implications of ignoring these sources of uncertainty and provides reproducible R code, compatible with the apollo package, to better approximate the empirical sampling distribution and improve the reliability of second-stage inference.</summary>
    <dc:date>2026-09-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Exploring age and income distribution effects for willingness-to-pay to plant climate forests in Norway</title>
    <link rel="alternate" href="http://hdl.handle.net/1893/38279" />
    <author>
      <name>Campbell, Danny</name>
    </author>
    <author>
      <name>Lindhjem, Henrik</name>
    </author>
    <author>
      <name>Grimsrud, Kristine M</name>
    </author>
    <author>
      <name>Sandorf, Erlend D</name>
    </author>
    <id>http://hdl.handle.net/1893/38279</id>
    <updated>2026-09-07T14:16:16Z</updated>
    <published>2026-05-29T00:00:00Z</published>
    <summary type="text">Title: Exploring age and income distribution effects for willingness-to-pay to plant climate forests in Norway
Author(s): Campbell, Danny; Lindhjem, Henrik; Grimsrud, Kristine M; Sandorf, Erlend D
Abstract: There has been an increasing interest in investigating the distributional impacts of climate policies. In the present paper, we are specifically interested in understanding how people’s preferences and priorities for a carbon sequestration programme in Norway differ across age and income distributions. We develop and use local conditional logit models with kernel smoothing to accommodate observed preference heterogeneity within a semi-parametric econometric framework. This framework allows us to capture non-linear preference heterogeneity without making additional assumptions about the pattern or distribution of preferences. This represents a parsimonious way to uncover observed preference heterogeneity in the presence of categorical variables with many categories. The findings reveal that age is a key driver – while younger individuals are more likely to choose the status quo, they assign relatively higher values to mitigation policy attributes as a share of their income, which suggests that those who will receive the benefits of the programme are willing to pay relatively more. We discuss the implications of the results for policy.</summary>
    <dc:date>2026-05-29T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Unequal Hiring Wages and Their Impact on the Gender Pay Gap</title>
    <link rel="alternate" href="http://hdl.handle.net/1893/38254" />
    <author>
      <name>Pham, Tho</name>
    </author>
    <author>
      <name>Schaefer, Daniel</name>
    </author>
    <author>
      <name>Singleton, Carl</name>
    </author>
    <id>http://hdl.handle.net/1893/38254</id>
    <updated>2026-08-27T00:01:28Z</updated>
    <published>2026-08-25T00:00:00Z</published>
    <summary type="text">Title: Unequal Hiring Wages and Their Impact on the Gender Pay Gap
Author(s): Pham, Tho; Schaefer, Daniel; Singleton, Carl
Abstract: Payroll data from Great Britain reveal that men are paid more than women upon entry into firms. Although this hiring wage gap has narrowed over the past two decades, it still accounts for over two-thirds of the steady-state gender pay gap-the wage gap that would eventually prevail under constant employment levels. A significant part of this hiring wage gap is not explained by men and women working in different firms and occupations. Even when hiring men and women into the same job, there remains an unexplained hiring wage gap that favours men by 2.4 log points.</summary>
    <dc:date>2026-08-25T00:00:00Z</dc:date>
  </entry>
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