Why did religiosity decrease in the Western World during the twentieth century? Raphaël Franck* &...
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Transcript of Why did religiosity decrease in the Western World during the twentieth century? Raphaël Franck* &...
Why did religiosity decrease in the Western
World during the twentieth century?
Raphaël Franck & Laurence R. Iannaccone*
Bar Ilan University, Department of Economics,
Ramat Gan, Israel.
** Chapman University, Argyros School of Business and Economics, Orange, CA, USA.
1. Introduction
• Contemporary debates over religiosity almost always focus on church attendance.
• There are two major theories of religiosity:
1. The religion-market model: Iannaccone (1991), Iannaccone & Stark (1994), Gill (1999).
2. The secularization hypothesis: Weber (1905), Chaves (1994) and Bruce (2001).
The religion-market model
• Governmental interventions are major determinants of religious participation.
• The development of the welfare state had an impact on religious participation :
– it crowded out the churches’ charities (Gruber & Hungerman, 2007; Hungerman, 2007, 2009).
– it reduced the churches’ ability to insure their members against adverse income shocks (Dehejia et al., 2007).
The secularization hypothesis
• Industrialization, urbanization, low fertility, wealth and education depress religiosity.
• McCleary and Barro (2006)’s study of 68 countries in the 1980s and 1990s:– Development has a negative effect on religiosity.– Urbanization makes individuals less observant.– But education is positively correlated with
religiosity.
• A database on religious activity based on the polls conducted by the International Social Survey Program (ISSP).
• Long-run church attendance trends in the United States, Canada & most of Western Europe from the 1920s until the 1990s.
• The data show that religiosity decreased in the Western World during the 20th century.
2. Data
• Long-run data on church attendance (ISSP data)
• 10 countries in this study: Canada, Denmark, France, Ireland, Netherlands, Norway, Sweden, Switzerland, the UK and the USA.
• These countries were democracies during the 20th century.
• These countries have historically been Christian countries, i.e., Catholic or Protestant.
The ISSP data asked the following:• “When you were around 11 or 12, how often did you
attend religious services then?”• “When you were a child, how often did your father
attend religious services?”• “When you were a child, how often did your mother
attend religious services?”
Replies were coded into standard categories, ranging from “never” to “several times each week”.
The respondents were also asked about their denominational affiliation and that of their parents’.
Canada
0
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1930 1940 1950 1960 1970 1980
Children Parents
France
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1925 1935 1945 1955 1965 1975 1985
Children Parents
Denmark
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1920 1930 1940 1950 1960 1970 1980
Children Parents
Ireland
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1920 1930 1940 1950 1960 1970 1980
Children Parents
Netherlands
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1920 1930 1940 1950 1960 1970 1980
Children Parents
Sweden
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1925 1935 1945 1955 1965 1975 1985
Children Parents
Norway
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1920 1930 1940 1950 1960 1970 1980
Children Parents
Switzerland
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1930 1940 1950 1960 1970 1980
Children Parents
United Kingdom
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1920 1930 1940 1950 1960 1970 1980
Children ParentsUSA
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1920 1930 1940 1950 1960 1970 1980
Children Parents
Figure 2. Church attendance, enrollment in post-secondary institutions and social welfare spending in the United States, 1925-1990.
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1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Enrollment in post-secondary educational institutions (in % percentage of the population)Children's church attendance
Parents' church attendanceSocial welfare spending (in % of GDP)
Explanatory variables
Several sources: • Carter et al. (2006)• Flora (1983)• Organization for Economic Cooperation and
Development (OECD) statistics.
• National databases made available by each country’s bureau of statistics.
Income (GDP per capita)
• The secularization hypothesis: – religious observance is negatively correlated
with higher income.
• The religion-market model:– growth in GDP per capita has no effect on
church attendance.
Urbanization & industrialization • The secularization hypothesis:
– industrialization and urbanization make individuals more secular.
• The religion-market:– in urban areas, individuals seeking relief
would turn to religious institutions that provide charitable services.
Human capital
• Data on fertility, secondary education and post-secondary education
• The secularization hypothesis:– an increase in human capital decreases
religiosity.
• The religion-market model: – there is no straightforward relationship
between education, fertility and religiosity.
The welfare state
• Different measures of public spending (education, family, health, old-age)
• The religion-market model:– The welfare state lowered charity donations to
churches.
• The secularization hypothesis: – No specific predictions on the effects of public
spending on church attendance.
3. MethodologyWe run the following regressions
• Childrenc,t = αc+αt+βXc,t +εc,t (1)
• Parentsc,t = αc+αt+βXc,t +εc,t (2)
Childrenc,t church attendance of children in country c in year t
Parentsc,t church attendance of parents in country c in year t
Xc,t vector of explanatory variables
c,t error term with N(0;2)
Econometric issues
• Reverse causality – Cov(Xc,t, εc,t)=0
– Calls for Instrumental Variables (IVs)– Not an issue for the Industrialization,
Urbanization, Secondary Education and Post-Secondary Education variables.
• Persistency of religious behavior– Calls for a lagged dependent variable.
Estimation methodology
• Two types of 2SLS regressions:1. Births and GDP per capita are endogenous while
Govt Spending-Education, Govt Spending-Family, Govt Spending-Health and Govt Spending-Old Age, are exogenous.
