fert: Calculates fertility indicators based on survey data.

In DHS.rates: Calculates Demographic Indicators

Description

fert returns fertility indicators such as the Total Fertility Rate (TFR), General Fertility Rate (GFR), and Age Specific Fertility Rate (ASFR) fert returns the Standard Error (SE), fertility exposure (N), weighted exposure (WN), Design Effect (DEFT), Relative Standard Error (RSE), and Confidence Interval (CI).

Usage

fert(
  Data.Name,
  Indicator,
  JK = NULL,
  CL = NULL,
  Strata = NULL,
  Cluster = NULL,
  Weight = NULL,
  Date_of_interview = NULL,
  Woman_DOB = NULL,
  EverMW = NULL,
  AWFact = NULL,
  PeriodEnd = NULL,
  Period = NULL,
  Class = NULL
)

Arguments

Data.Name	The DHS women (IR) dataset or data from other survey with the same format.
Indicator	Type of indicator to be calculated ("tfr", "gfr", "asfr").
JK	"Yes" to estimate Jackknife SE for TFR.
CL	Confidence level to calculate the Confidence Coefficient Z of the Confidence Intervals; default if 95.
Strata	Stratification variable if other than "v022".
Cluster	Sample cluster variable if other than "v021".
Weight	Survey weight variable if other than "v005".
Date_of_interview	Date of Interview (CMC) variable if other than "v008".
Woman_DOB	Woman date of birth (CMC) variable if other than "v011".
EverMW	"Yes" for ever-married women data.
AWFact	All-women factor variable in case of EverMW = “Yes”.
PeriodEnd	The end of the exposure period in YYYY-MM format; default is the date of the survey.
Period	The study period for fertility in months; default is 36 months (3 years).
Class	Allow for domain level indicators.

Value

Fertility indicators (TFR, GFR, or ASFR), and precision indicators (SE, DEFT, RSE, and CI).

Author(s)

Mahmoud Elkasabi.

Examples

# Calculate TFR and estimate Jackknife SE based on all women AWIR70 data

data("AWIR70")
Total_Fertility_Rate <- fert(
 AWIR70,
 Indicator = "tfr",
 JK = "Yes"
)

# Calculate GFR and estimate SE based on ever-married women EMIR70 data

data("EMIR70")
General_Fertility_Rate <- fert(
 EMIR70,
 Indicator = "gfr",
 EverMW = "YES",
 AWFact = "awfactt"
)

# Calculate Urban/Rural level ASFR and estimate SE based on all women AWIR70 data

data("AWIR70")
Age_Specific_Fertility_Rate <- fert(
 AWIR70,
 Indicator = "asfr",
 Class = "v025"
)

DHS.rates documentation built on Dec. 11, 2021, 10:01 a.m.