Write a R script for Statistic Analyses

(10min work for 25 USD)

In the AER library there is a dataset called "CreditCard": Cross-section data on the credit history for

a sample of applicants for a type of credit card. This data contains 1319 observations on 12 variables

Use this dataset to analyse the determinants of the success of a credit card application. Which model:

LPM, probit or logit would you choose and why? Compare the models in terms of the share of correct

predictions. In addition, use this dataset to analyse the determinants of the average monthly credit

card expenditures.

Skills: R Programming Language, Statistical Analysis, Statistics

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About the Employer:
( 0 reviews ) Baden-Baden, Germany

Project ID: #19327082

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hi, I have done similar type of task for my previous employer, so I can help you. let's have a chat to discuss more. thanks sayan

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