Name: Econometrics Volume 2: Topics for Time Series and Large Panel Data (en Inglés)
SKU: 64516252
Price: 3517.78 MXN
Availability: InStock
Author: Pierre Perron
ISBN: 9789819810901

portada Econometrics Volume 2: Topics for Time Series and Large Panel Data (en Inglés)

Econometrics Volume 2: Topics for Time Series and Large Panel Data (en Inglés)

Formato

Libro Físico

Editorial

World Scientific Publishing Company

Autor

Pierre Perron

Idioma

Inglés

N° páginas

700

Encuadernación

Tapa Dura

ISBN13

9789819810901

Econometrics Volume 2: Topics for Time Series and Large Panel Data (en Inglés)

Pierre Perron (Autor) · World Scientific Publishing Company · Tapa Dura

Libro Nuevo Importado

Envío: 13 a 20 días háb.

$ 6,395.97$ 3,517.78

-45%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Última Unidad

$ 3,517.78

¡Envío Gratis! Llega entre el 25 Sep y el 07 Oct a CUAUHTÉMOC, Ciudad de México. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Econometrics Volume 2: Topics for Time Series and Large Panel Data (en Inglés)"

This book is intended for graduate instruction in subjects like econometrics, economics, environmental science, social science and many other fields, at the Masters or PhD levels. It can be used as a textbook or as a reference guide. Several aspects in the book depart from traditional treatments. The emphasis is on understanding the main issues, concepts and methods in Econometrics, how to implement them and how to interpret the results. The mathematical aspects are kept to a minimum as the aim is to provide an intuitive understanding of how various parts fit together, as opposed to a sophisticated mathematical treatment of the subject. Many examples and discussions are provided. Hence, minimal mathematical pre-requisites are needed. Extensive references are also provided to dig deeper into the mathematical aspects of the theories. The second volume deals with various estimation and inference methods applicable when using time series data or with panel data having a large time-dimension. The treatment covers both stationary and non-stationary (i.e., unit root) data as well as long-memory processes. Also covered extensively are issues related to structural change including estimation and inference methods with stationary and/or non-stationary data, related issues in the context of forecasting and methods to address the interplay between changes in trends and unit roots.