FAMILY FORMATION MATTERS FOR GENDER BALANCE IN POLITICS

A large body of research in political science seeks to explain women's underrepresentation in political assemblies. Following the work of Norris and Lovenduski (Reference Norris and Lovenduski1995), many scholars focus on the factors that explain why women run for political office or why people support female candidates. Such explanations highlight the importance of traditional gender norms, which can account for both the lack of supply and the low demand for women in politics through several different channels. For example, traditional norms can lower supply by affecting women's ambition to run for office (Fox and Lawless Reference Fox and Lawless2004; Lawless Reference Lawless2005), putting constraints on female politicians (Bernhard, Shames, and Teele Reference Bernhard, Shames and Teele2020; Folke and Rickne Reference Folke and Rickne2020), and they can lower the demand for women in politics, making voters less likely to vote for female candidates (Gimenez et al. Reference Gimenez, Karpowitz, Quin Monson and Preece2018; Teele, Kalla, and Rosenbluth Reference Teele, Kalla and Rosenbluth2018).

One reason why traditional gender norms and family structures may constrain women from political activity is that identity—the way people think of themselves—sets social expectations of individual behavior. Akerlof and Kranton (Reference Akerlof and Kranton2000) present a model in which utility is gained by complying with social norms, such as a man earning more than his wife and doing a smaller share of the household tasks. If a woman earns more than her husband, the utility of marriage decreases by not complying with the norm. Household utility can be increased if the woman takes on more than half of the housework. Thus, if gender norms are traditional, it is expected that women in dual-earning households will do a larger share of the housework. When women and men are equally likely to work full-time, but women spend more time on household tasks, we can expect that women will have less time for other activities, such as running for local office.Footnote ¹

A traditional family structure, also in the case where dual-earner households are common, is expected to put larger constraints on women's possibilities for political participation than on men's. Folke and Rickne (Reference Folke and Rickne2020) show that women who are promoted to top political positions are more likely to get divorced than men in the same situation. In addition, they show that it is primarily women living in gender-traditional marriages who experience divorce as a result of promotion. Bernhard, Shames, and Teele (Reference Bernhard, Shames and Teele2020) show that among politically ambitious women—the likely candidates—women who are mothers and/or breadwinners are less likely to actually run for office. Higher risk of personal costs when running for political office can influence women's incentives to become politicians.

We know from previous research that traditional gender norms and gender-traditional family structures help explain women's underrepresentation in politics. However, it is less clear what explains variations in such traditional norms and structures.

SOCIAL NORMS PERSIST OVER TIME

Recent literature in political science highlights that historical institutions and events matter for present-day political attitudes (Acharya, Blackwell, and Sen Reference Acharya, Blackwell and Sen2016; Homola, Pereira, and Tavits Reference Homola, Pereira and Tavits2020; Mazumder Reference Mazumder2018) and institutions (Broms and Kokkonen Reference Broms and Kokkonen2019). At the same time, a growing literature in economics is concerned with the historical origins of gender norms (Alesina, Giuliano, and Nunn Reference Alesina, Giuliano and Nunn2013; Giuliano Reference Giuliano2015; Hansen, Jensen, and Skovsgaard Reference Hansen, Jensen and Skovsgaard2015; Olivetti and Petrongolo Reference Olivetti and Petrongolo2016). Agriculture, demographics, geography, preindustrial societal characteristics, and family structures, among other things, have long-term consequences for modern-day gender equality (see Giuliano Reference Giuliano, Averett, Argys and Hoffman2017 for an overview).

In an influential study, Alesina, Giuliano, and Nunn (Reference Alesina, Giuliano and Nunn2013) argue that gendered patterns of preindustrial labor division can explain traditional gender roles today. In agricultural societies using the plough, for example, there was a sharper division of labor between men (strong enough to use the plough) and women, compared with agricultural societies not using the plough, where a gendered division of labor was less beneficial (Boserup Reference Boserup1970). The use of the plough has had a long-term impact on women's labor force participation (Alesina, Giuliano, and Nunn Reference Alesina, Giuliano and Nunn2013) and family formation patterns (Giuliano Reference Giuliano2015).

