File racd3.1st July 1998 This file describes all data and programs for chapter 3 of A.C. Cameron and P.K. Trivedi (1998), REGRESSION ANALYSIS OF COUNT DATA, Econometric Society Monograph No.30, Cambridge University Press. --------- Complete lists of chapter 3 files --------- racd3.asc Formatted ascii data set. racd3p1.lim Limdep program that does all chapter 3 analysis (except bootstrap standard errors in Table 3.3 on page 69). racd3p1r.out Output from Limdep program racd3p1.lim racd3p2.lim Limdep program for bootstrap standard errors Table 3.3 p.69. racd3p2.out Output from Limdep program racd3p2.lim --------- Summary of chapter 3 data --------- File racd3.asc has 5190 observations and 19 variables. Variables are: SEX,AGE,AGESQ,INCOME,LEVYPLUS,FREEPOOR,FREEREPA, ILLNESS,ACTDAYS,HSCORE,CHCOND1,CHCOND2, DOCTORCO,NONDOCCO,HOSPADMI,HOSPDAYS,MEDICINE,PRESCRIB,NONPRESC; Each observation takes one line (80 columns) and is formatted as: F3.0,F5.2,F7.4,F5.2,15F4.0 --------- Details on chapter 3 data, including variable definitions --------- The data set racd3.asc is the same data as originally used in (1) A.C. Cameron and P.K. Trivedi (1986), "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests", Journal of Applied Econometrics, Vol. 1, pp. 29-54. and in (2) A.C. Cameron, P.K. Trivedi, F. Milne and J. Piggott (1988), "A Microeconometric Model of the Demand for Health Care and Health Insurance in Australia", Review of Economic Studies, Vol.55, pp. 85-106. This is exactly same variables as in Table 4 of this paper. Other parts of this paper used more variables than those here. and in (3) A.C. Cameron, P.K. Trivedi (1993), "Tests of Independence in Parametric Models with Applications and Illustrations", Journal of Business & Economics Statistics, Vol.11, pp.29-43. and in a number of other subsequent papers. This data is not a representative sample of Australians as it oversamples young and old. In particular, use of health services may be overstated. This is because while the original sample of 40,650 individuals from the A.B.S. 1977-78 Australian Health Survey is representative, the sample used here is restricted to single people over 18 years of age. See the R.E.Stud. (1988, pp.85-106) section 3 for more detailed discussion of the data than that given in the RACD book. The regressors are defined in RACD on page 68 Socioeconomic: SEX 1 if female, 0 if male AGE Age in years divided by 100 (measured as mid-point of 10 age groups from 15-19 years to 65-69 with 70 or more coded treated as 72) AGESQ AGE squared INCOME Annual income in Australian dollars divided by 1000 (measured as mid-point of coded ranges Nil, <200, 200-1000, 1001-, 2001-, 3001-, 4001-, 5001-, 6001-, 7001-, 8001-10000, 10001-12000, 12001-14000, with 14001- treated as 15000 Health insurance: LEVYPLUS 1 if covered by private health insurance fund for private patient in public hospital (with doctor of choice), 0 otherwise FREEPOOR 1 if covered by government because low income, recent immigrant, unemployed, 0 otherwise FREEREPA 1 if covered free by government because of old-age or disability pension, or because invalid veteran or family of deceased veteran, 0 otherwise (Omitted category LEVY is 1 if covered by Medibank health insurance) Health status: ILLNESS Number of illnesses in past 2 weeks with 5 or more coded as 5 ACTDAYS Number of days of reduced activity in past two weeks due to illness or injury HSCORE General health questionnaire score using Goldberg's method. High score indicates bad health. CHCOND1 1 if chronic condition(s) but not limited in activity, 0 otherwise CHCOND2 1 if chronic condition(s) and limited in activity, 0 otherwise Note that the R.E.Stud. (1988) article uses different names: FREEREPA was called FREEOTHER HSCORE was called GHQ CHCOND1 was called LIMCHRON CHCOND2 was called NONLIMCHRON The count variables are defined in R.E.Stud. (1988, pp.91) DVISITS Number of consultations with a doctor or specialist in the past 2 weeks (same as DOCTORCON in R.E.Stud. (1988) and NOCNSLT in J.A.E.(1986)) NONDOCCO Number of consultations with non-doctor health professionals (chemist, optician, physiotherapist, social worker, district community nurse, chiropodist or chiropractor) in the past 2 weeks HOSPADMI Number of admissions to a hospital, psychiatric hospital, nursing or convalescent home in the past 12 months (up to 5 or more admissions which is coded as 5) HOSPDAYS Number of nights in a hospital, etc. during most recent admission: taken, where appropriate, as the mid-point of the intervals 1, 2, 3, 4, 5, 6, 7, 8-14, 15-30, 31-60, 61-79 with 80 or more admissions coded as 80. If no admission in past 12 months then equals zero. MEDICINE Total number of prescribed and nonprescribed medications used in past 2 days PRESCRIB Total number of prescribed medications used in past 2 days NONPRESC Total number of nonprescribed medications used in past 2 days --------- Descriptive statistics for the data set racd3.asc --------- Descriptive Statistics Variable Mean Std. Dev. Skew. Kurt. Minimum Maximum Cases ---------------------------------------------------------------------------- SEX 0.5206 0.4996 -0.1 1.0 0.0000 1.0000 5190 AGE 0.4064 0.2048 0.4 1.5 0.1900 0.7200 5190 AGESQ 0.2071 0.1856 0.6 1.8 0.0361 0.5184 5190 INCOME 0.5832 0.3689 0.7 2.8 0.0000 1.5000 5190 LEVYPLUS 0.4428 0.4968 0.2 1.1 0.0000 1.0000 5190 FREEPOOR 0.0428 0.2024 4.5 21.4 0.0000 1.0000 5190 FREEREPA 0.2102 0.4075 1.4 3.0 0.0000 1.0000 5190 ILLNESS 1.4320 1.3842 0.9 3.2 0.0000 5.0000 5190 ACTDAYS 0.8618 2.8876 3.8 16.8 0.0000 14.0000 5190 HSCORE 1.2175 2.1243 2.4 9.3 0.0000 12.0000 5190 CHCOND1 0.4031 0.4906 0.4 1.2 0.0000 1.0000 5190 CHCOND2 0.1166 0.3209 2.4 6.7 0.0000 1.0000 5190 DOCTORCO 0.3017 0.7981 4.7 34.3 0.0000 9.0000 5190 NONDOCCO 0.2146 0.9653 6.5 50.7 0.0000 11.0000 5190 HOSPADMI 0.1736 0.5075 4.0 25.4 0.0000 5.0000 5190 HOSPDAYS 1.3337 6.1201 8.2 86.1 0.0000 80.0000 5190 MEDICINE 1.2183 1.5566 1.8 6.5 0.0000 8.0000 5190 PRESCRIB 0.8626 1.4154 2.2 8.4 0.0000 8.0000 5190 NONPRESC 0.3557 0.7124 3.0 18.1 0.0000 8.0000 5190