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Can History Be Our Guide?

Permanent Link: http://ncf.sobek.ufl.edu/NCFE003968/00001

Material Information

Title: Can History Be Our Guide? Evaluating the Effects of Constitutional Rules on Size of Government
Physical Description: Book
Language: English
Creator: Mastrangelo, Paolo
Publisher: New College of Florida
Place of Publication: Sarasota, Fla.
Creation Date: 2008
Publication Date: 2008

Subjects

Subjects / Keywords: Causal Inference
Size of Government
Quantitative Methodology
Electoral Rules
Political Rules
Genre: bibliography   ( marcgt )
theses   ( marcgt )
government publication (state, provincial, terriorial, dependent)   ( marcgt )
born-digital   ( sobekcm )
Electronic Thesis or Dissertation

Notes

Abstract: In this thesis I argue that geography drives the causal claims relating presidential political systems and majoritarian electoral rules to lower central government spending (Persson and Tabellini: 2002). I examine the initial causal claims in light of post-treatment bias and omitted variable bias. Post-treatment bias is eliminated by using only covariates which are plausibly unaffected by the treatment, while removing those that are realized after the constitutional moment. A discussion of omitted variable bias calls for several amendments and the inclusion of new variables that capture the interaction between geography and constitutional rules. I then examine the plausibility of the counterfactuals of interest in light of the improvements presented here, concluding that inferences made about the effects of constitutional rules on size of government are more dependent on unverifiable assumptions about statistical models than the information at hand.
Statement of Responsibility: by Paolo Mastrangelo
Thesis: Thesis (B.A.) -- New College of Florida, 2008
Electronic Access: RESTRICTED TO NCF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE
Bibliography: Includes bibliographical references.
Source of Description: This bibliographic record is available under the Creative Commons CC0 public domain dedication. The New College of Florida, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.
Local: Faculty Sponsor: Alcock, Frank

Record Information

Source Institution: New College of Florida
Holding Location: New College of Florida
Rights Management: Applicable rights reserved.
Classification: local - S.T. 2008 M4
System ID: NCFE003968:00001

Permanent Link: http://ncf.sobek.ufl.edu/NCFE003968/00001

Material Information

Title: Can History Be Our Guide? Evaluating the Effects of Constitutional Rules on Size of Government
Physical Description: Book
Language: English
Creator: Mastrangelo, Paolo
Publisher: New College of Florida
Place of Publication: Sarasota, Fla.
Creation Date: 2008
Publication Date: 2008

Subjects

Subjects / Keywords: Causal Inference
Size of Government
Quantitative Methodology
Electoral Rules
Political Rules
Genre: bibliography   ( marcgt )
theses   ( marcgt )
government publication (state, provincial, terriorial, dependent)   ( marcgt )
born-digital   ( sobekcm )
Electronic Thesis or Dissertation

Notes

Abstract: In this thesis I argue that geography drives the causal claims relating presidential political systems and majoritarian electoral rules to lower central government spending (Persson and Tabellini: 2002). I examine the initial causal claims in light of post-treatment bias and omitted variable bias. Post-treatment bias is eliminated by using only covariates which are plausibly unaffected by the treatment, while removing those that are realized after the constitutional moment. A discussion of omitted variable bias calls for several amendments and the inclusion of new variables that capture the interaction between geography and constitutional rules. I then examine the plausibility of the counterfactuals of interest in light of the improvements presented here, concluding that inferences made about the effects of constitutional rules on size of government are more dependent on unverifiable assumptions about statistical models than the information at hand.
Statement of Responsibility: by Paolo Mastrangelo
Thesis: Thesis (B.A.) -- New College of Florida, 2008
Electronic Access: RESTRICTED TO NCF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE
Bibliography: Includes bibliographical references.
Source of Description: This bibliographic record is available under the Creative Commons CC0 public domain dedication. The New College of Florida, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.
Local: Faculty Sponsor: Alcock, Frank

Record Information

Source Institution: New College of Florida
Holding Location: New College of Florida
Rights Management: Applicable rights reserved.
Classification: local - S.T. 2008 M4
System ID: NCFE003968:00001

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