What Comes after Cabinet? Post-Cabinet Careers of German Regional Ministers between 1945 and 2014
Abstract
:1. Introduction
2. Research on Ministerial Careers in Germany and Three Blocks of Research Questions
- (1)
- Does it help to be a cabinet member of a state government to further a political career after the time in the state executive? In other words, is the state cabinet position just a staging post on the road to a more prestigious political position and thus a stepping stone that helps to achieve ambitious political plans, or is it a dead end for any career in German politics? Are there any frequently occurring trajectories? Furthermore, can we identify factors supporting or hindering such multilevel political careers?
- (2)
- What types of post-cabinet careers do we find? What other, nonpolitical positions do former ministers occupy in the private sector, in foundations, or in academia? Are these jobs well-paid positions for old party soldiers who can no longer be kept in the political business (e.g., because of their age or because of scandals), or is a well-paid job in lobbying even more desirable than a high-ranking job in politics?
- (3)
- Are there any significant differences within the post-ministerial career pattern? Does it change through the decades? Are there significant differences according to the party of the minister, the gender, or the state he or she has been working in?
3. Materials and Methods
- (1)
- Regular sequence plots are ultimately a graphical translation of the STS format structure presented in Table 1. Each horizontal line represents one post-ministerial career, and the different colors represent the different positions. These plots are well suited if you are interested to see which career steps follow each other for every single case. However, regular sequence plots are often too fuzzy to gain insight in any general patterns. Figure A1 in the Appendix A depicting the complete dataset as a regular sequence plot can serve as an example.
- (2)
- In transversal frequency plots, each column (=year) gives the frequencies of the statuses. These plots help to understand the general patterns in the data and are thus the most appropriate way of presenting sequence data for our purposes here.
4. Results
4.1. Descriptive Analysis
4.2. The Overall Sequence Picture
4.3. Gender Differences
4.4. Party Effects?
4.5. Consequences of the Last Portfolio for the Post-Ministerial Career
- (1)
- For a position within the private sector (either self-employed or as an employee), the best starting points are the ministries of economy and transportation, finance, or construction and housing.
- (2)
- The best chances to become a member of the federal government lie with prime ministers, ministers for federal affairs, and the heads of the state chancelleries. Because all of these positions already work together closely with the federal government, this might explain their superior chances to switch to the federal level. Other ministries, such as the ministries of agriculture, education, or justice, provide fewer opportunities to make it to the federal level.
- (3)
- Not surprising is the fact that ministers of the interior and justice often continue their careers as lawyers or judges.
4.6. Changes through Time
- (1)
- Until the 1960s, up to 20 percent of all ministers died during the observed ten years after they left the cabinet. This percentage is much lower in the following decades. On the one hand, this is due to a trend toward younger cabinets and, on the other hand, due to the increasing life expectancy in Germany.12
- (2)
- Especially in the 1960s, “pension” is a large position. This indicates that in that decade, the position of a state minister represented the apex of a political career for many politicians. They reached this high level mostly at the end of their professional career and then went on to their pension and/or died. It is astounding that in the 1960s, only about 40 percent of the ministers were either not dead or in retirement ten years after leaving the cabinet. In the 1990s, this number rose to about 85 percent.
- (3)
- Work in foundations has expanded since the 1970s.
- (4)
- Positions in the private sector and as lawyers have also become more frequent, especially since the 1990s.
4.7. Differences between the States?
- (1)
- In Baden-Wuerttemberg, many more former ministers work as managers and in the private sector than in the other states.
- (2)
- The chances to use the position in the state cabinet as a stepping stone for a position at the federal level are much lower for ministers in the eastern German states (except for Saxony).
- (3)
- The best chances to make it to the Bundestag lie with ministers from Berlin, North-Rhine-Westphalia, and Rhineland-Palatinate.
- (4)
- Local politics is a likely option particularly for eastern German state ministers.
- (5)
- The number of former cabinet members working in the judicial system, mainly as lawyers, but also as judges (including the Federal Constitutional Court), varies considerably among the states. While in Bavaria, Bremen, and Mecklenburg West-Pomerania virtually no former cabinet member changes into the judicial system, in Thuringia, Saxony, or Hamburg, former ministers on average stay more than half a year of the ten observed years within the judicial system.
