Immigrant Labour Markets, 1988

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Makkai, Toni; McAllister, Ian, 2019, "Immigrant Labour Markets, 1988", https://doi.org/10.26193/JDN1CC, ADA Dataverse, V2

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Description	This study incorporates statistics pertaining to industrial location and employers of respondents surveyed in the Issues in Multicultural Australia, 1988 survey (SSDA No 534-540, Office of Multicultural Affairs, 1988). Data from the Issues in Multicultural Australia, 1988 survey are included in this dataset. Industry variables include industry code; gross wage and salaries; severance payments; payroll tax; contributions to super; workers compensation; major labour costs; new fixed cap expenditures; location counts; management units; enterprise concentration ratios; establishment concentration ratios; wages concentration ratios; turnover concentration ratios; value added concentration ratios and turnover concentration ratios. Enterprise variables include number of enterprises and employees; turnover; expenses; rent, leasing and hiring revenue; insurance and compensation premiums; interest and royalties paid; and fixed capital expenditure. Company and annual report data variables include annual sales; number of employees; imports and exports; type of company; operating revenue and profits and total assets. Employment variables include number of union members employed and number of full-time and part-time employees. Variables from the Issues in Multicultural Australia, 1988 include country of birth and parents' country of birth, father's occupation and educational level; language - English language ability, languages spoken, use of own language, ethnicity - identification with ethnic groups, government aid to such groups, religious observance; education - school leaving age, qualifications obtained, recognition of overseas qualifications, transition to employment; current job - job status, occupation, industry, trade union membership, gross income, problems looking for work; spouse - country of birth, education and qualifications, occupation and industry, income and income sources; immigration - attitudes to immigration policy, opportunities for immigrants, social distance from various ethnic groups, and attitudes to authority; family and social networks - numbers of children, siblings in Australia, numbers of close friends in Australia, neighbours; citizenship - citizenship status, participation in political matters and interest in politics; trust in government; and multiculturalism - views on what multiculturalism means, and its importance to Australian society.
Subject	Social Sciences
Keyword	Culture; ethnic groups, Citizenship, Civil rights, Discrimination in employment, Education, Employers, Ethnic groups, Immigration, Labour, Language, Migrants and employment, Multiculturalism, Social classes, Taxation, Trade unions, Wages, Working conditions
Related Publication	Makkai, Toni and Ian McAllister. Immigrant Labour Markets: Ethnic Segmantation and Socioeconomic Disadvantage. Canberra: The Australian National University, 1994.
Notes	Copyright: Copyright © 2005, Australian Institute of Criminology. All rights reserved.
License/Data Use Agreement	Custom Dataset Terms

