| Title |
The Effect of Same-Sex Marriage Laws on Different-Sex Marriage: Evidence From the Netherlands
|
|---|---|
| Published in |
Demography, November 2013
|
| DOI | 10.1007/s13524-013-0248-7 |
| Pubmed ID | |
| Authors |
Mircea Trandafir |
| Abstract |
It has long been argued that the legalization of same-sex marriage would have a negative impact on marriage. In this article, I examine how different-sex marriage in the Netherlands was affected by the enactment of two laws: a 1998 law that provided all couples with an institution almost identical to marriage (a "registered partnership") and a 2001 law that legalized same-sex marriage for the first time in the world. I first construct a synthetic control for the Netherlands using OECD data for the period 1988-2005 and find that neither law had significant effects on either the overall or different-sex marriage rate. I next construct a unique individual-level data set covering the period 1995-2005 by combining the Dutch Labor Force Survey and official municipal records. The estimates from a discrete-time hazard model with unobserved heterogeneity for the first-marriage decision confirm the findings in the aggregate analysis. The effects of the two laws are heterogeneous, with presumably more-liberal individuals (as defined by their residence or ethnicity) marrying less after passage of both laws and potentially more-conservative individuals marrying more after passage of each law. |
X Demographics
The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 20% |
| Netherlands | 3 | 15% |
| United Kingdom | 2 | 10% |
| Spain | 1 | 5% |
| Japan | 1 | 5% |
| Canada | 1 | 5% |
| Unknown | 8 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 85% |
| Scientists | 2 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 17% |
| Researcher | 6 | 14% |
| Student > Doctoral Student | 5 | 12% |
| Student > Master | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Other | 7 | 17% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 14 | 33% |
| Economics, Econometrics and Finance | 10 | 24% |
| Psychology | 3 | 7% |
| Philosophy | 2 | 5% |
| Business, Management and Accounting | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 11 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 45. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2023.
All research outputs
#952,551
of 25,800,372 outputs
Outputs from Demography
#261
of 2,024 outputs
Outputs of similar age
#8,419
of 229,649 outputs
Outputs of similar age from Demography
#6
of 17 outputs
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