- (6)
- The possibilities for former ministers to once again become ministers at a state level are also very unevenly distributed: In Bremen, Mecklenburg West-Pomerania, Saxony, and Schleswig-Holstein, a return to a position within a state executive is very rare, whereas this career pattern makes up a significant proportion in Berlin, Hamburg, and Lower-Saxony.
4.8. From State to Event Sequences: What Are the Most Frequent Transition Sequences?
4.9. Five Clusters of Post-Ministerial Careers
5. Conclusions and Limitations
Funding
Data Availability Statement
Conflicts of Interest
Appendix A
Reduced Alphabet Code | Original Code | Description |
---|---|---|
Land_Parliament | p_land_lt | Member of a state parliament |
p_land_lt_president | President of a state parliament | |
p_land_lt_vice | Vice-president of a state parliament | |
Bundestag | p_fed_bt | Member of the Bundestag |
EU | p_eu | EU (Parliament, Commission, Agencies) |
Land_Executive | p_land_minprä | Prime minister of a state |
p_land_min | Minister of a state | |
p_land_secretary | State secretary of a state | |
Federal_Executive | p_fed_chancellor | Federal Chancellor |
p_fed_min | Federal minister | |
p_fed_president | Federal President | |
p_fed_secretary | State secretary federal level | |
Political_Other | p_local | Local politics (e.g., mayor, city councilor) |
p_other | Other political engagement (mostly party business, advising politicians) | |
Judge | j_bverfg | Judge at the Federal Constitutional Court |
j_judge | Judge | |
Economy/private sector | e_ent | Self-employed (e.g., founder of a company, farmer, corporate consultant) |
e_manager | Manager, Member of a board of directors, Member of an advisory committee | |
j_lawyer | Lawyer | |
media | Media | |
Other | adm | Administration |
church | Priest, church administration | |
dipl | Diplomacy (Federal Foreign Office, ambassador) | |
e_union | Member of employee’s or employer’s associations | |
Foundation | foundation | Registered association, charitable foundation, voluntary work |
Academia | uni | University (full) professor, researcher at research institute |
Death_Retired | death | Death |
pension | Pension, retired |
1 | They ask: “what was your profession immediately after you left the parliament?” (Best et al. 2008, p. 15). See Edinger and Schwarz for a more detailed analysis of the same dataset (Edinger and Schwarz 2009). |
2 | For western Germany and Berlin, this means after 1945, for eastern Germany the observation period starts with the first state cabinets after the fall of the Berlin Wall in 1990. |
3 | The decision to also include incomplete sequences, i.e., data on post-ministerial careers for which less than 10 years are known, is due to the idea of showing that the method of sequence analysis can also deal with such right-truncated data. The alternative of including only those sequences in the analysis for which a complete 10 years (which of course, is also an arbitrary period) could be observed would mean a significant reduction in the dataset to be analyzed and thus an unnecessary loss of information. |
4 | While from a political science point of view the coding decision to primarily focus on political positions makes sense, other research questions that are more concerned with the social or economic level of a post-ministerial career could make use of different coding criteria. For example, the question whether a position is unpaid or paid, and if it is paid how much income is generated by it, might be relevant. Yet, also from a data availability point of view, it is often very hard to know whether a position is paid, unpaid, or officially unpaid, but includes high expenses allowances, which are ultimately equivalent to a salary. |
5 | I used curricula vitae from official websites of state and federal ministries, state parliaments, Bundestag and the EU parliament, personal homepages of the politicians, party websites, Munzinger Archive, and Wikipedia. Furthermore, especially for the more problematic cases in terms of data availability, I searched online newspapers for articles about the post-ministerial career. Particularly articles with the headlines “whatever happened to…?” or “where are they now?” can be fruitful sources of information for this kind of study. |
6 | For such an approach, see Borchert and Stolz (2011). |