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Citation Metadata

Persistent Identifier	doi:10.26193/JDN1CC
Publication Date	2019-01-25
Title	Immigrant Labour Markets, 1988
Other Identifier	Australian Data Archive: 01024-pub 01024-r
Author	Makkai, Toni (Australian National University) - ORCID: https://orcid.org/0000-0003-2446-5737 McAllister, Ian (University of New South Wales) - ORCID: https://orcid.org/0000-0001-8448-6738
Point of Contact	Use email button above to contact. Australian Data Archive (Australian National University)
Description	This study incorporates statistics pertaining to industrial location and employers of respondents surveyed in the Issues in Multicultural Australia, 1988 survey (SSDA No 534-540, Office of Multicultural Affairs, 1988). Data from the Issues in Multicultural Australia, 1988 survey are included in this dataset. Industry variables include industry code; gross wage and salaries; severance payments; payroll tax; contributions to super; workers compensation; major labour costs; new fixed cap expenditures; location counts; management units; enterprise concentration ratios; establishment concentration ratios; wages concentration ratios; turnover concentration ratios; value added concentration ratios and turnover concentration ratios. Enterprise variables include number of enterprises and employees; turnover; expenses; rent, leasing and hiring revenue; insurance and compensation premiums; interest and royalties paid; and fixed capital expenditure. Company and annual report data variables include annual sales; number of employees; imports and exports; type of company; operating revenue and profits and total assets. Employment variables include number of union members employed and number of full-time and part-time employees. Variables from the Issues in Multicultural Australia, 1988 include country of birth and parents' country of birth, father's occupation and educational level; language - English language ability, languages spoken, use of own language, ethnicity - identification with ethnic groups, government aid to such groups, religious observance; education - school leaving age, qualifications obtained, recognition of overseas qualifications, transition to employment; current job - job status, occupation, industry, trade union membership, gross income, problems looking for work; spouse - country of birth, education and qualifications, occupation and industry, income and income sources; immigration - attitudes to immigration policy, opportunities for immigrants, social distance from various ethnic groups, and attitudes to authority; family and social networks - numbers of children, siblings in Australia, numbers of close friends in Australia, neighbours; citizenship - citizenship status, participation in political matters and interest in politics; trust in government; and multiculturalism - views on what multiculturalism means, and its importance to Australian society.
Subject	Social Sciences
Keyword	Culture; ethnic groups Citizenship Civil rights Discrimination in employment Education Employers Ethnic groups Immigration Labour Language Migrants and employment Multiculturalism Social classes Taxation Trade unions Wages Working conditions
Topic Classification	Australian studies Employment, Labour Occupations, Labour market
Related Publication	Makkai, Toni and Ian McAllister. Immigrant Labour Markets: Ethnic Segmantation and Socioeconomic Disadvantage. Canberra: The Australian National University, 1994.
Notes	Copyright: Copyright © 2005, Australian Institute of Criminology. All rights reserved.
Language	English
Production Date	2004-08-27
Contributor	Funder : Australian Research Council Funder : Research School of Social Sciences, The Australian National University Funder : Department of Politics, University of New South Wales Data Collector : Margrit Davies, Azita Parsamanesh, Debra Rickwood, Umme Salma, The Australian National University
Distributor	Australian Data Archive (The Australian National University) (ADA) https://ada.edu.au/
Depositor	Toni Makkai, Australian Institute of Criminology [affiliation: Australian Institute of Criminology]
Deposit Date	2000-05-24
Date of Collection	Start Date: 1988-01-01 ; End Date: 1989-01-01
Data Type	Statistics/aggregate data; Survey data
Related Material	Codebook - ADA.CODEBOOK.01024.pdf; Coding Frame - ADA.CODINGFRAME.01024.pdf; Note - ADA.NOTE.01024.pdf; Questionnaire - ADA.QUESTIONNAIRE.01024.pdf; Technical Report - ADA.REPORT.01024.pdf; Codebook - ADA.CODEBOOK.01024-pub.rtf
Related Dataset	ADA Study 534 - Office of Multicultural Affairs. Issues in multicultural Australia, 1988: general sample [computer file]. Canberra: Data Archives, The Australian National University, 1989. (SSDA Study No. D534). - au.edu.anu.ada.ddi.00534; ADA Study 535 - Office of Multicultural Affairs. Issues in multicultural Australia, 1988: non-English speaking sample [computer file]. Canberra: Data Archives, The Australian National University, 1989. (SSDA Study No. D535). - au.edu.anu.ada.ddi.00535; ADA Study 536 - Office of Multicultural Affairs. Issues in multicultural Australia, 1988: second generation sample [computer file]. Canberra: Data Archives, The Australian National University, 1989. (SSDA Study No. D536). - au.edu.anu.ada.ddi.00536; ADA Study 537 - Office of Multicultural Affairs. Issues in multicultural Australia, 1988: new arrivals sample [computer file]. Canberra: Data Archives, The Australian National University, 1989. (SSDA Study No. D537). - au.edu.anu.ada.ddi.00537; ADA Study 538 - Office of Multicultural Affairs. Issues in multicultural Australia, 1988: sample born in Malta, Vietnam or Lebanon [computer file]. Canberra: Data Archives, The Australian National University, 1989. (SSDA Study No. D538). - au.edu.anu.ada.ddi.00538

