household members time allocation to daily activities and decision to hire domestic helpers donggen...
DESCRIPTION
Research Background Modelling activity and travel interactions between household members (Bhat and Pendyala, 2005) Structural equations models Interactions in activity participation and travel between household heads (Golob and McNally 1997) Time allocation models Time allocation models of adult household members’ participation in and time allocation to independent and joint activities (Gliebe and Koppelman 2002; Scott and Kanaroglou 2002) Group decision-based models for time allocation to independent, shared and allocated activities (Zhang et al. 2002; 2004)TRANSCRIPT
Household Members’ Time Allocation to Daily Activities and Decision to Hire Domestic Helpers
Donggen WANG and Jiukun LIDepartment of GeographyHong Kong Baptist UniversityKowloon Tong, KowloonHong Kong
Outline Research background and objectives A model of household time allocation
taking into consideration of hiring domestic helpers
Model estimation An empirical study: Hiring domestic
helpers and household time allocation in Hong Kong
Model prediction and impact analysis Conclusions
Research Background Modelling activity and travel interactions
between household members (Bhat and Pendyala, 2005) Structural equations models
Interactions in activity participation and travel between household heads (Golob and McNally 1997)
Time allocation models Time allocation models of adult household members’
participation in and time allocation to independent and joint activities (Gliebe and Koppelman 2002; Scott and Kanaroglou 2002)
Group decision-based models for time allocation to independent, shared and allocated activities (Zhang et al. 2002; 2004)
Research Background
Discrete choice modelsThe allocation of maintenance activities
to household members in terms of who and how (jointly or independently) the maintenance activities are conducted (Vovsha, et al. 2004; Srinivasan and associates 2005; 2006)
Tour-based discrete choice models accounting for interactions between household heads (Gliebe and Koppelman, 2005)
Research Background Existing studies share an underlying
assumption: no external help for household maintenance tasks
In reality, households may get helps from members of the extended family, or hire domestic helpers
External helps may change activity-travel patterns of household members
Consideration of external helps is important for understanding activity-travel behaviors of household members
Hardly any study of this kind is reported in the literature
Research ObjectivesDevelop a model to analyze time
allocation of household members taking into consideration of hiring domestic helpers.
Calibrate the model by empirical dataApply the model for analyzing the
impacts of wage rate changes on time allocation
Notations is the total time available for member i; is the time spent for activity j by
member i. is the amount of time that a domestic
helper is hired. is the baseline utility for time invested in
activity j by household member i . is the baseline utility for hiring domestic
helpers is the wage rate of household member i,
is the wage rate of domestic helpers.
iTjiT
G
G
jiu
i maidq
Utility Functions of Household Members and
Domestic HelpersWe define the utility function of a
household member as follows:
And the utility function of hiring a domestic helper is:
ln 1j ji i i
j
u u T
ln 1 ln 1
wi i maid
iG G w
i ii
T Gu G G
T
A Model of Time Allocation Households are assumed to maximize the household
utility:
(1)
Subject to: (a) (b) Where and are respectively weights of
household members and domestic helpers, representing their relative contributions to household utility.
ln 1 ln 1
i i G Gi
wi i maid
j j ii i i G w
i j i ii
Maximize HUF wu w u
T Gw u T w G
T
w m ri i i iT T T T
mi
i
T G A
Gw, 1, ,iw i n
A Model of Time Allocation Lagrangian function
where are respectively the Lagrangian multipliers associated with the time constraint for member and that associated with the time constraint of maintenance.