In addition, scholars have highlighted the long-term effect of historical population sex ratios on contemporary attitudes. For example, Brodeur and Haddad (Reference Brodeur and Haddad2018) find that the U.S. counties that were part of the nineteenth-century gold rush exhibit more tolerant attitudes toward homosexuality today. They suggest that extremely male-biased sex ratios and the presence of fewer religious institutions during the gold rush led to persistent liberal values and lower levels of religiosity. Another study by Baranov, De Haas, and Grosjean (Reference Baranov, De Haas and Grosjean2018) uses eighteenth- and nineteenth-century convict transportation in Australia to study the effects of male-biased sex ratios. They find that areas that were male-biased in the past were more likely to vote against same-sex marriage in a recent referendum. They argue that the areas that were male-biased in the past developed strong masculinity norms that have persisted over time. Thus, the results are contradictory, showing that a history of male-biased sex ratios in some cases leads to more liberal values, but in other cases to less liberal values. However, what is common in both studies is that historical events and preconditions have long-lasting impacts on social norms.

Previous research has studied how history matters for a wide range of present-day outcomes, in both economics and political science. One of the main takeaways from this literature is that historical preconditions can affect social norms, which can be persistent over extensive periods of time. Yet, the possible link between historical family formation and the present-day gender balance in political representation has not been given much attention.

FAMILY FORMATION TRANSMITS NORMS ACROSS GENERATIONS

Growing up in a gender-equal household may influence one's future choices. Studies show that parental role models matter for women's labor force participation, among other things, and that attitudes about family roles are transmitted from parent to child. Intergenerational transmission of norms can thus be seen as a mechanism that explains how social norms persist over long periods.

The literature on cultural differences in gender norms shows that individuals who grow up in the same country but with different parental backgrounds have different attitudes about gender roles, different labor force participation rates, and different fertility rates (Antecol Reference Antecol2000; Blau et al. Reference Blau, Kahn, Liu and Papps2013; Fernández and Fogli Reference Fernández and Fogli2009). The argument is that if attitudes and social norms did not influence an individual's life choices, moving from one context to another would lead to an instant change in behavior. However, if social norms influence one's behavior, changing the context one lives in will not (entirely) change one's attitudes and opinions.

One influential example showing that attitudes toward gender roles are transmitted across generations through family formation is provided by Fernández, Fogli, and Olivetti (Reference Fernández, Fogli and Olivetti2004). These authors study how random shocks to one generation of women's labor market participation influences the labor market participation of the next generation of women. More specifically, they show that men who grew up with a working mother are more likely to form dual-earner relationships later in life. Fernández (Reference Fernández2013) develops a theoretical argument for how norms matter for women's increasing labor market participation over time. The parental generation provides information that the next generation of women uses to compare the cost of working with the benefits of the labor earnings. The cost of working is influenced by social norms about gender roles.

This literature shows that family formation plays an important role in the transmission of gender norms across generations. However, the main focus is the labor market rather than gender balance in politics.

STUDYING LOCAL-LEVEL VARIATION IN SWEDEN

The Swedish case should in many ways be ideal to test whether historical persistence matters for present-day gender balance in politics. First, Sweden has no electoral law that requires political assemblies to be gender balanced (Freidenvall Reference Freidenvall2006). Second, Sweden's 290 municipalities have independence when it comes to taxation and the provision of welfare services, and they employ a large share of the Swedish workforce. Third, Sweden has numerous policies aimed at easing the work-family trade-off for women, such as individual taxation and subsidized child care (Boschini et al. Reference Boschini, Hakansson, Rosén and Sjogren2011). Thus, there is variation in the dependent variable and a degree of municipal independence. However, the active promotion of gender equality by the state should make Sweden a relatively difficult test. If we can find persistent structures in the Swedish case, where numerous policies at the national level have promoted gender equality, it is likely that such persistent structures are also prevalent in countries where such policies are less common.

Swedish municipalities are governed by municipal councils, to which politicians are elected through a proportional representation system using party lists with nominated candidates.Footnote ² If women are placed in nonelectable rankings on the party lists, it is possible to nominate a large proportion of women without affecting the gender balance among elected politicians.

On average, Swedish municipalities have achieved gender balance in political representation, yet there is a large variation in the gender composition of the municipal councils. Historically, the number of women in Swedish politics was very low until the 1970s. Since then, two periods have seen sharp increases in women's representation. First, women's representation in Parliament increased from 14% in 1970 to 28% in 1979.Footnote ³ Following that, many political parties introduced so-called zipper quotas, causing women's representation in the municipal councils to increase from an average of 33% in 1991 to 41% in 1998. These developments can be seen as evidence that numerous national-level policies have successfully promoted gender equality over the years; however, at the local level, the differences in gender balance in politics are substantial, ranging from 9% to 50% in the early 1990s and from 30% to 57% in 2014.

