Similar Search Results

Prediction, Judgment and Complexity : A Theory of Decision Making and Artificial Intelligence

Agrawal, Ajay K. - 2018

. In this paper, we explore the consequences of improved prediction in decision-making. To do so, we adapt existing models … of decision-making under uncertainty to account for the process of determining payoffs. We label this process of … on whether the improvements in prediction enable automated decision-making. We discuss the implications of improved …

Persistent link: https://www.econbiz.de/10012453471

Technology and Big Data Are Changing Economics : Mining Text to Track Methods

Currie, Janet - 2020

The last 40 years have seen huge innovations in computing technology and data availability. Data derived from millions of administrative records or by using (as we do) new methods of data generation such as text mining are now common. New data often requires new methods, which in turn can...

Persistent link: https://www.econbiz.de/10012479239

Big Data and Firm Dynamics

Farboodi, Maryam - 2019

We study a model where firms accumulate data as a valuable intangible asset. Data accumulation affects firms' dynamics. It increases the skewness of the firm size distribution as large firms generate more data and invest more in active experimentation. On the other hand, small data- savvy firms...

Persistent link: https://www.econbiz.de/10012479471

The Promise and Pitfalls of Conflict Prediction : Evidence from Colombia and Indonesia

Bazzi, Samuel - 2019

Policymakers can take actions to prevent local conflict before it begins, if such violence can be accurately predicted. We examine the two countries with the richest available sub-national data: Colombia and Indonesia. We assemble two decades of fine-grained violence data by type, alongside...

Persistent link: https://www.econbiz.de/10012479929

Combining Family History and Machine Learning to Link Historical Records

Price, Joseph - 2019

A key challenge for research on many questions in the social sciences is that it is difficult to link historical records in a way that allows investigators to observe people at different points in their life or across generations. In this paper, we develop a new approach that relies on millions...

Persistent link: https://www.econbiz.de/10012480171

Prices and Promotions in U.S. Retail Markets : Evidence from Big Data

Hitsch, Günter J. - 2019

We document the degree of price dispersion and the similarities as well as differences in pricing and promotion strategies across stores in the U.S. retail (grocery) industry. Our analysis is based on "big data" that allow us to draw general conclusions based on the prices for close to 50,000...

Persistent link: https://www.econbiz.de/10012480251

Text Selection

Kelly, Bryan T. - 2019

Text data is ultra-high dimensional, which makes machine learning techniques indispensable for textual analysis. Text is often selected--journalists, speechwriters, and others craft messages to target their audiences' limited attention. We develop an economically motivated high dimensional...

Persistent link: https://www.econbiz.de/10012480461

Market Efficiency in the Age of Big Data

Martin, Ian - 2019

Modern investors face a high-dimensional prediction problem: thousands of observable variables are potentially relevant for forecasting. We reassess the conventional wisdom on market efficiency in light of this fact. In our model economy, which resembles a typical machine learning setting, N...

Persistent link: https://www.econbiz.de/10012480530

Belief Distortions and Macroeconomic Fluctuations

Bianchi, Francesco - 2020

This paper combines a data rich environment with a machine learning algorithm to provide new estimates of time-varying systematic expectational errors ("belief distortions") embedded in survey responses. We find that distortions are large on average even for professional forecasters, with all...

Persistent link: https://www.econbiz.de/10012481601

FRED-QD : A Quarterly Database for Macroeconomic Research

McCracken, Michael - 2020

In this paper we present and describe a large quarterly frequency, macroeconomic database. The data provided are closely modeled to that used in Stock and Watson (2012a). As in our previous work on FRED-MD, our goal is simply to provide a publicly available source of macroeconomic "big data"...

Persistent link: https://www.econbiz.de/10012482052

1
2
3
4
5
6
7
8
9
10
Next
Last