ln 1 ln 1
wi i maid
j j ii i i G w
i j i ii
j mi i i i
i j i
T GL w u T w G
T
T T T G A
i and
A Model of Time AllocationThe first-order conditions of the
Lagrangian function
**
2**
1 ln 1 01
w i maidi i G iw
i wi i
i
Gwu w G
TT
*
1 01
mi i im
i
wuT
*
1 01
ri i ir
i
wuT
*
** * * ln 1 0
1
wi i maid
G i G maidw w
i i i ii i
T Gw w
GG T T
From the first-order conditions, we may derive the following interrelations among time allocation to activities and time of hiring domestic helper:
(2)
(3)
With constraints (a) and (b)
*
*2* *
*
ln 11 1
w ri i maid i
i G iw ri iw
i ii
u G uw w G wT T
T
* *
** * * * *
1 ln 11 1 1
wm ri i maidi i maid i
i G G im w w ri i i i i i
i i
T Gu u
w w w G wT G T T T
A Model of Time Allocation
Specification of the baseline utility function
In general the utility function can be expressed as follows:
(4)
Where are error terms, is the systematic component of utility and assume that it is continuously differentiable
We assume that The utility contribution of time allocation is
dependant on socio-economic characteristics of individuals, the systematic component of utility is to capture these effects
,j j j j j j ji i i i i i iu v f x
, , ,ji j w m r ,j j j j
i i i iv f x
Model Estimation
Substituting equation (4) into (2)and into (3), we got the following equation
* *1 1
r r w wi i i i i
i r wG i i
w v vw T T
* *1 1
m m r ri i i i i
i m rG i i
w v vw T T
Model EstimationWhere
*
*2
*
ln 1i maidi
wi i
i
G G
T
* *
** * *
1 ln 11
wi i maid
i maidi w w
i i i ii i
T GG
G T T
Model EstimationAssume that error term
are independently and identically standard normal distributed
we add the following auxiliary random variable:
based on the property of normally distributed variables, Then the density function of the random vector may be derived as follows:
, , ,ji j w m r
, 1, ,ri i i n
, ,i i i
Model Estimation
• Where
2 2* *
2* ** *
1 11 1
1 12
3
1, , ,2
w mw mi i
i i i i i i i i i i ir ri i
T Ta w T b w T
T T
i i i if e J
Gi
i
ww
w
*
*
11
wr wi
i i iri
Ta v vT
*
*
11
mr mi
i i iri
Tb v vT
**
*
*2* * *
*
11 0
1
10 1 1 11
0 0 1
w w w wwi i i i
i i ri i i i
m m m mm w mi i i i
i i i i i iri i i i
r r ri i i
i i i
Tw T
T
TJ w T w T TT
Model Estimation• Therefore the density function of the random
vector can be derived as follows:
• Where
,i i
2 2* *2* *
* *
2 2* * 2
1 11 1
1 12 * *2
3
1 1* *2 2 4
3
1, 1 1 d2
1 1
2
w mw mi i
i i i i i i i i i i ir ri i
w mi i i i i i i i i
i
T Ta w T b w T
T Tw m
i i i i i i i
a w T b w T dw mi i c
i
i
f e w T T
T Tw e
c
2 2* *
* *
1 11 12 1 1
w mi i
i r ri i
T Tc
T T
* *
* ** *
1 11 11 1
w mw mi i
i i i i i i i i ir ri i
T Td a w T b w TT T
Model Estimation The maximum likelihood method may be applied to estimate the parameters.
Introducing the index for household, we can write the likelihood function as follows:
Where The sequential number theoretic optimization (SNTO) algorithm can be used to solve
the likelihood function to find the maximum likelihood estimation of parameters . SNTO searches for the global optimum among points uniformly scattered in the search space (Fang and Wang, 1994).
, , , ln ,n
w m ri i i i i i i
d i
L w f
1 , , , 1, , , , ,j j ji i iH i n j w m r
andji iw
An Empirical StudyHong Kong: A special
Administrative region of ChinaArea size: 1100 square kilometersHigh population density (more than
6,000 per square kilometers)In 2004, about 218,430 foreign
domestic helpers working in Hong Kong
An Empirical Study Hong Kong Travel Characteristics Survey conducted in
2002; only households that have married couples and at least one of the couple is employed are selected;
About the sample: size: 10,381 households; About 9.9% have live-in maids; About 15.9% have car available for private use; About 17.0% have child aged 1 to 5 and 45.4% have child
aged 6-17; About 48.2% of the households live in private apartment or
house About 76.1% of male heads are employed and 49.2% of
female heads are employed.
