Academic Thesis

Basic information

Name Kasamatsu Satoshi
Belonging department
Occupation name
researchmap researcher code
researchmap agency

Title 

A citizen candidate model of tax competition with interdependent preferences

					

					

						

							

								

									
OwnerRoles 

									
								

							

						

						
Joint Author

					

					

						

							

								

									
Author 

									
								

							

						

						
Satoshi Kasamatsu, Taku Masuda, Hikaru Ogawa

					

					

						

							

								

									
Summary 

									
								

							

						

						
 

					

					

						

							

								

									
Magazine(name) 

									
								

							

						

						
FinanzArchiv/Public Finance Analysis

					

					

						

							

								

									
Publisher 

									
								

							

						

						
 

					

					

						

							

								

									
Volume 

									
								

							

						

						
76

					

					

						

							

								

									
Number Of Pages 

									
								

							

						

						
4

					

					

						

							

								

									
StartingPage 

									
								

							

						

						
313

					

					

						

							

								

									
EndingPage 

									
								

							

						

						
328

					

					

						

							

								

									
Date of Issue 

									
								

							

						

						
2020/09

					

					

						

							

								

									
Referee 

									
								

							

						

						
Exist

					

					

						

							

								

									
Invited 

									
								

							

						

						
Not exist

					

					

						

							

								

									
Language 

									
								

							

						

						
English

					

					

						

							

								

									
Thesis　Type 

									
								

							

						

						
Research papers (academic journals)

					

					

						

							

								

									
International Journal 

									
								

							

						

						
 

					

					

						

							

								

									
International Collaboration 

									
								

							

						

						
 

					

					

						

							

								

									
ISSN 

									
								

							

						

						
 

					

					

						

							

								

									
eISSN 

									
								

							

						

						
 

					

					

						

							

								

									
DOI 

									
								

							

						

						
10.1628/fa-2020-0011

					

					

						

							

								

									
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Format 

									
								

							

						

						
 

					

					

						

							

								

									
Download 

									
								

							

						

						
 

					

					

						

							

								

									
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