Creating a 2000 IES-LFS Database in Stata



PROVIDE Project Technical Paper 2005:1

February 2005


Table 1: Percentage differences (employment and wages)

IES 2000 No.
of obs.

LFS 2000:2
No. of obs.

Percentage
under-
/overreported

Mean
(inclabp) (IES
2o00)

Mean
(w_inclabp)
(LFS 2000:2)

Percentage
under-
/overreported

Legislators senior officials and managers

420,402

501,689

________19%

112,787

165,009

_______46%

Professionals_______________________________

449,222

481,781

________7%

102,199

125,365

_______23%

Technicians and associate professionals_____

905,578

988,889

________9%

_______62,146

_______56,831

_________-9%

Clerks______________________________________

893,638

960,147

________7%

_______39,350

_______85,415

_______117%

Service workers & shop market sales workers

1,038,507

1,289,362

_______24%

_______25,977

_______36,532

_______41%

Skilled agricultural and fishery workers______

340,695

428,772

_______26%

________16,751

________17,810

________6%

Craft and related trades workers_____________

1,225,808

1,445,966

________18%

_______25,852

_______43,746

_______69%

Plant and machine operators and assemblers

1,011,376

1,099,325

________9%

_______22,855

_______64,158

_______181%

Elementary occupations___________________

1,705,561

2,121,789

_______24%

_______13,442

_______33,358

_______148%

Domestic Workers______________________

923,499

981,741

________6%

________6,302

________6,258

_________-1%

Unspecified______________________________

737,041

_______22,946

________-97%

_______15,937

_______51,858

_______225%

Total_______________________________________

9,651,327

10,322,407

________7%

_______32,405

_______53,091

_______64%

Also reported in Figure 1 and Table 1 are employment figures reported in the IES and
LFS. The LFS reports higher employment figures for almost all occupation groups. The
patterns of employment in the LFS and IES are, however, similar. The unspecified category
shows the largest difference. This is probably due to the fact that the LFS uses two separate
questions to determine the occupation code, while the IES has only one question. Table 2 is a
cross-tabulation of the two occupation code variables. Only 45 persons report their
occupation code as ‘unspecified’ in the LFS, compared to the 1,798 unspecified workers in
the IES. Many of these workers (1,253) reported no income in the LFS, which is why they are
classified as ‘not applicable’ in the LFS.

As for the remainder of the occupation codes there is a fairly high correlation between the
LFS and IES. In Table 2 those observations on the diagonal of the cross-tabulation show
those persons who report the same occupation code in both the LFS and the IES. The
percentage ‘correctly categorised’ observations is fairly high. The ‘correctly categorised’ row
is defined as the number of observations on the diagonal divided by the column total (IES
number of observations), while the column is defined as the number of observations on the
diagonal divided by the row total (LFS number of observations). Section 4.2.4 continues the
discussion of the new employment figures that are used together with
inclabp_new and
inclabp_old.

13

© PROVIDE Project



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