Political parties are important for explaining local variation in women's political representation. Some parties are more likely than others to nominate women. In municipalities with a large presence of such parties, it is likely that there will be more women (Freidenvall Reference Freidenvall2006). However, although many parties have used some sort of soft quotas since the 1970s, such as party recommendations on gender balance, compliance with these strategies has not always been perfect at the local level (Freidenvall Reference Freidenvall2006).Footnote ⁴ In this article, I study the time period from 1982, which follows the first wave of increasing women's representation, to 2014.

Figure 1 shows the variation in the proportion of women elected and nominated over time across Swedish municipalities. The average increased substantially between 1991 and 1994 (when many of the parties introduced stricter quotas). Although the average is high, there is substantial variation across municipalities, and this is the case in both the earlier and later years included.

Figure 1.

Gender balance in local politics. Proportion of women in local office and among candidates, all elections 1988–2014. The gray lines represent municipalities, and the white line shows the average of all municipalities.

Source: Statistics Sweden.

THE PERSISTENCE OF SOCIAL NORMS, FAMILY FORMATION, AND GENDER BALANCE IN POLITICS

In this article, I aim to provide new insights into why the gender composition of political assemblies is not easily changed. In spite of numerous national-level policies promoting gender equality, there is extensive variation in gender equality in political representation across Swedish municipalities. I use this variation to study whether history matters for gender balance in local politics today. I suggest that historical social norms help explain the persistence of male overrepresentation in politics and that family formation plays a key role in transmitting social norms across time.

I use data from before and after the introduction of democracy. Reaching as far back as the eighteenth and nineteenth centuries is advantageous as local variations in family formation and social norms at that time were not influenced by democratic policy decisions. Moreover, if there were differences in social norms across municipalities at that time, those differences cannot be transmitted across time through variation in gender balance in local political assemblies. However, family formation is, by definition, present in all generations, regardless of who decides policy, and could transmit such norms across time. This logic is presented in the following diagram. There is no direct arrow from historical social norms to gender balance in politics—the time gap makes the direct relationship logically unreasonable.

I study the relationships between historical social norms, family formation, and gender balance in politics separately. I have theoretical expectations for all three correlations. The first hypothesis concerns the (indirect) relationship between historical social norms and gender balance in politics today. I expect there to be fewer women in politics in municipalities with a history of more male-biased social norms. The other two hypotheses focus on how this indirect relationship can be explained—in other words, the suggested mechanism of norm transmission. The second hypothesis concerns the present-day relationship between family formation and gender balance in politics. As family constraints may hinder women's political representation, I expect more traditional patterns of family formation to correlate with low numbers of women in politics. The third hypothesis concerns the relationship between historical social norms and present-day family formation. I expect more traditional patterns of family formation today in municipalities with a history of more male-biased social norms.

DATA

I use both contemporary administrative data from Statistics Sweden (all election years, 1982–2014) and historical data from Swedish parish registers (1749–1859). The data were combined using geocodes from the Swedish National Archives (Riksarkivet). The data were chosen with two main considerations in mind. The first and most important was to cover the longest time span possible. The longer the time span, the less likely it is that we will find persistence. If there is persistence over such a long time period, persistence is also likely across a shorter time span. Second, to keep the measurements as coherent as possible, I chose to rely on a single source of data for each time period.

The data for the contemporary analysis consist of individual-level register data kept by Statistics Sweden on the Swedish population, political candidates, and elected politicians for all election years from 1982 to 2014. The data contain information on all politicians nominated and elected to municipal councils in all elections from 1982 to 2014 (more than 200,000 unique individuals), and they are linked to registers of the working-age population (1988–2014) that contain information on education, income, and age, among other things.Footnote ⁵ Moreover, the data permit linking married individuals to each other.Footnote ⁶ The main benefits of the data are that it is possible to construct detailed measures of local variation of family formation structures and to measure gender balance among the nominated and elected politicians in all Swedish municipalities. Aggregating the data to the municipal level gives more than 2,700 observations from 290 municipalities in 10 elections.Footnote ⁷

The historical analysis uses data from Swedish parish registers (Tabellverket 2018). Tabellverket was founded in 1749 by the Swedish state with the aim of collecting population statistics. The data were collected for approximately 2,500 parishes by parish priests and sent to the central authorities. In 1859, Tabellverket's mission was taken over by Statistics Sweden. No other country except Finland has continuous population data reaching as far back in time. Containing detailed demographic statistics of the Swedish population collected from 1749 to 1859, the data permit analyses of demographic developments at the local level during early industrialization and before the introduction of democracy. The data contain information on demographics, mortality, migration, and occupation, divided by sex, age, and civil status.Footnote ⁸ Using all available data from the time period, the historical data are aggregated to areas that correspond with the borders of present-day municipalities.

