The data set 'panelcrosswork.dta' gives the link between two surveys, 1992-93 and IHDS 1 (2004-05) interview ids. v2 : state code (1992-93) v3 : hhid is a state (1992-93) stateid : state id (2004-05) distid : dist id (2004-05) psuid : psuid (2004-05) hhid : hhid (2004-05) hhsplitid: HH split id (2004-05) idhh : composite id of 2004-05
Using this link table you will be able link the two surveys.
Did IHDS survey the same schools and medical facilities in 2004-5 and 2011-12, allowing us to create a facilities panel?
No, there was no intention of surveying the same facilities. Thus, while in some cases, the same schools and clinics may have been surveyed in two rounds, this was not planned and no linkages are possible.
DEFLATOR is a variable that is used to adjust for price changes over time in different states. Deflators for rural areas are based on CPI for Agricultural Wage Labour, deflators for urban areas are based on CPI for Industrial Workers. For interviews that took place before July 2012, it refers to ratio of CPI-AL and CPI-IW 2011-12 to those for 2004-05; for interviews that took place after July 2012, it is the ratio of July-December CPI-AL and CPI-IW to June-May 2004-05 CPI-AL and CPI-IW respectively.
To convert 2004-5 prices to 2011-12, divide by DEFLATOR.
Weights are a complex issue. Our recommendation:
If doing individual cross sectional analyses, then use the appropriate individual survey weight (WT for 2012 and SWEIGHT for 2005).
If doing a panel analysis, best approximation is to use the weights for 2005 rather than 2012.
For now, please ignore the different missing value codes and treat all as missing data. Our goal is to distinguish different kinds of missing data in the future, but the current data do not reliably do this.
If there are five equal categories, why do they appear unequal?
The schools that are most commonly used by village residents based on a village focus group. In many villages, there was only one school.
For example, a respondent's age, sex, religion or caste.
Use IHDS 2 which has been more recently cleaned and updated. We believe our second round of data benefits from our experience with the first, in terms of procedures and supervision, so IHDS 2 data is preferred.
For example, a respondent's age, sex, religion or caste.
Use IHDS 2 which has been more recently cleaned and updated. We believe our second round of data benefits from our experience with the first, in terms of procedures and supervision, so IHDS 2 data is preferred.
Selection information: In urban blocks and rural areas of northeastern states where 5 or more IHDS households were lost to attrition, the interviewers were asked to notify NCAER monitors of this loss.
Once the loss was verified via physical check, a replacement household was randomly selected in the same neighborhood to refresh the sample. This has led to 2134 new households being included in the IHDS 2 sample.