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From |
Martijn S <[email protected]> |

To |
[email protected] |

Subject |
st: Generating industry quintiles on basis of the increase in cash flow risk |

Date |
Tue, 24 May 2011 18:14:44 +0200 |

Hello all, I have problems generating industry quintiles on basis of the increase in cash flow risk. • It involves the following variables: fyear, industrycode, industrycashflowrisk. • Fyear has a range from 1999-2010. • Industrycode has a range from: 1 to 99, denoting the industries in which each firm is active. • Industrycashflowrisk is a variable which represents cash flow risk. My sample obtains firm-year observations. I want to do the following: 1. I want per industrycode the difference between the industrycashflowrisk in 2010 and in 2001. Thus I want 1 variable which is filled with these differences. 2. Next I want to develop 5 quintiles which are based on the height of these differences. So for example, if industrycode 10 does belong to the industries for which the industrycashflowrisk has risen the ‘most’ I want to assign to each firm, in each year, a ‘5’ when it is active in industry 10. Each industry should only be assigned to 1 particular quintile number. Thus, I do not want the quintile to assign a 4 to some firms in industry 10, and a 5 to other firms in industry 10. Other notes: • Some industries only have observations from 2001 till e.g. 2008. I do not want to take these industries into account. Thus the quintile generating process should not assign a number to observations in that industry. I only want to assign a quintile number to industries which have observations in 2001 and in 2010. • The industrycode variable has a range from 1 to 99, but some industries do not occur, for example I have industries starting with: 1,2,7,8 (thus they have gaps in it) I tried some by sort functions and doing manually but I cannot get the problem solved. I hope someone can help me solve this problem. Thanks, Martijn * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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