Professional version of ProFamy software
In addition to all of the functions of the Basic version, the professional version of ProFamy software has the following additional capacities:
The sub-region model is designed to do households projection for the sub-state area at which the sample size is too small to use ProFamy extended cohort component method. The ratio method was used for the sub-region households projection. You must first do the projection of the parental state where the sub-state area is located. You also need to provide the census micro data file of the sub-state area in order to derive by ProFamy the proportions of the households with various types/sizes of sub-state area among the corresponding households of the parental state, derived from the census data.
Estimating Children leaving home model
You could easily estimate children leaving home rates using two census data of proportion of living with children by apply this model. You need to provide two most recent adjacent censuses’ input files based on the census micro data sets for running the BasePop subprogram twice (see Chapter 3 for the format of such input files). After you run the BasePop subprogram twice using the two most recent adjunct censuses input files, ProFamyProFamy will estimate the age-sex-specific net rates of leaving home based on a method initially proposed by Coale (1984; 1985), Coale et al. (1985), and generalized by Stupp (1988). This method was applied to estimate age-sex-specific net rates of leaving the parental home in the U.S., China, France, Sweden, Japan, and South Korea (Zeng, Coale et al., 1994). See Subsection 3.2.5 for more detailed discussions on how to estimate the age-sex-specific net rates of leaving home.
This is a more extended and complicated model. More than one region (region can be provinces or states or county or city) are included in the multi-regional model. In our new multi-regional (or multi-county) model, the weighted average of the summary measures of all regions (using the proportions of the region-specific risk populations among the total risk population of the whole region as weights) in year t must be equal to the corresponding summary measures of the whole region. The sums of projected age-race-sex-specific numbers of households and residences for all regions are equal to the corresponding age-race-sex-specific numbers of households and residences of the whole region as if the projection is done for the whole region rather than region-specific. This is the so-called within-region consistency, which should be met. Pension deficit rates model
The model will project pension deficit rates using a simple method proposed the paper: Zeng Yi. 2008. “Estimating the Impacts of Demographic and Policy Factors on Pension Deficits -- A Simple Method and Application to China.” Working paper of Max Planck Institute for Demographic Research (http://www.demogr.mpg.de/), also available at our ProFamy Website. The pension deficit rate (n(t)), which is defined as the ratio of the total amount of pension deficit (i.e., the difference between the total pension payments to retirees and the total pension premium contributions by workers and employers) to the total wages in year t. n(t) can be positive (pension fund deficit), zero (balanced), or negative (pension fund surplus). For projecting the pension deficit rates, you will need to provide a few projected or assumed parameters in the future years (Ref. to Zeng, 2008 for more details).
Multistate life table analysis model
The model will estimate the marital/cohabiting multistate status life table and marital/cohabiting and parity-specific fertility multistate life table, using the input data of age-sex-specific occurrence/exposure rates of marital/ cohabiting status transitions and parity-specific fertility.