MEASUREMENTS

The two dependent variables used in the analysis are gender balance in political representation and gender balance in political candidacy. Gender balance in descriptive political representation is measured as the proportion of women among elected municipal councilors, ${{w_{mt}^e } \over {t_{mt}^e }}$, where $w_{mt}^e$ is the number of women elected in a specific municipality in an election and $t_{mt}^e$ is the total of elected individuals in a specific municipality in an election. Gender balance in political candidacy is measured as the proportion of women among individuals nominated to municipal councils, ${{w_{mt}^n } \over {t_{mt}^n }}$, where $w_{mt}^n$ is the number of women nominated in a municipality in an election and $t_{mt}^n$ is the total of nominated individuals in a municipality in an election.

To measure social norms of family formation, historically and today, I rely on a number of proxy variables measuring family formation structures. The main benefits of the proxy variable approach are that I can use the same types of measurements for both the present-day and historical data analysis and that Swedish administrative registers provide high-quality data. Another more direct approach to measuring social norms would be to use survey data. However, for obvious reasons, there are no such data available for the historical period, and using contemporary survey data would yield very few answers in smaller municipalities. Previous research has found a correlation between marriage rates among skilled and unskilled women and gender norms measured in surveys (Bertrand et al. Reference Bertrand, Cortés, Olivetti and Pan2016); thus, the proxy variables should be valid measurements of gender norms.

The main independent variables are two proxy variables of historical social norms of family formation: the proportions of women and unmarried women in the population. Previous research on the historical sex ratio shows that where women outnumbered men, women were more likely to take up what is traditionally seen as male work, thus altering gender roles (Manning Reference Manning1990; Teso Reference Teso2018). The proportion of unmarried women in the population can be seen as an extension of this logic: it is expected that where there is a large proportion of unmarried women, gender norms are less traditional (Pessin Reference Pessin2018). Moreover, marriage formation patterns are often seen as a result of geographic differences in social norms in the case of Swedish history. For example, Lundh (Reference Lundh2013) finds that social norms play an important role in explaining variation in women's age at first marriage in Sweden from 1870 to 1900, and Morgan-Collins and Natusch (Reference Morgan-Collins and Natusch2020) show that the type of neighborhood is crucial to women's voting participation in early democracy. In the absence of historical survey data, I measure the proportion of women as ${{w_m} \over {all_m}}$, where w _m is the number of women in a municipality and all _m is the total population in a municipality. I measure the proportion of unmarried women as ${{un_m^w } \over {all_m^w }}$, where $un_m^w$ is the number of unmarried women and all _mw is the total number of women in a municipality.

The main variables in the present-day analyses are three measurements of family formation: marriage rate, divorce rate, and age gap in couples. Previous research has found that marriage rates are commonly lower where gender norms are less traditional (Pessin Reference Pessin2018), since women face difficulties in combining work and family life when entering the labor market (McDonald Reference McDonald2000).Footnote ⁹ I measure the marriage rate as ${{w_{mt}^m } \over {w_{mt}^a }}$, where $w_{mt}^m$ is the number of married women in a municipality and $w_{mt}^a$ is the number of women in a municipality at each election year. A second commonly used measure of traditional family formation is the divorce rate among women. It is expected that divorce rates will be higher where norms are less traditional (Aguilar-Gomez and Benshaul-Tolonen Reference Aguilar-Gomez and Benshaul-Tolonen2018; Bertrand, Kamenica, and Pan Reference Bertrand, Kamenica and Pan2015; Stevenson and Wolfers Reference Stevenson and Wolfers2007).Footnote ¹⁰ I measure the divorce rate as the proportion of women who are divorced, ${{w_{mt}^d } \over {w_{mt}^a }}$, where $w_{mt}^d$ is the number of divorced women in a municipality and $w_{mt}^a$ is the number of women in a municipality at each election year. A third commonly used measurement of traditional family formation is the age gap between spouses. It is expected that the larger the age gap, the more traditional the social norms of family formation. A large age gap in this literature is interpreted as women having less bargaining power in the relationships (see Rotering and Bras Reference Rotering and Bras2019 for an overview). I measure the age gap as the average age difference between married women and their spouses, ${{age_{mt}^{mw} -age_{mt}^s } \over {w_{mt}^m }}$, where $age_{mt}^{wm}$ is the age of a married woman, $age_{mt}^s$is the age of her spouse, and $w_{mt}^m$ is the total number of married women in a municipality at the time of an election.Footnote ¹¹

