A blog by Rob J Hyndman 

Twitter Gplus RSS

Ten rules for data analysis

Published on 15 March 2011

Peter Kennedy was an asso­ciate edi­tor of the Inter­na­tional Jour­nal of Fore­cast­ing and a superb applied econo­me­tri­cian. He died unex­pect­edly in August 2010. He was best known for his excel­lent book A Guide to Econo­met­rics as well as his “Ten Com­mand­ments of Applied Econo­met­rics”. He pro­vided a vari­a­tion on his ten com­mand­ments in advice to his stu­dents in the form of the fol­low­ing ten rules:

  1. Use com­mon sense (and eco­nomic theory)
  2. Avoid Type III errors (pro­vid­ing the right answer to the wrong question)
  3. Know the context
  4. Inspect the data
  5. KISS (Keep It Sen­si­bly Simple)
  6. Make sure your results make sense
  7. Under­stand the costs and ben­e­fits of data mining
  8. Be pre­pared to compromise
  9. Do not con­fuse sta­tis­ti­cal sig­nif­i­cance with mean­ing­ful magnitude
  10. Always report a sen­si­tiv­ity analysis

Although these were framed in the con­text of applied econo­met­rics, they apply to any data analy­sis (except sub­sti­tute “eco­nomic the­ory” for the rel­e­vant field in the first rule).

The rest of his advice is also well-​​worth reading.

 


Related Posts:


 
Tags:
No Comments  comments