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  <title>EconStor Community:</title>
  <link rel="alternate" href="https://hdl.handle.net/10419/50563" />
  <subtitle />
  <id>https://hdl.handle.net/10419/50563</id>
  <updated>2026-04-28T15:29:35Z</updated>
  <dc:date>2026-04-28T15:29:35Z</dc:date>
  <entry>
    <title>Conflict, economic activities and the internet: Disentangling the (world wide) web</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/339512" />
    <author>
      <name>Adhya, Kaustabh</name>
    </author>
    <id>https://hdl.handle.net/10419/339512</id>
    <updated>2026-04-04T08:41:03Z</updated>
    <published>2026-01-01T00:00:00Z</published>
    <summary type="text">Title: Conflict, economic activities and the internet: Disentangling the (world wide) web
Authors: Adhya, Kaustabh
Abstract: Information shapes people's narratives and, thus, collective action. The latter bears implications for both inter-group economic cooperation and conflict literature. In this paper, we examine the economic effects of ethnic conflicts under varying information levels as proxied by mobile Internet speeds. Our analysis of India from 2019 to 2023 yields that religious riots reduce night-time lights by 19.61% in the following year and mobile Internet speed amplifies the negative effects by approximately 1.2 - 5.1 percentage points. We posit that the mechanism is through spiteful narratives that are amplified by the faster Internet. The findings are robust to a battery of alternative specifications and tests.</summary>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Measuring productivity in networks: A game-theoretic approach</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/284198" />
    <author>
      <name>Allouch, Nizar</name>
    </author>
    <author>
      <name>Guardiola, Luis A.</name>
    </author>
    <author>
      <name>Meca, Ana</name>
    </author>
    <id>https://hdl.handle.net/10419/284198</id>
    <updated>2024-03-02T02:04:03Z</updated>
    <published>2023-01-01T00:00:00Z</published>
    <summary type="text">Title: Measuring productivity in networks: A game-theoretic approach
Authors: Allouch, Nizar; Guardiola, Luis A.; Meca, Ana
Abstract: Measuring individual productivity (or equivalently distributing the overall productivity) in a network structure of workers displaying peer effects has been a subject of ongoing interest in many areas ranging from academia to industry. In this paper, we propose a novel approach based on cooperative game theory that takes into account the peer effects of worker productivity represented by a complete bipartite network of interactions. More specifically, we construct a series of cooperative games where the characteristic function of each coalition of workers is equal to the sum of each worker intrinsic productivity as well as the productivity of other workers within a distance discounted by an attenuation factor. We show that these (truncated) games are balanced and converge to a balanced game when the distance of influence grows large. We then provide an explicit formula for the Shapley value and propose an alternative coalitionally stable distribution of productivity which is computationally much more tractable than the Shapley value. Lastly, we characterize this alternative distribution based on three sensible properties of a logistic network. This analysis enhances our understanding of game-theoretic analysis within logistics networks, offering valuable insights into the peer effects' impact when assessing the overall productivity and its distribution among workers.</summary>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Routine-biased technical change, structure of employment, and cross-country income differences</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/284197" />
    <author>
      <name>Pena, Werner</name>
    </author>
    <author>
      <name>Siegel, Christian</name>
    </author>
    <id>https://hdl.handle.net/10419/284197</id>
    <updated>2024-03-02T02:34:28Z</updated>
    <published>2023-01-01T00:00:00Z</published>
    <summary type="text">Title: Routine-biased technical change, structure of employment, and cross-country income differences
Authors: Pena, Werner; Siegel, Christian
Abstract: We investigate links between routine-biased technical change, the structure of occupational employment, and cross-country income differences. To implement this, we combine several data sources including national labour force surveys and Penn World Tables. We first document that in our novel dataset spanning 92 countries there is a negative relationship between the employment share of routine occupations and GDP per hour worked. We then conduct a development accounting exercise where we differentiate labour inputs by occupation and allow for occupationspecific technologies. We find a systematic relationship between occupation-specific technologies and GDP per hour worked. More developed economies use technologies that are more routine-biased. The productivity of routine labour is about 11 times higher in the top 25 percent than in the bottom 25 percent of countries ranked by GDP per hour worked. International differences in this routine labour technology by themselves account for about 13 percent of the 90-10 ratio of GDP per hour worked, whereas differences in abstract labour technology do not contribute to the observed GDP dispersion. Eliminating all occupations' and capital's technology differences across the world would compress the GDP distribution by 35 to 41 percent.</summary>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>(Endogenous) growth slowdowns</title>
    <link rel="alternate" href="https://hdl.handle.net/10419/284199" />
    <author>
      <name>León-Ledesma, Miguel A.</name>
    </author>
    <author>
      <name>Shibayama, Katsuyuki</name>
    </author>
    <id>https://hdl.handle.net/10419/284199</id>
    <updated>2024-03-02T02:07:05Z</updated>
    <published>2023-01-01T00:00:00Z</published>
    <summary type="text">Title: (Endogenous) growth slowdowns
Authors: León-Ledesma, Miguel A.; Shibayama, Katsuyuki
Abstract: We develop a model where temporary non-technology shocks can lead to permanent changes in the rate of growth of total factor productivity (TFP). The key ingredient of the model is a matching processes between basic researchers, product developers, and the stock of knowledge of the economy. In this context, search externalities generate vicious and virtuous cycles in R&amp;D. The model has a unique equilibrium path but multiple balanced growth paths (BGPs) with different growth rates. After a deep or long-lived shock, the economy can transit between these BGPs, generating "super-hysteresis" in TFP. We calibrate the model in the context of the Japanese growth slowdown and show that, quantitatively, it can explain well the TFP growth decline after the financial crisis in the 1990s. The simultaneous occurrence of demographic shocks and a persistent but temporary financial crisis gave rise to a "wretched coincidence" resulting in the growth slowdown.</summary>
    <dc:date>2023-01-01T00:00:00Z</dc:date>
  </entry>
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