Dell, M. (2024). Deep learning for economists (No. w32768). National Bureau of Economic Research. 安装 强烈建议新建一个虚拟环境以运行codecon库。如果你很熟悉虚拟环境或租借服务器的步骤,可以直接跳过;如果你是初学者,请一定仔细阅读以下使用-环境配置的说明后后再进行安装。 pip install codecon --upgra...
Machine learning specialists are often primarily concerned with developing high-performance computer syste...
【原答案】借用Hansen大神的句式，我猜Machine Learning在经济学中的应用前景大概是：『It allows you to...
Deep learning for economists (No. w32768). National Bureau of Economic Research. Installation It is highly recommended to create a new virtual environment to run the codecon library. If you are familiar with setting up virtual environments or renting servers, you can skip ahead; if you are a...
The goal of this paper is to provide a point of empirical evidence as to how machine-learning techniques stack-up in their ability to predict consumer choi
This study explores how signaling and perceiving jointly influence crowd investors’ decision-making. We utilize five machine learning models to asses
内容简介· ··· This new edited volume consists of a collection of original articles written by leading financial economists and industry experts in the area of machine learning for asset management. The chapters introduce the reader to some of the latest research developments in the area of equ...
Economists have long understood that markets provide insufficient incentives for innovation because of the difficulty of fully appropriating the returns to innovation investments, particularly when new innovations build on older ones1. Similar features inhibit investment in the diversity of innovations2,3, ...
In her essay The Impact of Machine Learning on Economics, Susan Athey states: “Prediction tasks [...] are typically not the problems of greatest interest for empirical research in economics, who instead are concerned with causal inference ” and “economists typically abandon the goal of accurate...
research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping machine learning tools, as well as for statisticians and machine learners seeking interesting financial contexts where advanced methods may be deployed....