Social Science and Humanities Metadata

Universe	Persons aged 15 years and over living in private dwellings throughout Australia. Persons living in sparsely populated rural areas and isolated urban centres with a population of less than 10,000 are excluded.
Time Method	One-time cross-sectional study
Sampling Procedure	SAMPLING PROCEDURES - GENERAL SAMPLE Of the 217 collection districts (CDs) sampled, 133 are located in the major urban centres (centres with a population of 100,000 or more). The remainder are drawn from 12 urban and 9 rural primary sampling units (PSUs), each contributing 4 sample CDs. Urban PSUs are defined as urban centres with a population of 5,000 or more. Rural PSUs are defined as a combination of urban centres and localities with a population of less than 5,000 and contiguous rural CDs located within one or more Statistical Local Areas (SLAs). The area of each rural PSU is less than 6000 square kilometres. Rural PSUs with a population density of less than 0.575 persons per square kilometre are excluded from selection. Urban PSUs with a population of 5000-10000 surrounded by excluded PSUs are also excluded from selection. The number of sample CDs required in each State and Section of State is determined on the basis of a sample requirement of about 2500 private dwellings distributed in proportion to population size, with cluster sizes of 12 dwellings required from sample CDs in major urban centres and urban PSUs, and 10 dwellings required from sample CDs in rural PSUs. The distribution of sample CDs by State and Section of State is shown in the table below. Distribution of Sample by State and Section of State (PSUs x CDs X Eligible Dwellings) STATE SECTION OF STATE Major Urban Other Urban Rural NSW 50x12 4x3x10 4x4x10 Victoria 38x12 4x2x12 3x4x10 Queensland 16x12 4x2x12 3x4x10 Western Australia 12x12 2x2x12 2x3x10 South Australia 12x12 1x2x12 1x4x10 Tasmania 2x12 1x2x12 1x4x10 ACT 3x12 TOTAL CDs 133 36 54 TOTAL DWELLINGS 1596 408 540 Sample Cds within major urban centres were selected systematically with probability proportional to population size from all eligible CDs in each State stratum. Urban PSUs were selected systematically with probability proportional to population size from a list of eligible PSUs ordered geographically within State strata. Within each selected PSU, 4 CDs were selected systematically, again with probability proportional to size. Rural PSUs were selected systematically with probability proportional to population size from a list of eligible PSUs ordered geographically within State strata. Within each selected PSU 4 CDs were selected systematically, again with probability proportional to population size. Within each urban sample CD, two blocks of 6 occupied private dwellings were obtained.A random start for each block was selected using a skip of 3 occupied private dwellings between subsequent sample dwellings until 6 dwellings had been selected. In rural CDs, a single block of 10 adjacent occupied private dwellinga was selected from a random start. These procedures result in total sample of 2532 occupied dwellings with approximately equal probability of selection distributed proportionately across State and Section of State strata. Following contact with a sample dwelling, one person was selected from a list of all residents aged 15 years and over. In the case where the selected respondent was a woman not in the labour force, 50 per cent were excluded and no interview sought in that dwelling. This was expected to reduce the target sample to 2215 persons. A total of 2510 occupied private dwellings were listed of which 519 were not fully screened due to non-contact after 4 calls or refusals. Of the 1991 remaining dwellings 286 were ineligible because the selected respondent was a woman not in the labour force. Of the 1705 remaining eligible respondents 1309 (77%) were interviewed. Because of a high level of non-contact and non-response in a number of sample CDs, a supplementary sample was selected in those CDs having less than 5 completed interviews (59 CDs). In each of these areas, interviewers were told to list and screen a fixed number of dwellings starting from the last dwelling listed and skipping three occupied dwellings between each listing. Interviews were sought from any of the listed dwellings until the required number of interviews had been achieved. SAMPLING PROCEDURES - NESB AND SECOND GENERATION SAMPLE Of the 200 collection districts (CDs) sampled, 162 are located in the eleven major urban centres (centres with 100,000 or more). The remainder are drawn from 8 urban and 8 rural primary sampling units (PSUs), each contributing 2 or 3 sample CDs. Urban PSUs are defined as urban centres with a population of 5,000 or more. Rural PSUs are defined as a combination of urban centres and localitites with a population of less than 5,000 and contiguous rural CDs located within one or more Statistical Local Areas (SLAs). The area of each PSU is less than 6000 square kilometres. Rural PSUs with a population density of less than 0.575 persons per square kilometre are excluded from selection. Urban PSUs with a population of 5000-10000 surrounded by excluded rural PSUs are also excluded from selection. The number of sample CDs ineach State and Section of State was determined so as to give a sample distributed approximately in proportion to the size of the appropriate population. Within major urban centres, two independent samples of CDs were selected, one of the 76 CDs selected with probability proportional to the number of migrants of non-English speaking background (NESB sample CDs) and one of the 86 CDs selected with a probability proportional to the number of Australian born adult children of these migrants (2nd generation sample CDs). CDs where either the number of migrants of non-English speaking background or the number of adult Australian born children of these migrants was less than about 8% of the CD population were ineligible for selection. Other urban and rural PSUs were selected with the probabbility proportional to the number of adult Australian born children of migrants of non-English speaking background. Within NESB sample CDs, an estimate of the number of dwellings to be screened to locate 13 households with at least one migrant of non-english speaking background was derived. Two random start points were chosen in each Cd and the required number of adjacent dwellings listed and screened for eligible respondents. Within 2nd generation sample CDs in major urban centres, the number of dwellings to be screened was based on an estimate of the number required to locate 12 dwellings of adult Australian born children of NESB migrants. Again, screening was conducted from two random start points within each CD. In other urban and rural CDs, a target of 10 such dwellings was applied from a single random start. In general, dwellings were eligible for inclusion of they contained a resident aged 15 years or more who either was born in a non-English speaking country or was born in Australia and whose father or mother was born in a non-English speaking country. All eligible residents within the dwelling were listed and the respondent was selected at random using a Kish grid. In major urban CDs, a modified procedure was applied to 40% of the dwellings screened, allowing only adult Australian born children of NESB migrants to be selected. This procedure was implemented by having two versions of the screener questionnaire in different colours (yellow and pink) collated in specific order before they were given to the interviewers. Interviewers were instructed to keep the keep the screeners in that order as they allocated them to each listed address. A total of 13411 dwellings were listed and 11453 (85%) were fully screened for eligible respondents. In 8512 dwellings there was no eligible resident, giving a total of 2941 eligible dwellings. Where the selected respondent was a woman not in the labour force, 50 percent were excluded and no interview was sought in that dwelling. This reduced the number of eligible dwellings by 381 to 2560. SAMPLING PROCEDURES - NEW ARRIVALS SAMPLE The sample includes 86 collection districts (CDs) located in major urban centres (centres with a population of 100,000 or more). The target sample is distributed between States in proportion to estimates of the number of migrants of non-English speaking background arriving in Australia since July 1981 living in major urban centres. The number of sample CDs required in each State and the target sample in each sample CD is shoown in the table below. STATE # of sample CDs Target sample in CD Target sample NSW 35 21 735 Victoria 24 21 504 Queensland 6 19 114 Western Australia 11 14 154 South Australia 7 14 98 ACT 3 14 42 TOTAL 86 1647 Within each State stratum, CDs were selected systematically with probability proportional to the number of migrants of non-English speaking background arriving in Australia since July 1981 given by the 1986 Census of Population and Housing. CDs where the number of such migrants was less than about 8% of the CD population were ineligible. Within each sample CD, an estimate of the number of dwellings to be screened for eligible respondents was derived. If the target sample was not identified within the screening target, additional screening was carried out. Two random starts were selected in each CD and screening of adjacent dwellings carried out until target sample was identified. Following contact with an eligible dwelling, all eligible adilts were identigied and one person was selected at random using a Kish grid. In the case where the selected person was a woman in the labour force, 50 percent were excluded and no interview was sought in that dwelling. This was expected to reduce the target sample to about 1460 persons. SAMPLING PROCEDURES - BORN IN MALTA, VIETNAM AND LEBANON SAMPLES The sample consists of three independent subsamples of persons aged 15 years and over born in Malta, Vietnam and Lebanon respectively, and is restricted to those in State capital cities. The distribution of sample CDs by capital city for each of the three samples is given in the table below. COUNTRY OF BIRTH Capital City Malta Vietnam Lebanon Sydney 38 25 69 Melbourne 50 21 19 Adelaide 5 Perth 4 Brisbane 5 Total CDs 88 60 88 Target Sample 704 480 704 Within each capital city included and for each birthplace group, those Statistical Local Areas (SLAs) with a relatively high proportion of people in the birthplace group were identified, and only CDs within those areas with at least 40 persons in the appropriate birthplace group were eligible for selection. CDs were selected with probability proportional to number of people in the birthplace group in the CD. Within each selected CD, a random sample was selected and dwellings screened from there until 8 dwellings with at least one eligible adult resident had been located. One eligible resident was then selected using a Kish grid for inclusion in the sample. Number of units in original sample: 8605
Collection Mode	Use of existing records (The industry statistics for variables YEAR to CAPITAL are taken from The Australian Bureau of Statistics (ABS) publication Enterprise Statistics Australia Catalogue No. 8103.0 for various years. The industry statistics for variables OUTPT87 to RATIO6 and FTU86 to TEMP90 were requested from the ABS at the 3 digit ASIC level. The employer statistics for variables CODEDB to ASSETDB were supplied by Dun and Bradstreet. Statistics for government departments SALEX to ASSETX, and company statistics variables CODEZ to YEARZ were taken from their annual reports.)

