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samlet årgang - Økonomisk Institut - Københavns Universitet

samlet årgang - Økonomisk Institut - Københavns Universitet

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420<br />

Table 1. Number of marriages.<br />

NATIONALØKONOMISK TIDSSKRIFT 2005. NR. 3<br />

Number of marriages Number of persons Percentage<br />

1 10409 95.7<br />

2 459 4.2<br />

3 12 0.1<br />

4 2 0.0<br />

The information used in the analysis is gathered in the following way: I observe the<br />

individuals in 1980 where I have information about various personal characteristics<br />

and marriage market status. For each subsequent year I observe a new stream of data<br />

for the individuals. If the individual enters a relationship I also observe the personal<br />

characteristics of the partner. Since I am interested in marriages, and especially the<br />

personal characteristics during the marriage, I disregard left censored marriages. The<br />

individuals were between 15 and 25 years of age in 1980, and since I disregard individuals<br />

already married, the first marriage of the unit of observation is observed for the<br />

majority of the individuals (some may, of course, already be divorced). The partners are<br />

not restricted by age, and it is therefore more likely that they have experienced more<br />

marriages at the time I observe them.<br />

In the sample there are 10822 marriages during the period. The number of marriages<br />

per person is distributed as presented in Table 1.<br />

Only around 4 percent experience more than one marriage during the sample period.<br />

3.1. Explanatory variables<br />

Table 2 contains descriptive statistics of the variables used in the analysis. The mean<br />

and standard deviation of the explanatory variables are the calculated at start of the marriage.<br />

All variables are, however, allowed to vary during the marriage spell.<br />

The main variabels of interest are a dummy indicating whether the couple premaritally<br />

cohabited and four variables representing differences in expected and realised earnings.<br />

The latter variables are constructed in the following manner. First, an earnings<br />

equation is estimated by OLS. In this first step, earnings are regressed on education,<br />

age, geographical belonging, number of kids, level of unemployment and sickness. In<br />

the second step, the predicted earnings in a given year are compared to the actual earnings<br />

to define four variables:<br />

∧ ∧<br />

Positive deviation i =(Earnings i,t – Earnings i,t ) if Earnings i,t > Earnings i,t ,<br />

∧ ∧<br />

Negative deviation i = (Earnings i,t – Earnings i,t ) if Earnings i,t Earnings i,t<br />

where i = husband, wife.

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