Principles of Capital

Chunlei Tang ()

Chapter Chapter 2 in Data Capital, 2021, pp 35-62 from Springer

Abstract: Abstract This chapter aims to clarify economic thoughts related to capital, and then to expand their research activities through data science approaches. The research focuses include: (1) applying predictive analytics to Irving Fisher’s theory of income and capital, (2) exploring possible event classification in Thomas Piketty’s conclusion of capital and inequality, (3) introducing to feature selection for Jonathan Haskel and Stian Westlake’s capital accounting, and (4) solving pattern mining problems related to Pierre Bourdieu’s claims on capital and power. By taking hospital ranking as an example, additionally, a data-driven paradigm on the capitalization of intangibles is provided.

Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-60192-8_2

Ordering information: This item can be ordered from
http://www.springer.com/9783030601928

DOI: 10.1007/978-3-030-60192-8_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().