Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

From |
Johannes Muck <Johannes.Muck@dice.uni-duesseldorf.de> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Test for significance of total effects in a system of simultaneous equations |

Date |
Wed, 12 Jun 2013 18:14:18 +0200 |

Dear Statalisters, I am estimating a system of two equations with ivreg2: (1) y = a_1*z + a_2*x1 + a_3*x2 + a_4*i1 (2) z = b_1*y + b_2*x1 + b_3*x2 + b_4*i2 Where y and z influence each other, x1 and x2 are exogenous variables influencing both dependent variables, and i1 and i2 serve as instruments for y and z, respectively. To quantify the effects of x1 and x2 on y and z, I calculated the total effects, i.e. for x1 on y this is: total_x1 = (a_2 + a_1*b_2)/ (1-a_1*b_1) Now my question is: How can I test, whether total_x1 is significantly different from zero? Or, in other words, is it somehow possible to store the results from estimating (1) and (2), say as est1 and est2, and then type something like: lincom ([est1]a_2+[est1]a_1*[est2]b_2)/(1-[est1]a_1*[est2]b_1) [Background information : y and z are fractional variables, i.e. bound to [0,1]. As this implies heteroskedasticy (see Papke and Wooldridge, 1996, p. 621), I don?t use reg3 (reason given here: http://statalist.1588530.n2.nabble.com/reg3-option-robust-td5647547.html), but rather additionally estimate a fractional probit model using the ?frm- command.] Thank you very much for your help! Best, Johannes Muck Doctoral Researcher Düsseldorf Institute for Competition Economics References: Papke, L. W., and Wooldridge, J. M. (1996), ?Econometric Methods for Fractional Response Variables With an Application to 401 (K) Plan Participation Rates?, Journal of Applied Econometrics 11 (6), 619-632. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

- Prev by Date:
**Re: st: Interpretation of interaction term in log linear (non linear) model** - Next by Date:
**Re: st: Any major syntax differences in Stata 13?** - Previous by thread:
**st: Hansen-Jagannathan distance** - Next by thread:
**st: Scoring a Fixed Effects Model on another dataset** - Index(es):