(Top)SummaryScorecardWhat this paper claimsWhat evidence it offersWhat's goodWhat's wrong with itWhat would change our mindScoring ExplanationKey ClaimsReferences

His or Her Divorce? The Gendered Nature of Divorce and its Determinants

M. Kalmijn (2005) · European Sociological Review

10.1093/esr/jci052


Summary:

Using a Dutch survey of about 2,200 people, the paper argues that knowing which spouse started a divorce reveals why common risk factors — a working wife, money trouble, children, a poor match — actually work, and concludes that most of them operate through the wife's decision. The descriptive results are believable: women are named as initiator more often, and the risk factors do predict divorce. The explanations of why are not, because who 'initiated' comes from one ex-spouse's memory, the two sexes disagree by 30 points on the answer, and the comparisons the theories hinge on mostly could not be told apart from zero.

What this paper claims

Divorces can be sorted into "his," "hers," and "theirs" depending on who first decided to leave, and doing so tells you which theory of divorce is right. The authors conclude that a wife's job raises divorce risk by making her independent, that money problems work through the wife's disapproval of a failing breadwinner, that children hold marriages together mainly by raising the cost to fathers, and that most risk factors act through the wife's decision rather than the husband's.

What evidence it offers

A retrospective survey of Dutch adults interviewed in 1998 about their first marriages, with divorced people deliberately over-sampled (Kalmijn and Poortman 2006). Each divorce is labelled wife-initiated, husband-initiated, or joint based on one ex-spouse's answer to a single question. The other spouse was never asked. The model then checks whether each risk factor predicts one type of divorce more than another.

Everything rests on that labelling, and it is weak. Divorced women say the wife started it 76% of the time; divorced men say 46%. The headline "women are twice as likely to initiate" averages those two figures, assuming both sexes are equally biased. And when respondents said both spouses wanted the divorce, only a quarter of those cases were coded "joint" — so the category three of the four theory tests depend on is mostly empty by construction. A theory that predicts joint divorces will look wrong in this data whether or not it is.

What's good

Modelling the type of divorce rather than just its occurrence is a good methodological idea, and the predictions were stated before the results. The paper is candid about the reporter disagreement, the under-counted joint category, and the power imbalance between divorce types. It reports results that went against its hypotheses, including a contradiction with the authors' own earlier work. The descriptive findings are sound: wives' hours, early money troubles, marrying young, and short courtships predict divorce; children protect against it; both sexes name the wife as initiator more often.

What's wrong with it

The outcome is a one-sided retrospective label, the two reporter groups disagree sharply on it, and the joint category — which three of the four theory tests need — is under-filled by construction. That one fact undermines the design, the measurement, the statistics, and the reasoning. The paper acknowledges each piece and then draws conclusions as if none of it applied.

The financial-problems conclusion rests on differences the data cannot tell from zero. The children conclusion rests on one marginal difference out of six. The employment conclusion cannot rule out specialization, because the wife-versus-joint comparison showed no difference. It cannot rule out reverse causation either, because wives who plan to leave may work more beforehand. The data bound the "twice as likely" headline between 1.1 and 4.4; the figure depends on an averaging assumption nothing motivates.

What would change our mind

  • Both spouses' accounts of who initiated, for the same divorces, with agreement rates reported — up if they agree, down if they don't.
  • The full model run separately for male respondents, so the financial and children contrasts can be checked from the other side — up if the patterns replicate.
  • Standard errors or confidence intervals for the joint-divorce coefficients — up if they exclude the wife-initiated estimates, down if they overlap.
  • Wife's working hours lagged by several years before separation — up if the effect survives.
  • Replication in a dataset where initiative is measured close to the time of separation rather than years later.
  • A direct test of whether employed women describe past decisions in more agentic terms regardless of what happened — down if they do.

Scoring Explanation

Study design

The competing-risks setup is a reasonable way to ask whether, say, financial trouble predicts a wife-started divorce more than a husband-started one, and the sample is large. But the outcome is one ex-spouse's unverified recollection, and the two reporter groups disagree by 30 percentage points on it. The paper's validation check compares two answers from the same person in the same interview, which tests consistency of a story, not its truth. The joint category, needed to test the specialization, economic-strain, and match-quality theories, is mostly empty by construction. The wife's-hours analysis uses female respondents only, so whether a wife's job predicts her decision or just her claim of initiative cannot be told apart. The design supports description, not the mechanism conclusions drawn from it.