In addition to the main variables of interest, I include a number of geographical time-invariant covariates and historical economic covariates: coordinates for latitude, coordinates for longitude, region, and the natural log of the area (in square kilometers) of the municipality. Another historical covariate included is the proportion of individuals employed in industry.Footnote ¹² The time-invariant and historical covariates are used to exclude other explanations that may influence present-day outcomes. For example, agricultural potential and historical economic specialization may directly affect present-day outcomes. Adding covariates for latitude, longitude, and region reduces the risk of bias from geographic conditions, and adding the covariate for historical employment in industry can be thought of as a catchall variable for economic conditions related to early industrialization.

In models using only present-day data, I include additional contemporary covariates: the municipal population, average income, and the share of seats for the Social Democrats and the Left Party. More populous municipalities are expected to be more urban and have more progressive values. The same is expected for municipalities with higher average incomes. Left-wing parties are expected to nominate a larger share of women candidates. Summary statistics of all variables included can be found in Table 1.Footnote ¹³

Table 1.

Descriptive statistics

Notes: The table displays the mean, standard deviation, minimum, and maximum values of the main variables used in the analysis. The present-day data include observations for each municipality and election year. The historical and geographic data have one observation per municipality.

Sources: Statistics Sweden and Tabellverket.

MODELING STRATEGY

Can historical social norms predict present-day gender balance in politics? Because of the long time span between the historical measure and the contemporary outcome, a correlation between the two may be interpreted as the persistence of social norms. The extensive amount of detailed, high-quality data provides many different modeling options. Despite this, I have chosen to keep the analysis simple in the sense that I focus on the aggregate (municipal) level only, and the analysis is correlational. The main strength of this approach is that it provides a clear description of the relationship between historical gender norms, measured as family formation patterns, and gender balance in present-day politics over a span of more than 260 years. The main drawbacks of the modeling choice are the lack of precision and detail and the inability of the modeling strategy to identify the reason for the differences across municipalities. The use of proxy variables to measure social norms means that I cannot rule out explanations other than norms (e.g., path dependency in resources) as the reason for long-term persistence. In other words, the aim of the analysis is to draw a larger picture by establishing correlations, but the analysis cannot pinpoint the precise magnitude of the causal relationship or rule out alternative mechanisms with certainty.

The main analysis in this article consists of a series of ordinary least squares (OLS) regression analyses of the correlations between the historical family formation structures and present-day gender balance among elected and nominated politicians (corresponding to H₁). The contemporary data are panel data, but the historical measure is an average that is measured once for each municipality. Thus, the data can be thought of as a panel in which the historical measurements are time-invariant indications of the municipality's history. As my main interest in the analysis is the differences between municipalities, I use pooled OLS regression. The models show the bivariate relationships and the relationships including geographic, time-invariant, and historical economic covariates. As I expect the relationship between historical family formation structures and present-day outcomes to become weaker over time, I include fixed effects for the year of election in all panel regressions.

To model the suggested mechanism for transmission of norms over time, I model the relationship between historical family formation and present-day family formation (marriage rates, divorce rates, and spousal age gap), as well as the relationship between present-day family formation and gender balance in politics (corresponding to H₂ and H₃). I do this using pooled OLS regression for the 1988–2014 panels.

As a robustness test, I study the relationships over time. To do this, I estimate bivariate models using the historical averages but with separate models for each election between 1982 and 2014. These models are presented graphically and provide an overview of the relationships between historical family formation and present-day gender balance in politics. I expect the relationship to become weaker over time. An analysis of the models with family formation as the dependent variable is performed in the same way for 1988–2014.

