4 edition of **Regression and factor analysis applied in econometrics** found in the catalog.

Regression and factor analysis applied in econometrics

J. H. F. Schilderinck

- 190 Want to read
- 40 Currently reading

Published
**1977** by Martinus Nijhoff in Leiden .

Written in English

- Econometrics,
- Regression analysis,
- Factor analysis

**Edition Notes**

Bibliography: p. 236-239.

Statement | J. H. F. Schilderinck. |

Series | Tilburg studies in econometrics ;, v. 1 |

Classifications | |
---|---|

LC Classifications | HB139 .S325 |

The Physical Object | |

Pagination | 239 p. ; |

Number of Pages | 239 |

ID Numbers | |

Open Library | OL4608530M |

ISBN 10 | 9020706640 |

LC Control Number | 77371987 |

Factor analysis is a procedure used to determine the extent to which shared variance (the intercorrelation between measures) exists between variables or items within the item pool for a developing measure. 50 It is a means of determining to what degree individual items are measuring a something in common, such as a factor. 50,51 Factors are. This is the first book on applied econometrics using the R system for statistical computing and graphics. It presents hands-on examples for a wide range of econometric models, from classical linear regression models for cross-section, time series or panel data and the common non-linear models of microeconometrics such as logit, probit and tobit. Unlike static PDF Applied Regression Analysis And Other Multivariable Methods 5th Edition solution manuals or printed answer keys, our experts show you how to solve each problem step-by-step. No need to wait for office hours or assignments to be graded to find out where you took a wrong turn.

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When establishing an econometric model, the two ways of analysis complement each other. Regression and factor analysis applied in econometrics. Leiden: Martinus Nijhoff, (OCoLC) Material Type: Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: J H F Schilderinck.

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This book deals with the methods and practical uses of regression and factor analysis. An exposition is given of ordinary, generalized, two- and three-stage estimates for regression analysis, the method of principal components being applied for factor analysis.

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