Ivo Bakota

Max Planck Institute for Social Law and Social Policy

Amalienstrasse 33

Munich, 80799

Germany

Learn more about SSRN Profiles

SCHOLARLY PAPERS

4

DOWNLOADS

142

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Feedback

Scholarly Papers (4)

Sort by:

Actions:

View:
Selected
Original List
All Versions Hide All Versions
All Abstracts Hide All Abstracts

(Rank)

1.

Firm Leverage and Wealth Inequality

Downloads 49 (591,780)

2

Firm Leverage and Wealth Inequality

CERGE-EI Working Paper Series No. 667, 2020

Number of pages: 47 Posted: 17 Nov 2020

Ivo Bakota

Max Planck Institute for Social Law and Social Policy

Downloads 29 (731,735)

Abstract:

Firm Leverage and Wealth Inequality

MEA Discussion Paper No. 14-2020

Number of pages: 44 Posted: 19 Oct 2020

Ivo Bakota

Max Planck Institute for Social Law and Social Policy

Downloads 20 (805,124)

Abstract:

2.

Capital Income Taxation with Portfolio Choice

Downloads 48 (596,971)

2

Capital Income Taxation with Portfolio Choice

CERGE-EI Working Paper Series No. 668, 2020

Number of pages: 52 Posted: 17 Nov 2020

Ivo Bakota

Max Planck Institute for Social Law and Social Policy

Downloads 27 (747,164)

Abstract:

Capital Income Taxation with Portfolio Choice

MEA Discussion Paper No. 15-2020

Number of pages: 50 Posted: 20 Oct 2020

Ivo Bakota

Max Planck Institute for Social Law and Social Policy

Downloads 21 (796,505)

Abstract:

3.

Avoiding Root-Finding in the Krusell-Smith Algorithm Simulation

Downloads 32 (690,388)

2

Avoiding Root-Finding in the Krusell-Smith Algorithm Simulation

MEA Discussion Paper No. 16-2020

Number of pages: 27 Posted: 20 Oct 2020

Ivo Bakota

Max Planck Institute for Social Law and Social Policy

Downloads 17 (832,005)

Abstract:

Avoiding Root-Finding in the Krusell-Smith Algorithm Simulation

CERGE-EI Working Paper Series No. 669, 2020

Number of pages: 29 Posted: 17 Nov 2020

Ivo Bakota

Max Planck Institute for Social Law and Social Policy

Downloads 15 (850,780)

Abstract:

4.

Continuous-Time Speed for Discrete-Time Models: A Markov-Chain Approximation Method

MEA Discussion Paper No. 01-2022

Number of pages: 63 Posted: 25 Jul 2022

Ivo Bakota and Matthias Kredler

Max Planck Institute for Social Law and Social Policy and Max Planck Society for the Advancement of the Sciences - Munich Center for the Economics of Aging (MEA)

Downloads 13 (839,725)

Abstract:

Feedback