Statistical analysis

The model choice (multinomial logit on person-years approximating a competing-risks model) is appropriate, and the paper reports formal Wald tests for coefficient differences across divorce types rather than comparing significance stars. No standard errors, confidence intervals, or odds ratios appear, so a reader cannot judge whether the joint-equation estimates (167 events in the full model, 73 in the women-only model) are compatible with the wife-equation estimates. The paper runs roughly 33–36 uncorrected pairwise contrasts; the p = 0.07 and 0.09 results it leans on would not survive correction. The financial-problems mechanism is inferred from six pairwise tests, none significant. Reporter sex is the largest coefficient in the model but enters only as a main effect, with no interaction tests. Two inconsistencies between the full and women-only models (empty nest, duration of acquaintance) go undiscussed.

Construct validity

The chain of inference is: spouse with more to gain → takes initiative → is reported as initiator. No link is verified against the other spouse or any external record. The descriptive findings survive: both sexes name the wife more often, and the risk factors do predict divorce. But the mechanism claims depend on reading "wife-initiated" as "the wife's interests drove it," when the data equally support "a woman said she left." The actual mechanisms — independence, blame, exit costs — were never measured. Because the joint channel is closed by construction, the couple-level theories were never tested.

Reasoning quality

The predictions were stated in advance. When they missed, an auxiliary hypothesis — that women are more sensitive to marital problems — is invoked whenever the wife's effect is larger and dropped whenever the husband's is, so no her-greater-than-his result can count against a couple-level theory. The results section says the financial-problem differences are not distinguishable from zero and the authors are "tempted to conclude." The conclusions drop the hedge, and the abstract says theories were "refuted." Across the four central factors, about thirteen wife-versus-husband comparisons were run: two favoured her, two favoured him, nine showed no difference. The summary that "most determinants work more strongly through her divorce" does not describe that tally. The age-gap result reversed the prediction and was still called clear support.

Transparency

Question wording, all scale items, funding, and the reporter disagreement are printed in full, so a reader can find the weaknesses in the paper's own tables. No data or code is available, no ethics statement appears, and pre-registration was not practised in the field at the time. The limitations paragraph names the right problem (retrospective initiative reports may not track interests) and then dismisses it with an untested argument about self-esteem. The two most damaging facts — the 30-point reporter disagreement and the under-coded joint category — appear in the results but are not carried into the conclusions.

Citation integrity

Citations mostly frame theories rather than carry evidence, and the one checked against full text is represented fairly. The paper discloses its own earlier finding that contradicts its present conclusion. Weaknesses: The "women are more sensitive to marital problems" hypothesis, which rescues several missed predictions, rests on one US study (Amato and Rogers 1997). The opening claim of novelty ignores a substantial literature on who initiates divorce (Kitson 1992; Braver, Whitley and Ng 1993; Brinig and Allen 2000); Brinig and Allen offer a rival explanation for why wives initiate more — custody expectations — that the paper never considers. Studies complicating the independence reading of wives' employment (Sayer and Bianchi 2000; Schoen et al. 2002) are absent.

Independence

Funded by the Dutch national science foundation; both authors are academics with no industry ties. The paper reports results against its own predictions. The only pressure is that the lead author designed the survey and the initiative question, and the paper's selling point is that the method works. That shows up as conclusions outrunning the tests, not as any tilt toward an outside interest.

Key Claims

Not supported

Women are about twice as likely as men to initiate divorce.

Both men and women in the survey named the wife as the one who left more often, but the two groups disagreed sharply — women said the wife started it 76% of the time, men said 46% — and the 'twice as likely' figure comes from splitting that difference on the untested assumption that both sexes are wrong by equal amounts; the real ratio could be anywhere from barely more than even to over four to one.

Not supported

A wife's paid work raises divorce risk because it makes her independent enough to leave, not because her husband resents it.

Women who worked more hours were more likely to say they were the one who left, but this analysis relied only on women describing their own divorces, so it cannot distinguish a wife who left because of her job from a wife who simply describes herself as the one who chose to leave, and the rival explanation the paper claims to rule out (that working wives erode benefits both spouses share) was tested in a category too small to show anything.

Not supported

Children keep fathers in marriages more than mothers, because fathers fear losing contact with their kids after divorce.

Children, especially young ones, clearly made divorce less likely for both spouses, but the difference between how much they held back husbands versus wives was too small to tell apart from chance, and the study never measured what either spouse feared losing.

Not supported

Money troubles push wives to divorce because they blame husbands for failing as breadwinners, rather than straining both spouses equally.

Financial problems did raise divorce risk, but the differences between wife-started, husband-started, and mutual divorces could not be told apart from zero, blame was never measured, and the paper itself concedes the money-problem questions may pick up gambling or debt rather than income.

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