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This paper introduces a framework to study innovation in a strategic setting, in which innovators allocate their resources between exploration and exploitation in continuous time. Exploration creates public knowledge, while exploitation…

Theoretical Economics · Economics 2023-12-14 Shangen Li

This paper is based on the premise that economic growth is driven by an interplay between innovation and imitation in an economy composed of interacting firms operating in a stochastic environment. A novel approach to modeling imitation is…

Pattern Formation and Solitons · Physics 2019-08-15 Olivier Gallay , Max-Olivier Hongler , Fariba Hashemi

Motivated by equilibrium models of labor markets, we develop a formulation of causal strategic classification in which strategic agents can directly manipulate their outcomes. As an application, we compare employers that anticipate the…

Machine Learning · Statistics 2024-04-23 Seamus Somerstep , Yuekai Sun , Ya'acov Ritov

In economic literature, economic complexity is typically approximated on the basis of an economy's gross export structure. However, in times of ever increasingly integrated global value chains, gross exports may convey an inaccurate image…

General Economics · Economics 2020-12-11 Philipp Koch

Economic complexity measures aim to quantify the capability content or endowment of industries and territories; however, capabilities are not observable, and therefore cannot be directly used in the computations. We estimate such endowments…

General Economics · Economics 2025-07-09 Antonio Russo , Pasquale Scaramozzino , Andrea Zaccaria

There is no doubt that management practices are linked to the productivity and performance of a company. However, research findings are mixed. This paper provides a multi-disciplinary review of the current evidence of such a relationship…

We study the revenue-maximizing mechanism when a buyer's value evolves endogenously because of learning-by-consuming. A seller sells one unit of a divisible good, while the buyer relies on his private, rough valuation to choose his…

Theoretical Economics · Economics 2022-09-07 Huiyi Guo , Wei He , Bin Liu

Differential replication through copying refers to the process of replicating the decision behavior of a machine learning model using another model that possesses enhanced features and attributes. This process is relevant when external…

Machine Learning · Computer Science 2023-02-08 Nahuel Statuto , Irene Unceta , Jordi Nin , Oriol Pujol

In a variety of business situations, the introduction or improvement of machine learning approaches is impaired as these cannot draw on existing analytical models. However, in many cases similar problems may have already been solved…

Machine Learning · Computer Science 2020-05-22 Robin Hirt , Niklas Kühl , Yusuf Peker , Gerhard Satzger

The dynamics of collaboration networks of firms follow a life-cycle of growth and decline. That does not imply they also become less resilient. Instead, declining collaboration networks may still have the ability to mitigate shocks from…

Physics and Society · Physics 2021-02-24 Frank Schweitzer , Giona Casiraghi , Mario V. Tomasello , David Garcia

We study spillover effects in corporate toxic emissions using a heterogeneous panel network of U.S. industrial facilities from 2000-2023. Rather than imposing a network structure a priori, we uncover an unobserved web of influence directly…

General Economics · Economics 2026-02-26 Stylianos Asimakopoulos , George Kapetanios , Vasilis Sarafidis , Alexia Ventouri

An online labor platform faces an online learning problem in matching workers with jobs and using the performance on these jobs to create better future matches. This learning problem is complicated by the rise of complex tasks on these…

Machine Learning · Computer Science 2018-10-16 Ramesh Johari , Vijay Kamble , Anilesh K. Krishnaswamy , Hannah Li

Strong local clusters help firms compete on global markets. One explanation for this is that firms benefit from locating close to their suppliers and customers. However, the emergence of global supply chains shows that physical proximity is…

Physics and Society · Physics 2024-05-14 Sándor Juhász , Zoltán Elekes , Virág Ilyés , Frank Neffke

Within the last two decades, Foreign Direct Investment (FDI) has been observed as one of the prime instruments in the process of restructuring the European economies in transition. Many scholars argue that FDI is expected to be a source of…

General Finance · Quantitative Finance 2013-10-07 Olivera Kostoska , Pece Mitrevski

Intra-firm trade describes the trade between affiliated firms and is increasingly important as global production is fragmented. However, statistics and data on global intra-firm trade patterns are widely unavailable. This study proposes a…

General Economics · Economics 2023-08-24 Matthew Smith , Yasaman Sarabi

We propose a method to measure the effectiveness of the recruitment and turnover of professors, in terms of their research performance. The method presented is applied to the case of Italian universities over the period 2008-2012. The work…

Digital Libraries · Computer Science 2018-10-31 Giovanni Abramo , Ciriaco Andrea D'Angelo , Francesco Rosati

How much knowledge is there in an economy? In recent years, data on the mix of products that countries export has been used to construct measures of economic complexity that estimate the knowledge available in an economy and predict future…

Economics · Quantitative Finance 2017-07-26 Saleh Albeaik , Mary Kaltenberg , Mansour Alsaleh , Cesar A. Hidalgo

I study the role of industries' position in supply chains in shaping the transmission of final demand shocks. First, I use a novel shift-share design leveraging destination-specific final demand shocks and a new measure of destination…

General Economics · Economics 2025-04-08 Alessandro Ferrari

Organisations often struggle to identify the causes of change in metrics such as product quality and delivery duration. This task becomes increasingly challenging when the cause lies outside of company borders in multi-echelon supply chains…

Machine Learning · Computer Science 2024-08-19 Stefan Schoepf , Jack Foster , Alexandra Brintrup

Analysing and improving productivity has been one of the main goals of software engineering research since its beginnings. A plethora of studies has been conducted on various factors that resulted in several models for analysis and…

Software Engineering · Computer Science 2018-01-22 Stefan Wagner , Melanie Ruhe
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