An Empirical StudyVariable definitions
Time duration of the following activities: subsistence, maintenance and recreation
Wage rate: calculated from monthly household income (divided by duration of subsistence activity)
If both household heads are working: Male : female (1.35 :1)
If only one head is working, all household income is allocated to the person
Domestic helper: Monthly costs of a domestic helper: around 6000
HK dollarsWorking time: 10 hour/day, Wage rate: 20 HKD/hour
An Empirical StudySocio-Economic variables
household size, type of housing (‘1’ for private housing and
‘0’ for public housing), the presence of child aged 5 or younger and
of child aged 6 to 17, age of household head (1: 20 years old or
younger, 2: 21 – 40, 3: 41 – 60, 4: older than 60)
car ownership. Assume the baseline utility is defined
as follows: exp , 1,2, , ,j j ji ih ih
h
v x i j w m r
Parameter Estimation Estimation of parameters for subsistence activity
Male head Female head
Variables Coefficients t Coefficients t
Constant -0.8847 -7.3371 -0.8580 -4.9138
Type of housing -0.6497 -6.7852 0.1502 2.9280
Household size -0.3326 -6.9505 -0.0942 -3.2963
Age of household head -0.5415 -6.7453 0.0888 2.5447
Presence of child aged 5 or lower -0.6595 -6.5558 -0.3638 -3.5682
Presence of child aged 6 to 17 0.0233 3.4570 -0.5304 -4.1895
Car ownership -0.2778 -5.6680 -0.3441 -3.4894
Parameter EstimationEstimation of parameters for maintenance activity
Male head Female head
Variables Coefficients t Coefficients t
Constant 2.9225 5.8414 -2.4992 -4.7717
Type of housing -0.7391 -4.2235 0.9047 3.6105
Household size -0.6348 -4.9063 -0.6739 -3.3160
Age of household head -0.2128 -3.1207 0.0710 1.0656
Presence of child aged 5 or lower 0.3654 3.2747 -0.2371 -2.2714
Presence of child aged 6 to 17 0.7821 4.2799 0.1066 1.4720
Car ownership -0.0394 -1.0243 -0.3398 -2.6312
Parameter Estimation Estimation of parameters for recreation activity
iw
Male head Female head
Variables Coefficients t Coefficients t
Constant -2.7043 -8.4545 -0.6257 -6.9907
Type of housing -0.4099 -6.3246 -0.6213 -4.3478
Household size 0.4674 7.2908 0.0218 1.8328
Age of household head
-0.7797 -7.1099 -0.1273 -2.9048
Presence of child aged 5 or lower
0.5436 6.3625 -0.1447 -2.6463
Presence of child aged 6 to 17
-0.4085 -6.3211 0.2107 3.2663
Car ownership -0.8141 -6.7432 0.7342 4.2472
1.8011 59.0389 0.8606 4.6398
Number of observations=10381 2 0.1669
Model Prediction The model can be used to predict the time use of household
members and time of hiring domestic helpers for household.
Subject to:
ln 1 ln 1
i i G Gi
wi i maid
j j ii i i G w
i j i ii
Maximize HUF wu w u
T Gw u T w G
T
w m ri i i iT T T T m
ii
T G A 0, 0jiT G
Model Prediction Based on the parameters estimation, we can forecast the
time allocation to activities for household members and the time of hiring domestic helper
Assume that the socio-economic variables: (type of housing, household size, Age of household head, Presence of child aged 5 or lower, Presence of child aged 6 to 17, Car ownership)=(1, 4, 2, 1, 1,1)
1 216, 16, 8T T A 1 265, 33, 20maid
Model Prediction
Optimal time allocation to activities for household members and time of hiring domestic helper
Member Activities Total
Subsistence Maintenance Recreation
Male head 6.3416 3.8973 5.7612 16
Female head 5.9019 3.2199 6.8782 16
Helper 2.8828
Impact Analysis
- 60
- 50- 40- 30- 20- 10
010203040
10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100The wage rate of domest i c hel per
Perc
enta
ge c
hang
e of
tim
e al
loca
tion
subsi stence of mal e head mai ntenance of mal e headrecreat i on of mal e head subsi stence of f emal e headmai ntenance of f emal e head recreat i on of f emal e headhi r i ng t i me of domest i c hel per
Impact Analysis
- 20
- 10
0
10
20
30
40
50
10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200The wage rate of mal e head
Perc
enta
ge c
hang
e of
tim
eal
loca
tion
subsi stence of mal e head mai ntenance of mal e headrecreat i on of mal e head subsi stence of f emal e headmai ntenance of f emal e head recreat i on of f emal e headhi r i ng t i me of domest i c hel per
Impact Analysis
- 10
- 5
0
5
10
15
20
10 20 30 40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200The wage rate of f emal e head
Perc
enta
ge c
hang
e of
tim
eal
loca
tion
subsi stence of mal e head mai ntenance of mal e headrecreat i on of mal e head subsi stence of f emal e headmai ntenance of f emal e head recreat i on of f emal e headhi r i ng t i me of domest i c hel per
ConclusionsA model of time allocation considering hiring
domestic helpers is developed and successfully applied calibrated by a large empirical data set.
The model is tested by analyzing the impacts of wage rate change on time allocation to various activities and the time of hiring domestic helper.
Future extension of the model should consider other types of external helps, such as that from members of the extended family.