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

Principal Investigator(s):  View help for Principal Investigator(s) Janet Currie, Princeton University; Henrik Kleven, Princeton University; Esmée Zwiers, Princeton University

Version:  View help for Version V1

Name File Type Size Last Modified
  Data 08/31/2020 04:32:PM
  do 08/31/2020 04:32:PM
  python 08/31/2020 04:33:PM
README.pdf application/pdf 115.9 KB 08/31/2020 12:30:PM

Project Citation: 

Currie, Janet, Kleven, Henrik , and Zwiers, Esmée. Data and Code for Technology and Big Data Are Changing Economics: Mining Text to Track Methods. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-09-16. https://doi.org/10.3886/E120827V1

Project Description

Summary:  View help for Summary The last 40 years have seen huge innovations in computing and in the availability of data. 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 inspire new data collection. If history is any guide, some methods will stick and others will prove to be a flash in the pan. However, the larger trends toward demanding greater credibility and transparency from researchers in applied economics and a 'collage' approach to assembling evidence will likely continue.

Scope of Project

Subject Terms:  View help for Subject Terms text mining; empirical methods; credibility revolution; big data; applied microeconomics
JEL Classification:  View help for JEL Classification
      C55 Large Data Sets: Modeling and Analysis
      C80 Data Collection and Data Estimation Methodology; Computer Programs: General


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V1 [2020-09-16]

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