[India Rural] Overview Preference Parameters Study of Osaka University

Outline of the Survey for the purpose of an estimation ofpreference parameters in Rural India
Purpose
Economics has a premise that people act rationally and maximize utility. However, it is not often
studied whether this premise is indeed true. The purpose of this survey is to examine whether thepremise of present-day economics that people act rationally and maximize utility is true..

Survey Period
This survey was conducted in 2012.

Survey Content
The questionnaire covers the following areas:
1. Risk aversion, time preference, habit formation, and consumption externalities
2. Basic socio-demographic attributes of individuals and households and their budgets andexpenditures

Sample Selection
Population
YearSample

Source2012

Fresh sample

On-site selection

Target of Fresh Sample
Residents in agricultural communities around four cities, Delhi, Mumbai, Bangalore and Calcutta,
aged 20 to 69 years old. The four cities were selected based on population sizes and geographicfactors.

Sampling Method
Multi-stage sampling and allocation method

Sample size
Year2012

Surveyed MonthFebruary 6/ March 10

Number of

Number of valid

Response rate

respondents (ofrespondents (of(for fresh sample)

which fresh

which freshsample)

sample)-(-)

1095(-)
1-(-)

[India Rural] Overview Preference Parameters Study of Osaka University

Stratifying Method and Area Sampling Method

1.

Select main cities.

2.

Select main districts which are from 150km to 200km distance from those cities.

3.

Choose a sub-district from each main district.

4.

List villages with large numbers of families in the sub-district.

5.

Select the ten villages with the largest numbers of families.

6.

Conduct interviews in five villages, which are the 1st, 3rd, 5th, 7th and 9th largest villages.
(Alternate villages are the 2nd, 4th, 6th, 8th, and 10th largest).

Target Sampling Methodology
Allocation is set based on targeted numbers of collected responses as shown below.
1000 responses from all areas (Genders×ages)
20-29

30-39

40-49

50-69

years old years old years oldyears old

Total

Male

220

180

120

1800

700

Female

80

80

60

80

300

Total

300

260

180260

1000

20-29

30-39

40-49

50-69

Totalyears old years old years oldyears oldActual sample sizes

Male232

184

143

179738Female

98937789357

Male

3302772202681095

Socio-Economic-Classification
Survey respondents are from all social stratifications as defined by the Market Research Society ofIndia (MRSI).
We collected the socioeconomic classification for agricultural communities used until 2010 (RI-R4
defined by the household’s education and type of dwelling).

[A new socioeconomic classification

has been introduced for urban areas from 2011 (A-E defined by the household’s education andproperty) but our survey uses the earlier classification]. The precise definitions of R1-R4 and thedistribution of our sample across these categories, both targeted and actual, are shown in the tables
below.

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[India Rural] Overview Preference Parameters Study of Osaka University

Made of thatch shed
Made of brick and cement

Target allocation across MRSI classifications
250 responses from each area distributed across socio economic classifications as follows
R1
R2
R3
R4Total
10250
30
100
110

Actual sample sizes
Total
Delhi
MumbaiBangalore
Calcutta

R1
65
16
15
17
17

R2
142
37
36
35
34

R3435
113
102
109
111

R4453
114
112
115
112

Total
1095
280
265
276
274

Survey Method: Visiting Interview
Interviewers were sent from a local private research institution.
Families at each spot were visited and interviewed. After an interview was completed orarrangements for a next appointment were made, the third household over became the next
target. If a family was absent or declined to be interviewed, interviewers visited the family nextdoor to that one.

Survey Implementation
Nikkei Research Inc.

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[India Rural] Overview Preference Parameters Study of Osaka University

Sampling WeightThe sampling weights are values of the variable “swght”.
The variable “swght” is the Base population divided by the number respondents of the GCOE
survey, which is separated into 40 strata as shown below.
Regions 4 x Genders 2 x Ages (10- year ranges) 5

Base Populations
The base populations were constructed by multiplying the percentages of each gender and each
10-year age range in the national population by the genders, ages and populations in each of
the agricultural communities around the four cities.
Genders, ages and urban population of the agricultural communities around the four cities werecollected from Census 2011 (Ministry of Home Affairs, Government of India).

The percentage of the population of each gender for each 10-year age range was only available forthe nation as whole, so the same values were used for all four cities and for all agriculturalcommunities.

Samples
Samples were gathered from 40 sections of agricultural communities around four cities in India.

Variable to Distinguish Individuals
The variable “CASEID” identifies individuals.

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