Applied Health Economics: Jones (Routledge Advanced Texts in by A. Rice, Jones

By A. Rice, Jones

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Additional info for Applied Health Economics: Jones (Routledge Advanced Texts in Economics and Finance)

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We use this to create an indicator of whether an observation is in the estimation sample or not: • gen insampm=0 • recode insampm 0=1 if e (sample) Then the data are sorted by individual and wave identifiers and a new variable (Ti) is generated that counts the number of waves for which each individual is observed: • sort pid wavenum • gen constant=1 • by pid: egen Ti=sum (constant) if insampm==1 Using this new variable it is possible to create indicators of whether an individual appears in the next wave (nextwavem) and for whether they appear in the balanced panel (allwavesm).

In this sense, the analysis treats the sample as a cohort consisting of all those present at wave 1. To be included in the analysis individuals must be ‘original sample members’ (OSMs) who were aged 16 or over and who provided a valid response for the health measures at wave 1. Our broad definition of non-response encompasses all individuals who are missing at subsequent waves. The first step is to load the Stata data file, called bhps. log”, replace As this is a panel dataset it is useful to specify new variables that contain the individual (i) and time (t) indices.

0712 t P>|t| [95% Conf. 8579 In this case the model passes the test. The ordered probit model imposes the assumption of a single linear index so that the coefficients remain stable across the categories of the dependent variable. This is relaxed by the generalized ordered probit model. 1724 cdsah1 Coef. Robust Std. Err. 4632811 Number of obs= 15540 Wald chi2 (40)= . Prob>chi2= . 2819 z P>|z| [95% Conf. 4647546 . 23 . 0365 cdsah2 Coef. Robust Std. Err. 131849 . 000 . 310044 . 1978 z P>|z| [95% Conf.

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