4 edition of **Economic statistics and econometrics** found in the catalog.

Economic statistics and econometrics

Kane, Edward J.

- 400 Want to read
- 15 Currently reading

Published
**1968**
by Harper & Row in New York
.

Written in English

- Statistics.,
- Econometrics.

**Edition Notes**

Includes bibliographies.

Statement | [by] Edward J. Kane. |

Classifications | |
---|---|

LC Classifications | HA29 .K3185 |

The Physical Object | |

Pagination | xvi, 437 p. |

Number of Pages | 437 |

ID Numbers | |

Open Library | OL5605773M |

LC Control Number | 68012926 |

“Economic development is something much wider and deeper than economics, let alone econometrics. Its roots lie outside the economic sphere, in education, organisation, discipline and, beyond that, in political independence and a national consciousness of self-reliance.”. economic and –nancial data in the –rst year, statistics in the second year, and econometrics in the third year. Use the index in the text book to –nd the topics covered in this course. These notes cross-reference introductory statistics to Barrow () and the econometrics and more advanced statistics to Verbeek (). This is one of the.

Financial Econometrics Set against a backdrop of rapid expansions of interest in the modelling and analysis of ﬁnancial data and the problems to which they are applied, this textbook, now in its Author: Peijie Wang. On these pages you will find Springer’s books and eBooks in the area, serving researchers, professionals, lecturers and students. Moreover, we publish.

Jan 02, · Financial econometrics is a quest for models that describe financial time series such as prices, returns, interest rates, and exchange rates. In Financial Econometrics, readers will be introduced to this growing discipline and the concepts and theories associated with it, including background material on probability theory and statistics. Econometrics and statistics are concerned with the combination of economic, mathematical, and computer techniques in the analysis of economic and business problems such as forecasting, demand and cost analyses, model-building, analysis of big data and testing empirical implications of theories.

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