MAIN RESULTS: GENDER NORMS IN HISTORY AND THE SHARE OF WOMEN IN POLITICS TODAY

The results of the regression models with gender balance among elected politicians and political candidates as dependent variables can be found in Table 2 and Table 3, respectively. As expected from the theory, the results show that in municipalities with a historically large proportion of unmarried women (Models 1 and 2) and a large proportion of women in the population (Models 3 and 4), indicating more progressive gender norms, larger proportions of women are nominated and elected to local political councils today. The relationship is somewhat stronger for municipalities with a historically large proportion of unmarried women than for those with a large proportion of women in general.

Table 2.

Historical gender norms and gender balance of politicians elected to municipal office

Notes: Results from OLS regression. The dependent variable is the proportion of women elected to municipality councils. Unmarried is the proportion of unmarried women, women is the proportion of women, and industry is the proportion of men who are employed in any type of industry from 1749 to 1859. Year fixed effects are included for all election years from 1988 to 2014. Geographic covariates are coordinates for latitude and longitude (of the center of each municipality), and the (natural log of) the area of the municipality. Standard errors in parentheses clustered at level of municipality.

* p < .1; ** p < .05; *** p < .01.

Sources: Statistics Sweden and Tabellverket.

Table 3.

Historical norms and gender balance of politicians nominated to municipal office

Notes: Results from OLS regression. The dependent variable is the proportion of women nominated to municipality councils. Unmarried is the proportion of unmarried women, Women is the proportion of women, and Industry is the proportion of men who are employed in any type of industry from 1749 to 1859. Year fixed effects are included for all election years from 1988 to 2014. Geographic covariates are coordinates for latitude and longitude (of the center of each municipality), and the (natural log of) the area of the municipality. Standard errors in parentheses clustered at level of municipality.

* p < .1; ** p < .05; *** p < .01.

Sources: Statistics Sweden and Tabellverket.

Including both independent variables of interest in the same model (Models 5 and 6) does not change the overall results; however, the proportion of unmarried women, once again, is a somewhat better predictor of the present-day gender balance in politics. In Model 7, the proportion of workers employed in industry from 1749 to 1859 is included as an additional covariate. As expected, there is a positive relationship between early industrialization and gender balance in politics. Yet, including historical employment in industry does not affect the main results.

The relationships show small but substantive correlations. In the most conservative model (Model 7), including time-invariant as well as economic covariates, a 1 percentage point increase in the proportion of unmarried women from 1749 to 1859 corresponds to a 0.34 percentage point increase in the proportion of women elected to municipal councils from 1988 to 2014.

In other words, the results show that in municipalities with 20% unmarried women in the population in the past, there are approximately 36% women in the municipal council today, compared with approximately 40% women in a municipal council in municipalities where there were 30% unmarried women in the past. The correlation between the share of women in the past and the share of women in politics today is somewhat weaker. In this case, a 1 percentage point increase in the proportion of women from 1749 to 1859 corresponds to a 0.18 percentage point increase in the share of women in municipal councils. Note that these relationships are substantially larger than the relationship between early industrialization and the present-day proportion of women in politics. A 1 percentage point increase in the share of employment in industry from 1749 to 1859 corresponds to a 0.15 percentage point increase in the proportion of women in municipal councils today.

These results are in line with H₁, that historical gender norms matter for the present-day gender balance in politics. Where there was a large proportion of unmarried women and a large proportion of women in general from 1749 to 1859, there were more women in politics from 1988 to 2014.

THE LONG-TERM PERSISTENCE OF FAMILY FORMATION PATTERNS

I study the suggested mechanism of family formation structures as the transmitter of social norms in two steps. First, I study the relationship between family formation and gender balance in politics from 1988 to 2014. Second, I study the relationship between historical social norms (1749–1859) and family formation today (1988–2014). If marriage markets transmit social norms across time, we should expect to see correlations between family formation patterns and gender balance in politics, and between historical social norms and present-day family formation patterns.

Table 4 and Table 5 show the results from pooled OLS regression models of the relationship between family formation and gender balance in politics from 1988 to 2014. The results show that where marriage rates are low, divorce rates are high, and the spousal age gap is small, there are more women in politics. Thus, where family formation patterns indicate more progressive gender norms, there is a larger share of women in the municipal councils. The results are more pronounced for the proportion of women elected (Models 1–9 in Table 4) than for the proportion of women among candidates (Models 1–9 in Table 5).Footnote ¹⁴

Table 4.

