Joshua S Gans
Biographic Data
| ID | 1101416 |
|---|---|
| NAME | Joshua S Gans |
| GIVEN NAMES | Joshua S |
| FAMILY NAME | Gans |
| SIGNATURE | GANS J S |
| AFFILIATIONS | The University of Melbourne |
| ORCID | 0000-0001-6567-5859 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 40 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1994 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Self-regulating artificial general intelligence
Artificial intelligence adoption in a competitive market
Economists have often viewed the adoption of artificial intelligence (AI) as a standard process innovation where we expect that efficiency will drive adoption in competitive markets. This paper models AI based on recent advances in machine learning that allow firms to engage in better prediction. Focusing on prediction of demand, it is demonstrated that AI adoption is a complement to variable inputs whose levels are altered directly by prediction…
Innovation + Equality
How to get more innovation and more equality. Is economic inequality the price we pay for innovation? The amazing technological advances of the last two decades—in such areas as artificial intelligence, genetics, and materials—have benefited society collectively and rewarded innovators handsomely: we get cool smartphones and technology moguls become billionaires. This contributes to a growing wealth gap; in the United States; the wealth controlle…
Artificial Intelligence
Recent advances in artificial intelligence are primarily driven by machine learning, a prediction technology. Prediction is useful because it is an input into decision-making. In order to appreciate the impact of artificial intelligence on jobs, it is important to understand the relative roles of prediction and decision tasks. We describe and provide examples of how artificial intelligence will affect labor, emphasizing differences between when t…
Minding the shop
Darth Vader and the Holdup Problem
A Technological and Organisational Explanation for the Size Distribution of Firms
First‐Author Conditions
This paper provides a theoretical explanation for the persistent use of alphabetical name ordering on academic papers in economics. In a context in which market participants are interested in evaluating the relative individual contribution of authors, it is an equilibrium for papers to use alphabetical ordering. Moreover, it is never an equilibrium for authors always to be listed in order of relative contribution. In fact, we show via an example …
Driving the Hard Bargain for Australian R&D
This article evaluates the long-standing argument that Australian R&D levels are low because of the restrictions imposed by scale economies in production. In so doing, it is assumed that there are no intrinsic advantages or disadvantages to the integration of research and production activities within a single firm. The rents that Australian firms could accrue by selling innovations to overseas firms with production capabilities are then determine…
Urban Productivity and Factor Growth in the Late Nineteenth Century
PRODUCTIVITY;URBAN AREAS;INDUSTRIAL LOCATION
Inside the Black Box
The containerisation revolution, despite being centered on a relatively simple technology, did not take over the cargo shipping industry until the 1960s. This paper argues that the timing of its introduction was determined by organisational as opposed to technological factors. This argument is developed by looking at the events leading up to the introduction of containers into cargo shipping. The rapid spread of containers and the role of standar…
Best replies and adaptive learning
How Are the Mighty Fallen
The authors asked the world's leading economists to describe instances in which journals rejected their articles. More than sixty essays, by a broadly diverse group that includes fifteen Nobel Prize winners, indicate that most have suffered publication rejection, often frequently. Indeed, journals have rejected many papers that later became classics. The authors discuss the prize-winners' experiences, other notable cases, and rejections by John M…
How Are the Mighty Fallen
The authors asked the world's leading economists to describe instances in which journals rejected their articles. More than sixty essays, by a broadly diverse group that includes fifteen Nobel Prize winners, indicate that most have suffered publication rejection, often frequently. Indeed, journals have rejected many papers that later became classics. The authors discuss the prize-winners' experiences, other notable cases, and rejections by John M…
Artificial Intelligence
Recent advances in artificial intelligence are primarily driven by machine learning, a prediction technology. Prediction is useful because it is an input into decision-making. In order to appreciate the impact of artificial intelligence on jobs, it is important to understand the relative roles of prediction and decision tasks. We describe and provide examples of how artificial intelligence will affect labor, emphasizing differences between when t…
First‐Author Conditions
This paper provides a theoretical explanation for the persistent use of alphabetical name ordering on academic papers in economics. In a context in which market participants are interested in evaluating the relative individual contribution of authors, it is an equilibrium for papers to use alphabetical ordering. Moreover, it is never an equilibrium for authors always to be listed in order of relative contribution. In fact, we show via an example …
Urban Productivity and Factor Growth in the Late Nineteenth Century
PRODUCTIVITY;URBAN AREAS;INDUSTRIAL LOCATION
Minding the shop
How Are the Mighty Fallen
The authors asked the world's leading economists to describe instances in which journals rejected their articles. More than sixty essays, by a broadly diverse group that includes fifteen Nobel Prize winners, indicate that most have suffered publication rejection, often frequently. Indeed, journals have rejected many papers that later became classics. The authors discuss the prize-winners' experiences, other notable cases, and rejections by John M…
Inside the Black Box
The containerisation revolution, despite being centered on a relatively simple technology, did not take over the cargo shipping industry until the 1960s. This paper argues that the timing of its introduction was determined by organisational as opposed to technological factors. This argument is developed by looking at the events leading up to the introduction of containers into cargo shipping. The rapid spread of containers and the role of standar…
Best replies and adaptive learning
Urban Productivity and Factor Growth in the Late Nineteenth Century
PRODUCTIVITY;URBAN AREAS;INDUSTRIAL LOCATION
Driving the Hard Bargain for Australian R&D
This article evaluates the long-standing argument that Australian R&D levels are low because of the restrictions imposed by scale economies in production. In so doing, it is assumed that there are no intrinsic advantages or disadvantages to the integration of research and production activities within a single firm. The rents that Australian firms could accrue by selling innovations to overseas firms with production capabilities are then determine…
First‐Author Conditions
This paper provides a theoretical explanation for the persistent use of alphabetical name ordering on academic papers in economics. In a context in which market participants are interested in evaluating the relative individual contribution of authors, it is an equilibrium for papers to use alphabetical ordering. Moreover, it is never an equilibrium for authors always to be listed in order of relative contribution. In fact, we show via an example …
A Technological and Organisational Explanation for the Size Distribution of Firms
Darth Vader and the Holdup Problem
Minding the shop
Innovation + Equality
How to get more innovation and more equality. Is economic inequality the price we pay for innovation? The amazing technological advances of the last two decades—in such areas as artificial intelligence, genetics, and materials—have benefited society collectively and rewarded innovators handsomely: we get cool smartphones and technology moguls become billionaires. This contributes to a growing wealth gap; in the United States; the wealth controlle…
Artificial Intelligence
Recent advances in artificial intelligence are primarily driven by machine learning, a prediction technology. Prediction is useful because it is an input into decision-making. In order to appreciate the impact of artificial intelligence on jobs, it is important to understand the relative roles of prediction and decision tasks. We describe and provide examples of how artificial intelligence will affect labor, emphasizing differences between when t…
Artificial intelligence adoption in a competitive market
Economists have often viewed the adoption of artificial intelligence (AI) as a standard process innovation where we expect that efficiency will drive adoption in competitive markets. This paper models AI based on recent advances in machine learning that allow firms to engage in better prediction. Focusing on prediction of demand, it is demonstrated that AI adoption is a complement to variable inputs whose levels are altered directly by prediction…
Self-regulating artificial general intelligence
Computer Science (9 works) · Economics (8 works) · Microeconomics (5 works) · Industrial organization (4 works) · Mathematics (4 works) · Artificial Intelligence (3 works) · Business (3 works) · Epistemology (3 works) · Externality (3 works) · Argument (complex analysis (2 works)