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pro vyhledávání: '"Tom Holden"'
Autor:
Tom Holden
Publikováno v:
SSRN Electronic Journal.
Autor:
Tom Holden
Publikováno v:
The Review of Economics and Statistics. :1-45
We present the first necessary and sufficient conditions for there to be a unique perfect-foresight solution to an otherwise linear dynamic model with occasionally binding constraints, given a fixed terminal condition. We derive further conditions on
Publikováno v:
Neutron News. 33:14-15
This note studies a form of a utility function of consumption with habit and leisure that (a) is compatible with long-run balanced growth, (b) hits a steady state observed target for hours worked and (c) is consistent with micro-econometric ev- idenc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::598aa5e5c8d8f3d71703fafb0a709a62
https://surrey.eprints-hosting.org/846382/
https://surrey.eprints-hosting.org/846382/
Publikováno v:
SSRN Electronic Journal.
We present a model in which banks and other financial intermediaries face both occasionally binding borrowing constraints, and costs of equity issuance. Near the steady state, these intermediaries can raise equity finance at no cost through retained
Autor:
Tom Holden, Ana-Maria Dumitru
Publikováno v:
SSRN Electronic Journal.
The run-up to the Greek default featured marked increases in the cost of insuring sovereign debt from almost all European countries, as evidenced by their credit default swap (CDS) rates. One explanation for the perceived higher default risk in non-p
Autor:
Tom Holden
Publikováno v:
SSRN Electronic Journal.
This paper explores the theoretical channels by which financial crises might have an impact on long-run growth. By exploiting occasionally binding financial constraints, we produce a model that generates endogenous crisis episodes featuring permanent
Autor:
Tom Holden
Publikováno v:
SSRN Electronic Journal.
Autor:
Tom Holden
Publikováno v:
SSRN Electronic Journal.
Traditional macroeconomic learning algorithms are misspecified when all agents are learning simultaneously. In this paper, we produce a number of learning algorithms that do not share this failing, and show that this enables them to learn almost any
Autor:
P. Fenton, Capt. F. B. Snodgrass, Tom Holden, Gérard Lachapelle, Capt. T. Nash, W. Qiu, C. Pelletier, Capt . John Raquet
Publikováno v:
Navigation. 43:149-165
The concept of using a pseudolite in the reverse mode where the pseudolite is positioned with respect to receivers deployed at known points is presented. Two types of double-difference positioning approaches for eliminating clock and other code and c