Family formation and gender balance of politicians elected to municipal office (1988–2014)

Notes: Results from OLS regression. The dependent variable is the proportion of women elected to municipal councils. Married is the proportion of married women, divorced is the proportion of divorced women, and age gap is the average age difference between married women and their spouse. Population is the municipal population, left parties is the proportion of seats held by Social Democrats and the Left Party, and average income is the average income of the municipal population in Swedish kronor. Year fixed effects are included for all election years from 1988 to 2014. Geographic covariates are coordinates for latitude and longitude (of the center of each municipality), and the natural log of the area of the municipality. Standard errors in parentheses clustered at level of municipality.

* p < .1; ** p < .05; *** p < .01.

Sources: Statistics Sweden and Tabellverket.

Table 5.

Family formation and gender balance of politicians nominated to municipal office (1988–2014)

Notes: Results from OLS regression. The dependent variable is the proportion of women nominated to municipal councils. Married is the proportion of married women, divorced is the proportion of divorced women, and age gap is the average age difference between married women and their spouse. Population is the municipal population, left parties is the proportion of seats held by Social Democrats and the Left Party, and average income is the average income in Swedish kronor of the municipal population. Year fixed effects are included for all election years in the time period from 1988 to 2014. Geographic covariates are coordinates for latitude and longitude (of the center of each municipality), and the natural log of the area of the municipality. Standard errors in parentheses clustered at level of municipality.

* p < .1; ** p < .05; *** p < .01.

Sources: Statistics Sweden and Tabellverket.

Including all three family formation measures in the same model does not change the substantive interpretation of the results (Model 10). The estimates, however, are reduced in size. When all three measurements are included in the same model, the relationship between spousal age gap and the proportion of women nominated and elected changes the least compared with the models run separately for each type of family formation measure. This is expected, as marriage and divorce rates are related (the higher the marriage rate, the more possible divorces). Including the marriage rate in a model with the crude divorce rate can be thought of as a way of measuring the adjusted divorce rate.

The relationship sizes are small but substantive. Using the most conservative estimates in Model 10, the correlations can be interpreted as follows: in a municipality with a marriage rate of 65%, the proportion of women in municipal office is estimated at 39%, while in a municipality with a marriage rate of 30%, the proportion of women in municipal council is estimated at 41%. A divorce rate of 3% corresponds to 36% women in politics, and a divorce rate of 17% corresponds to 44% women in politics. An average spousal age gap of two years corresponds to 42% women in municipal councils, and an average spousal age gap of four years corresponds to 37% women in politics. These differences may seem small; however, compared with other estimates in the same model, the differences are not negligible. For example, the correlation between the proportion of left-party seats in the municipality and the number of women in politics shows that 10% left-party seats in a municipality corresponds to 38% women representatives, and 80% left-party seats corresponds to 41% women in the municipal council.

Table 6 shows the results from pooled OLS regression models of the relationship between historical family formation and present-day family formation. The results are in line with what is expected from the theory. Where there was a large share of women and/or a large share of unmarried women in the past, indicating more progressive gender norms, the present-day marriage rates are low, divorce rates high, and the spousal age gap relatively small. The substantive interpretation is the same regardless of whether estimating the models separately for the two historical measures or including both in the same model.

Table 6.

Historical norms and family formation today

Notes: Results from OLS regression. The dependent variables, marriage rate, divorce rate and spousal age gap, are the proportion of married women, the proportion of divorced women, and the average age gap in married couples. Unmarried is the proportion of unmarried women, women is the proportion of women, and industry is the proportion of men who are employed in any type of industry from 1749 to 1859. Year fixed effects are included for all election years from 1988 to 2014. Geographic covariates are coordinates for latitude and longitude (of the center of each municipality), and the (natural log of) the area of the municipality. Standard errors in parentheses clustered at level of municipality.

* p < .1; ** p < .05; *** p < .01.

Sources: Statistics Sweden and Tabellverket.

Once again, the correlation sizes are small but substantive. The strongest relationships are found between the share of unmarried women in the past and present-day marriage and divorce rates. When comparing the size of the estimates to the relationship between the proportion employed in industry from 1749 to 1859 and present-day family formation, the share of women and the share of unmarried women show correlations that are substantially larger.

The results are in line with the hypotheses. Where family formation patterns are traditional, there are fewer women in politics. Moreover, the results show that traditional family formation is persistent over time. Where family formation patterns were more traditional in the past, the family formation structure is more traditional today.

