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    Cover of Econometrics

    Econometrics

    Fumio Hayashi · 2000

    "Hayashi's Econometrics introduces first-year Ph.D. students to standard graduate econometrics material from a modern perspective. It covers all the standard material necessary for understanding the principal techniques of econometrics from ordinary least squares through cointegration. The book is also distinctive in developing both time-series and cross-section analysis fully, giving the reader a unified framework for understanding and integrating results."--BOOK JACKET.

    Data & StatisticsEconomics & Finance
    Open LibraryAmazon
    Stats for nerds
    2recommend
    2mentions
    2people
    2009–2021years
    100% recommend

    Mentions per year

    2009201120132015201720192021

    What Hacker News says

    1. darawkJun 2021
      Attempting to self study statistics and econometrics in a serious way. I just finished Casella and Berger's "Statistical Inference". I'm about halfway through Shumway and Stoffer's "Time Series Analysis", but then next on the list, in the order I tend to read them:

        - Theory of Point Estimation Casella/Lehmann
      
        - Bayesian Data Analysis 3rd ed.
      
        - Convex Optimization - Boyd
      
        - Econometrics - Hayashi
      
        - New Introduction to Multiple Time Series Analysis
      
        - Elements of Statistical Learning
      
        - Machine Learning: A probabilistic perspective
      
      There's a fair amount of overlap between these books, so it's not quite as much as it seems. But i'm hoping to make it through at least a chapter a week this year, which should get me most of the way through them. We'll see how it goes.
      thread
    2. stanleydrewAug 2009
      I highly recommend Hayashi's book on Econometrics. It's what we used in the first year of my PhD program in Economics. But it's probably worth starting with a basic probability and statistics book, preferably one that's pretty mathematical. I've used Hogg McKean and Craig's Introduction to Mathematical Statistics and it's really good.
      thread

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