2. Govt Spending-Education, Govt Spending-Family, Govt Spending-Health and Govt Spending-Old Age are endogenous while Births and GDP per capita are exogenous.
• Arellano-Bond (1991) GMM regression with Windmeijer (2005)’s finite sample correction for the two-step covariance matrix.
Instrumental variables (1/3)
To instrument for GDP per capita
• Tariff
Ratio of the average tariff duties over imports. Correlated with GDP (Clemens and Williamson,
2004) but not with religiosity (Grossman & Helpman, 2002).
• Strike
Days of work lost per worker as a result of strikes.
(see Cramton & Tracy, 1992, on causes of strikes).
Instrumental variables (2/3)
To instrument for Births
• Interest RateReal interest rate on long-term government bonds.
• Exchange Rate Real exchange rate between the US dollar and the
other countries’ currency.
Both variables are correlated with fertility(see Becker & Barro, 1988, Rose et al., 2009).
Instrumental variables (3/3)
To instrument for the welfare state variables,
Education and Family
Health and Old Age
• Strike (defined above)
• Unemployment log of the unemployment rate in each country.
• Net Immigration difference between the number of immigrants
& emigrants in a country.
We introduce a lagged dependent variable in Equations (1) and (2)
• Childrenc,t = αc+αt + βXc,t + γChildrenc,t-1 + εc,t (3)
• Parentsc,t = αc+αt + βXc,t + γParentsc,t-1 + εc,t (4)
where Childrenc,t-1 and Parentsc,t-1 are the lagged dependent variables.
Persistency of religious behavior
We can estimate Equations (3) and (4)
provided that in Equation (3)
Cov(Childrenc,t-1, εc,t)=Cov(Xc,t, εc,t)=0 as t→∞
and that in Equation (4)
Cov(Parentsc,t-1, εc,t)=Cov(Xc,t, εc,t)=0 as t→∞
Estimation technique
• The fixed effects OLS estimator can be consistent when the number of time periods in the sample increases, i.e., as t→∞ (Wooldridge, 2002).
• 2SLS estimator (Anderson & Hsiao, 1982).
• Arellano-Bond (1991) GMM estimator with Windmeijer (2005)’s finite sample correction for the two-step covariance matrix in order to obtain more accurate sample inference.
Wealth & human capital
• GDP per capita variable does not have any effect on religiosity (or has a positive effect!).
• Post-Secondary Education variable is not significant in the OLS regressions.
• No systematic result for Secondary Education.
• Births is not significant in the OLS regressions.
• These results fail to confirm the predictions of secularization theories.
Urbanization & Industrialization
• Industries has a positive coefficient in almost all the OLS regressions.
• Urban variable also has a positive and significant in several OLS regressions.
• These results support the predictions of the secularization hypothesis
Public spending on welfare services
• Public spending on education & the growth in old-age expenditures depressed religiosity.
• Religiosity was not influenced by the increase in health- or family-related public expenditures.
• These results are consistent with the religion-market model which considers that religious participation is “supply-driven”.
5. Who stopped attending church during the twentieth century?
• We now break down our Parents and Children variables into sub-categories:
– Protestant Children and Protestant Parents– Catholic Children and Catholic Parents– Mothers and Fathers (Female and Male Parents)
– Daughters and Sons (Female and Male Children)
– Male Catholics and Male Protestants– Female Catholics and Female Protestants
Canada
0
20
40
60
80
100
1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Catholic parents Protestant parents Catholic children Protestant children
France
0
20
40
60
80
100
1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Catholic parents Protestant parents Catholic children
Ireland
0
20
40
60
80
100
1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Catholic parents Protestant parents Catholic children
Denmark
0
20
40
60
80
100
1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Daughters Sons Mothers Fathers
Netherlands
0
20
40
60
80
100
1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Catholic parents Protestant parents Catholic children Protestant children
Sweden
0
20
40
60
80
100
1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Daughters Sons Mothers Fathers
Norway
0
20
40
60
80
100
1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Daughters Sons Mothers Fathers
Switzerland
0
20
40
60
80
100
1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Catholic parents Protestant parents Catholic children Protestant children
USA
0
20
40
60
80
100
1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Catholic parents Protestant parents Catholic parents Protestant parents
United Kingdom
0
20
40
60
80
100
1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Catholic parents Protestant parents Protestant children
Canada
0
20
40
60
80
100
1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Daughters Sons Mothers Fathers
France
0
20
40
60
80
100
1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Daughters Sons Mothers Fathers
Denmark
0
20
40
60
80
100
1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Daughters Sons Mothers Fathers
Ireland
0
20
40
60
80
100
1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Daughters Sons Mothers Fathers
Netherlands
0
20
40
60
80
100
1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Daughters Sons Mothers Fathers
Sweden
0
20
40
60
80
100
1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Daughters Sons Mothers Fathers
Norway
0
20
40
60
80
100
1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Daughters Sons Mothers Fathers
Switzerland
0
20
40
60
80
100
1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Daughters Sons Mothers Fathers
United Kingdom
0
20
40
60
80
100
1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985
Daughters Sons Mothers Fathers
USA
0
20
40
60
80
100
1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990
Daughters Sons Mothers Fathers
• The results imply an instrumental view of religious participation.
• The results do not imply that religious participation is never demand-driven.
• The results imply that the decline in religious participation cannot be attributed to a decrease in the demand for religiosity.