MODELS BY ELECTION YEAR

I reran the analysis by year of election (1982–2014). Estimating one model for each year complements the main results in two ways. First, I can rule out the possibility that the results are driven merely by within-municipality variation across time in the panel data. Second, it provides a good overview of the relationships over time. If historical norms are related to present-day outcomes, it can be expected that the relationships will be stronger in the earlier years of the panel. Figure 2 shows the regression coefficients from bivariate regression models of historical gender structures and present-day gender balance in politics. The coefficients are estimated from regression models, by year of election, and all use the historical averages (1749–1859). The estimation of separate models supports the results from the panel regression models. In addition, the models separated by year show that the relationship between historical social structures and gender balance in politics is more pronounced in the earlier years of the present-day data. Note also the sharp difference in the size of the correlations before and after 1994. This corresponds to the introduction of zipper quotas in 1994 by many political parties. Figure 3 shows the regression coefficients from bivariate regression models of family formation and gender balance in politics, run separately, for all election years from 1988 to 2014.

Figure 2.

Historical gender norms and gender balance in local politics. Coefficients from bivariate regression models, by year, all elections 1982–2014.

Sources: Statistics Sweden and Tabellverket.

Figure 3.

Family formation and gender balance in local politics. Coefficients from bivariate regression models by year for all elections 1982–2014.

Source: Statistics Sweden.

Overall, the results are in line with what is expected from theory. Where the marriage rate is low, the divorce rate is high, and the spousal age gap is small, there are more women in politics. The results show that the relationship between family formation and gender balance in politics is most pronounced in the earlier years and gradually diminishes over time. The relationships are also more pronounced regarding the proportion of women elected than the proportion of women nominated.

Figure 4 shows the coefficients from regression models, by year, for the relationship between historical social norms and present-day family formation patterns. The three dependent variables are marriage rate, divorce rate, and spousal age gap, and the two independent variables are the proportion of women and the proportion of unmarried women. The historical proportion of women is negatively correlated with the marriage rate and positively correlated with the spousal age gap, and there is a tendency toward a positive correlation with the divorce rate in the early years. The proportion of unmarried women in the past is negatively correlated with the marriage rate, positively correlated with the divorce rate, and positively correlated with the (negative) age gap in couples. The results are somewhat more pronounced in the earlier years; however, there are less pronounced differences between the years than in the relationship between the historical measurements and the present-day gender balance in politics.

Figure 4.

Historical gender norms and family formation today. Coefficients from bivariate regression models by year for all elections 1988–2014.

Sources: Statistics Sweden and Tabellverket.

The results from the models with separate regression models for each panel year support the main results. The results show that the relationships are more pronounced in the earlier years.

INTERPRETATION OF THE RESULTS AND ALTERNATIVE EXPLANATIONS

Can the results be interpreted as the persistence of social norms? Is family formation a likely mechanism of norm transmission? To answer these questions, I conduct three additional tests. First, to assess whether family formation patterns are reasonable proxies for social norms, I correlate the present-day family formation measurements with survey measurements. The survey data, although pooled from many years, yield only a few answers from each municipality, and there is not much variation across municipalities. Despite these shortcomings, the results show that the survey measurement of norms is correlated with the family formation measurements, all in the expected directions (see Section 2 of the appendix in the supplementary material online).

Second, I reran the analysis with present-day gender balance in the labor market instead of present-day family formation structures (see the appendix, Section 2) as the dependent variable and the historical measurements as the independent variables. The results show that there is a relationship between the share of women in the past and the share of women in the labor force today. However, there is no such relationship between the share of unmarried women in the past and the share of women in the labor force today. Thus, this test can be seen as strengthening the argument of the relevance of marriage markets as transmitters of norms across time.

Third, to assess the relative importance of historical compared with current family formation norms, I include two models with present-day gender balance in politics (elected and nominated) as the dependent variable and both the historical and present-day measurements of family formation as independent variables (see the appendix, Section 2). If family formation transmits social norms across time, a large part of the relationship between historical social norms and present-day gender balance ought to be accounted for in such a model. The results show that the correlations between the historical measurements of family formation and the present-day gender balance in politics are reduced in size when present-day family formation measurements are included.

The results from the first test support the use of the proxy variables for measuring social norms. The second and third tests support the idea of family formation as a likely transmitter of norms across time.