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Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

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4. Use of the material is solely at my risk and I indemnify the Australian Data Archive and its host institution, The Australian National University.

5. The Australian Data Archive and its host institution, The Australian National University, shall not be held liable for any breach of this undertaking.

6. The Australian Data Archive and its host institution, The Australian National University, shall not be held responsible for the accuracy and completeness of the material supplied.

Confidentiality Declaration You may be asked to complete a signed General Undertaking form if this is the first time you will be downloading data from the Australian Data Archive.

Restrictions The depositor may be informed (by the archive) of use being made of the data, in order to comment on that use and make contact with colleagues of similar interests.

Citation Requirements All manuscripts based in whole or in part on these data should:
(i) identify the data and original investigators by using the recommended bibliographic reference to the data file;
(ii) acknowledge the Australian Data Archive and, where the data are made available through the Australian Data Archive by another archive, acknowledge that archive;
(iii) declare that those who carried out the original analysis and collection of the data bear no responsibility for the further analysis or interpretation of them.

Depositor Requirements In order to assemble essential information about archival resources and to facilitate the exchange of information about users’ research activities, individuals are required to email ADA (ada@anu.edu.au) with the bibliographic details and, where available, online links to any published work (including journal articles, books or book chapters, conference presentations, theses or any other publications or outputs) based wholly or in part on the material.

Disclaimer Use of the material is solely at the user's risk. The depositor, The Australian National University and the Australian Data Archive shall not be held responsible for the accuracy and completeness of the material supplied.

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