Статья: Личные доходы супругов в структуре бюджетов семей в 1990-2010-е гг.

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39. Nesvetailova A. 2015. The Offshore Nexus, Sanctions and the Russian Crisis. IAI Working Papers 15. URL: http://www.iai.it/en/pubblicazioni/offshore-nexus-sanctions-and-russian-crisis

40. Nock S. L. 2001. The Marriages of Equally Dependent Spouses. Journal of Family Issues. 22 (6): 755-775.

41. OECD. 2016. Dare to Share: Germany 's Experience Promoting Equal Partnership in Families. Paris: OECD Publishing. URL: http://dx.doi.org/10.1787/9789264259157-en

42. Pahl J. 1989. Money and Marriage. Houndmills, UK: Macmillan Education.

43. Pahl J. 1995. His Money, Her Money: Recent Research on Financial Organization in Marriage. Journal of Economic Psychology. 16 (3): 361-376.

44. Pollak R. A. 2002. Gary Becker 's Contributions to Family and Household Economics Choices. National Bureau of Economic Research Working Paper 9232. URL: http://www.nber.org/papers/w9232

45. Raley S. B., Mattingly M. J., Bianchi S. M. 2006. How Dual Are Dual-Income Couples? Documenting Change from 1970 to 2001. Journal of Marriage and Family. 68 (1): 11-28.

46. Statistics Canada. 2016. The Rise of the Dual-Earner Family with Children. Release date: May 30, 2016. URL: http://www.statcan.gc.ca/pub/11-630-x/11-630-x2016005-eng.htm

47. Statistics Canada. 2018. Characteristics of Families, Single-Earner and Dual-Earner Census Families. URL: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1110002801

48. Stier H., Mandel H. 2009. Inequality in the Family: The Institutional Aspects of Women's Earning Contribution. Social Science Research. 38 (3): 594-608.

49. U.S. Bureau of Labor Statistics. 2014. Working Wives in Married-Couple Families, 1967-2011. Release date: June 02, 2014. URL: https://www.bls.gov/opub/ted/2014/ted_20140602.htm

50. U.S. Bureau of Labor Statistics. 2017. Employment Characteristics of Families. Summary. Economic News Release, April 20, 2017. USDL-17-0444. URL: https://www.bls.gov/news.release/famee.nr0.htm

51. Vogler C. 1994. Money in the Household. In: Anderson M., Bechhofer F., Gershuny J. (eds.). The Social and Political Economy of the Household. Oxford: Oxford University Press; 225-266.

52. Waite L. J., Nielsen M. 2001. The Rise of the Dual-Worker Family, 1963-1997. In: Hertz R., Marshall N. L. (eds). Working Families. The Transformation of American Home. Oakland, CA: University of California Press; 23-41.

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Приложение

Таблица П.1

Параметры логистической регрессии для оценки вероятности событий

(1 -- вклад личных доходов мужчины в семейный бюджет выше вклада личных доходов женщины и (или) из личных доходов есть только доходы мужчины; 0 -- остальные варианты структуры семейных бюджетов по вкладу личных доходов, 2016 г.)

Независимые переменные

2016 г.

Статус занятости женщины

В-коэффициент

Wald-статистика

Значимость Wald-статистики

Exp(B)

ДR2

Статус занятости женщины

Работает*

102,057

0,000

23,9%

Работающий пенсионер

- 1,335

27,885

0,000

0,263

Неработающий пенсионер

1,293

21,405

0,000

3,644

Не работает, не пенсионер

3,401

32,578

0,000

30,000

Другое

2,600

12,804

0,000

13,460

На основном месте работы у мужчины есть невыплаченные деньги

Есть задолженность предприятия*

11,654

0,003

1,3%

Нет задолженности предприятия

1,227

11,079

0,001

3,410

Работает не на предприятии

1,365

9,698

0,002

3,914

Образование мужчины Незаконченное среднее*

13,278

0,004

1,8%

Законченное среднее

0,103

0,168

0,682

1,109

Законченное среднее специальное

0,593

4,453

0,035

1,809

Законченное высшее

0,719

7,076

0,008

2,052

Наличие у мужчины доходов от труда помимо основного места работы

Есть дополнительный доход от труда*

5,715

0,017

0,6%

Нет дополнительного дохода от труда

- 0,961

5,715

0,017

0,382

Официальность трудоустройства мужчины на основном месте работы

5,123

0,024

0,5%

Да, официально*

Нет, не оформлен официально

- 0,754

5,123

0,024

0,470

Константа

0,161

0,085

0,771

1,175

R-квадрат Нэйджелкерка = 0,281;

верно предсказанных событий 66,6%

Примечание: * -- контрастные (референтные) значения переменных.

Таблица П. 2

Параметры логистической регрессии для оценки вероятности событий

(1 -- вклад личных доходов женщины в семейный бюджет выше вклада личных доходов мужчины и (или) из личных доходов есть только доходы женщины; 0 -- остальные варианты структуры семейных бюджетов по вкладу личных доходов, 2016 г.)

Независимые переменные

В-коэффициент

Wald-статистика

Значимость Wald-статистики

Exp(B)

ДR2

Статус занятости мужчины

Работает*

97,656

0,000

25,8%

Работающий пенсионер

- 0,829

6,433

0,011

0,437

Неработающий пенсионер

1,678

35,264

0,000

5,357

Не работает, не пенсионер

2,317

49,401

0,000

10,146

Другое

0,972

,558

0,455

2,644

Этап жизненного цикла семьи

Молодая пара (женщине до 35 лет) без детей*

50,314

0,000

6,2%

Пара с (младшим) ребёнком до 3-х лет

- 0,890

2,864

0,091

0,411

Пара с (младшим) ребёнком 3-6 лет

- 0,056

0,019

0,892

0,945

Пара с (младшим) ребёнком 7-15 лет

- 0,262

0,423

0,516

0,769

Пара с (младшим) ребёнком 16 лет и старше

0,533

1,523

0,217

1,704

Взрослая пара (женщине 36-45 лет), в домохозяйстве нет детей

0,538

1,158

0,282

1,712

Взрослая пара (женщине больше 45 лет), в домохозяйстве нет детей

1,259

9,966

0,002

3,522

Наличие у женщины доходов от труда помимо основного места работы

Есть дополнительный доход от труда*

15,984

0,000

1,8%

Нет дополнительного дохода от труда

- 1,317

15,984

0,000

0,268

Наличие у женщины подчинённых на основном месте работы

Есть подчинённые*

7,068

0,008

0,8%

Нет подчинённых, не работает

- 0,590

7,068

0,008

0,555

Константа

0,139

0,075

0,784

1,149

R-квадрат Нэйджелкерка = 0,346;

верно предсказанных событий 75,6%

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