Phdwiki - User contributions [en]

SAS Coding Help

2008-03-13T15:15:18Z

DyrenSc:

== Code ==
* [http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1015021 How to Gather Data Using a Web Crawler: An Application Using SAS to Search Edgar] - interesting macro that can crawl Edgar reports for data.
* [[Basic Code]]
* [[Statistical Analysis]]
* [[Proc SQL]]

== Macros ==
* [http://www.psych.yorku.ca/lab/sas/macro.htm The basics of macros]
* [[Media:SAS_Macro_Quintiles.txt|Macro for grouping continuous variable into quintiles]]
* [[Media:WinsorizeMacro.txt|Winsorizing and trimming macro]]

==Replications==
* [[Media:BMNreplicate2.txt|Replication of Beaver, McNichols, Nelson RAS 2007]] "An Alternative Interpretation of the Discontinuity in Earnings Distributions"
* [[Media:DEAbyindustry.txt|A data envelopment analysis program]]
[[Image:SimERETOperLev2.txt]]
*[[Media:RSST2005_JAE.txt|Replication of Richardson, Sloan, Soliman, and Tuna (JAE 2005)]]
**[[Media:RSST2005_NoLink.xls|Partial output from replication of RSST(JAE 2005)]]

== Websites to Help ==
* [http://www.ats.ucla.edu/stat/stata/whatstat/default.htm What statistical test should I use]. In addition to explaining what test to use, page also provides information on how to perform test and interpret results using SAS, STATA, and SPSS software.
* [http://www.bus.umich.edu/Academics/Departments/Accounting/nhafzall/default.htm University of Michigan SAS Site]
* Another University of Michigan [http://www-personal.umich.edu/~stoffman/ SAS Site].
* Great resource for simple, straight forward explanation. [http://javeeh.net/sasintro/intro1.html Introduction to SAS: Index]
* [http://www.utexas.edu/cc/docs/stat53.html Factor analysis in SAS]
* [http://www.ats.ucla.edu/stat/examples/default.htm UCLA SAS Textbook Examples]. This page includes examples and problems worked in SAS from more than 40 statistics textbooks.

File:RSST2005 NoLink.xls

2008-03-13T15:12:17Z

DyrenSc: Richardson Sloan Soliman and Tuna (2005 JAE) replication output.

Richardson Sloan Soliman and Tuna (2005 JAE) replication output.

File:RSST2005 JAE.txt

2008-03-13T15:10:13Z

DyrenSc: Replication of Richardson, Sloan, Soliman, and Tuna (JAE 2005)

Replication of Richardson, Sloan, Soliman, and Tuna (JAE 2005)

What classes should I take?

2008-02-24T02:14:20Z

DyrenSc: /* Analytical Skill Sets */

What is most important for a Ph.D. student to know before entering a Ph.D. program depends to a degree on the [[Research Interests|type of research]] that the student wants to conduct. The three "tracts" of research can be separated based on whether the student is interested in conducting [[analytical]], [[archival]], or [[experimental]] research.

===[[Analytical]] Skill Sets===
Students that are successfull in analytical fields often have engineering, math, or physics undergraduate degrees. If one is to master analytical accounting research, advanced mathematical skills are necessary.

===[[Archival]] Skill Sets===

===[[Experimental]] Skill Sets===
One of the most important skills to develop as an experimentalist is research design. The strength of experimental methodology is internal validity. Experimentalists should rarely if ever sacrifice internal validity to achieve other types of validity; thus, being able to design high quality experiments is very important. To develop this skill, a Ph.D. prep student would benefit from a detailed study of Cook and Campbell, an experimental design class (if they offer one at BYU), and attempting to design an experiment and then seeking feedback from an experimentalist.
Experimental research is not as popular in accounting as archival research. Experimentalists must therefore be conversant in archival research methodologies and so developing the skills used by an archivalist will make your life a lot easier in your Ph.D. program.