Machine learning approaches to testing institutional hypotheses : the case of Acemoglu, Johnson, and Robinson (2001)
Boubacar Diallo
| Year of publication: |
2022
|
|---|---|
| Authors: | Diallo, Boubacar |
| Published in: |
Empirical economics : a quarterly journal of the Institute for Advanced Studies. - Berlin : Springer, ISSN 1435-8921, ZDB-ID 1462176-9. - Vol. 62.2022, 5, p. 2587-2600
|
| Subject: | Economic development | Genetic algorithm | Machine learning | Property rights | Support vector regression | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Regressionsanalyse | Regression analysis | Evolutionärer Algorithmus | Evolutionary algorithm | Sachenrecht | Law of property | Mustererkennung | Pattern recognition |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s00181-021-02110-7 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013197346