Introduction to Econometrics 1st Ed at Meripustak

Introduction to Econometrics 1st Ed

Books from same Author: Wooldridge

Books from same Publisher: Cengage Learning

Related Category: Author List / Publisher List


  • Retail Price: ₹ 8118/- [ 5.00% off ]

    Seller Price: ₹ 7712

Sold By: T K Pandey      Click for Bulk Order

Offer 1: Get ₹ 111 extra discount on minimum ₹ 500 [Use Code: Bharat]

Offer 2: Get 5.00 % + Flat ₹ 100 discount on shopping of ₹ 1500 [Use Code: IND100]

Offer 3: Get 5.00 % + Flat ₹ 300 discount on shopping of ₹ 5000 [Use Code: MPSTK300]

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

Free Shipping Available



Click for International Orders
  • Provide Fastest Delivery

  • 100% Original Guaranteed
  • General Information  
    Author(s)Wooldridge
    PublisherCengage Learning
    ISBN9781408093757
    Pages912
    BindingPaperBack
    LanguageEnglish
    Publish YearDecember 2013

    Description

    Cengage Learning Introduction to Econometrics 1st Ed by Wooldridge

    This title has been adapted for use in Europe, the Middle East and Africa and has been tailored to meet the demands of today's lecturers and students. Jeffrey M. Wooldridge's Introduction to Econometrics shows how econometrics is a useful tool for answering questions in business, policy evaluation and forecasting environments. Packed with timely, relevant applications, the text incorporates close to 100 intriguing data sets, available in six formats, with appendices and questions available online. Unique organization pioneered by the author clearly presents applications for today's students. This comprehensive econometrics text pioneered the approach of explicitly covering cross-sectional applications first, followed by time series applications, and, ultimately, panel data applications in the advanced chapters. Practical application prepares students to use econometrics in business today. This unique, comprehensive text applies econometrics to actual real business problems, demonstrating how each method answers a particular issue facing researchers who are analyzing non-experimental data.