7 | Either the same costs can be assumed for all transformations or different costs can be assumed, depending on the transition. This can be theoretically justified (e.g., assuming that a transition from a state minister to the federal chancellor’s office is a larger one than a transition as a member of parliament to the Bundestag. Alternatively, costs can be determined using empirical transition data. The more frequently a particular transition occurs in the dataset, the lower the costs would then be set. Different options to tackle the problem of how to set the costs for transitions, especially for social science sequences with their strong sensitivity to time, have been proposed (Elzinga 2003, 2005; Halpin 2010, 2014; Martin and Wiggins 2011). |
8 | This example is adapted from Elzinga (2007, p. 14). |
9 | Turner-Zwinkels and Mills (2020) propose a fuzzy clustering algorithm for their sequence analysis of preparliamentary careers in the Netherlands. |
10 | The category “manager” also includes salaried members of boards of directors and salaried members of advisory boards. |
11 | An example is former federal minister of agriculture and consumer protection, Ilse Aigner, who left the federal level at her own request to become the Bavarian minister of economy. Particularly in Bavaria, it does not seem to be completely self-evident which political level is held in the highest esteem. In this regard, the German federal system in some way resembles patterns known from Belgium (Dodeigne 2014). |
12 | Particularly in the years after the Second World War, a number of relatively old politicians became ministers who had already been politicians in the Weimar Republic and held no connections to the Nazis. The most famous example is probably Konrad Adenauer, the first Federal Chancellor, who had been mayor of Cologne from 1917 to 1933. |
13 | Performing the test with the Bonferroni-correction indeed no longer reports any significant differences. Yet, this correction is extremely conservative, which makes it very likely that also, in reality, significant differences are no longer detected. Thus, I believe the chi-square test to be the better option here. |
14 | Silhouette analysis is a method developed by Rousseeuw (1987) to compare different clustering solutions by distinguishing clear-cut clusters from weak ones using the so-called silhouette measure that can be calculated for every single case. If this measure is positive (as close to 1 as possible), the clustering algorithm puts the case into the best-fitting cluster. If the silhouette measure is instead negative, the case then lies on average closer to a neighboring cluster than to the objects within its own cluster. |
15 | In this respect, the situation in Germany differs, for example, from that in Spain, which is also federally organized, where the vast majority of national ministers are recruited in local and regional executives (see Rodriguez-Teruel 2011). |
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Name | State | Party | Sex | Last Portfolio | End of Spell | p1 | p2 | … | p9 | p10 |
---|---|---|---|---|---|---|---|---|---|---|
Elisabeth Heister-Neumann | NI | CDU | 0 | Education | 27 April 2010 | p_land_lt | p_land_lt | … | ||
Franz Heitgres | HH | KPD | 1 | Compensation and refugee relief | 15 November 1946 | foundation | foundation | … | no data | no data |
Steffen Heitmann | SN | CDU | 1 | Justice | 15 September 2000 | p_land_lt | p_land_lt | … | p_land_lt | foundation |
Arthur Heitschmidt | SL | FDP | 1 | Finance and forestry | 27 January 1963 | death | death | … | death | death |
Person | State 1 | State 2 | State 3 | State 4 | State 5 | State 6 | State 7 |
---|---|---|---|---|---|---|---|
X: | U | A | U | P | U | A | |
Y: | A | U | J | O | |||
Z: | U | A | P | U | J | O | O |
Former… | Chancellor | Interior | Foreign | Finance | Economy |
---|---|---|---|---|---|
regional prime minister | 5 (33%) | 1 (5%) | 2 (13%) | 6 (27%) | 2 (9%) |
regional minister | 3 (56%) | 3 (14%) | 5 (31%) | 5 (23%) | 8 (36%) |
regional prime minister or regional minister | 7 (78%) | 4 (19%) | 7 (44%) | 8 (36%) | 9 (41%) |
federal minister (in different department) | 5 (56%) | 8 (38%) | 11 (69%) | 11 (50%) | 8 (36%) |
sum | 9 | 21 | 16 | 22 | 22 |
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Jäckle, S. What Comes after Cabinet? Post-Cabinet Careers of German Regional Ministers between 1945 and 2014. Soc. Sci. 2023, 12, 601. https://doi.org/10.3390/socsci12110601
Jäckle S. What Comes after Cabinet? Post-Cabinet Careers of German Regional Ministers between 1945 and 2014. Social Sciences. 2023; 12(11):601. https://doi.org/10.3390/socsci12110601
Chicago/Turabian StyleJäckle, Sebastian. 2023. "What Comes after Cabinet? Post-Cabinet Careers of German Regional Ministers between 1945 and 2014" Social Sciences 12, no. 11: 601. https://doi.org/10.3390/socsci12110601
APA StyleJäckle, S. (2023). What Comes after Cabinet? Post-Cabinet Careers of German Regional Ministers between 1945 and 2014. Social Sciences, 12(11), 601. https://doi.org/10.3390/socsci12110601