Using this novel dataset, the main aim of this project is to examine if there are broad commonalities in time-use patterns among older populations in East Asia, and how these patterns compare to those in Western countries. We focus on four key dimensions of daily life: paid work, domestic ...
(F-, or Wald-Test). I figured out how to do it in OLS: I typed "estimates store est_#" after every equation, afterwards I estimated "suest est_*" (seemingly unrelated estimations), and afterwards I could test "test var1=var2=var3=var4" But now I would like to do the same ...
firms may find it relatively easier and more cost-effective to engage in activities like lobbying or bribery to evade or dilute the impact of CSP regulations. Moreover, cultural contexts also impact preferences for socially responsible corporations (Luo et al.2015; Matthiesen and Salzmann2017; Sun...
I'm using a > >set of dummies for variable "age", and I want to set the coefficients > >of age1 to be equal to age2. > >How can this be done in Stata? > >Thanks a lot. > > ols regression? See -help cnsreg-. Or alternatively, do something like > > reg y age1 age2 ...
Journal of Public Policy http://journals.cambridge.org/PUP Additional services for Journal of Public Policy: Email alerts: Click here Subscriptions: Click here Commercial reprints: Click here Terms of use : Click here How to win friends and inuence people: climate ...
Supplementary Table S4 provides a robustness test of the interaction effects by performing an OLS regression with country dummy variables included (and with cluster-robust standard errors). The results for the interaction terms were qualitatively similar to those in Table 4; the same holds for the ...
of the estimators of interest, offering Stata-based examples along the way. Next it shows how to apply these estimators with xtabond2. It also explains how to perform the Arellano-Bond test for autocorrelation in a panel after other Stata commands, using abar. The paper ends with some ti...
OLS is used to estimate the coefficients αr1,r2, βr1,r2 and ϑi, where βr1,r2=1 represents the null hypothesis and βr1,r2 >1 represents the alternative hypothesis of autocorrelation. Given that the ADF regression is varying within the range [0,r2−r0] with a minimum window size...
We use FLRs because the massing at outcome measure boundaries (see Fig.1) threatens OLS regression assumptions that outcomes are continuous (Ramalho et al.,2011). As quasi-maximum likelihood estimators that are also quasi-parametric, FLRs do not necessitate any particular probability distribution func...
> From: baum@bc.edu > Subject: st: re: How to correct standard errors of a 2sls performed by > Date: Fri, 5 Feb 2010 19:56:56 -0500 > To: statalist@hsphsun2.harvard.edu > > <> > Annie-Sophie said > > In fact i use a logistic in the first step and ols in the second...