Consumer Default, Credit Reporting, and Borrowing Constraints

2017 ◽  
Vol 72 (5) ◽  
pp. 2331-2368 ◽  
Author(s):  
MARK J. GARMAISE ◽  
GABRIEL NATIVIDAD
Keyword(s):  
Borrowing Constraints ◽  
Credit Reporting ◽  
Consumer Default

SHOULD THE PRIVATE SECTOR PROVIDE PUBLIC CAPITAL?

2007 ◽  
Vol 11 (3) ◽  
pp. 318-346
Author(s):  
SANTANU CHATTERJEE
Keyword(s):  
Open Economy ◽  
Public Capital ◽  
Borrowing Constraints ◽  
International Capital ◽  
Standard Assumption ◽  
Production Externalities ◽  
International Capital Markets ◽  
Private Provision ◽  
Large Production ◽  
Government Provision

The choice between private and government provision of a productive public good like infrastructure (public capital) is examined in the context of an endogenously growing open economy. The accumulation of public capital need not require government provision, in contrast to the standard assumption in the literature. Even with an efficient government, the relative costs and benefits of government and private provision depend crucially on the economy's underlying structural conditions and borrowing constraints in international capital markets. Countries with limited substitution possibilities and large production externalities may benefit from governments encouraging private provision of public capital through targeted investment subsidies. By contrast, countries with flexible substitution possibilities and relatively smaller externalities may benefit either from governments directly providing public capital or from regulation of private providers. The transitional dynamics also are shown to depend on the underlying elasticity of substitution and the size of the production externality.

First-Class Objects

2018 ◽  
Author(s):  
James Grimmelmann
Keyword(s):  
Computer Systems ◽  
High Technology ◽  
Credit Reporting ◽  
Privacy Law ◽  
The Difference ◽  
Technical Difference

9 Journal of Telecommunications and High Technology Law 421 (2011)What is the difference between "James Grimmelmann" and "@grimmelm" and why should we care? Some computer systems, like Facebook and credit reporting agencies, are inherently "about" people. Others are not. This essay argues that the key technical difference is whether they use unique identifiers to refer to people in their databases. From this single distinction, a host of social and humanistic consequences follow. The essay taxonomizes them and teases out some of their implications for privacy law.

Borrowing Constraints and Homeownership Over the Recent Cycle

2016 ◽  
Author(s):  
Arthur Acolin ◽  
Jesse Bricker ◽  
Paul S. Calem ◽  
Susan M. Wachter
Keyword(s):  
Borrowing Constraints

Real Estate

2017 ◽  
Author(s):  
Stefan Homburg
Keyword(s):  
Real Estate ◽  
Great Recession ◽  
House Prices ◽  
Borrowing Constraints ◽  
Macroeconomic Models ◽  
Land Prices ◽  
The Great Recession ◽  
Quantitative Importance

Chapter 6 examines real estate as a neglected feature of actual economies. It begins with an empirical overview demonstrating the preeminent role of land as a part of nonfinancial wealth. Whereas many macroeconomic models represent nonfinancial wealth by a symbol K that is interpreted as machines and equipment (if not robots), the text makes clear that such items are of minor quantitative importance. In contemporary economies, nonfinancial wealth consists chiefly of real estate. This is the proper reason so many analysts conjecture a link between house prices and the Great Recession. Changes in house prices (primarily changes in land prices) operate on the economy through their influence on nonfinancial wealth. Nonfinancial wealth affects consumption directly and investment indirectly since it relaxes or tightens borrowing constraints. Building on the results obtained in previous chapters, the text studies housing manias and leverage cycles and relates its main findings to US data.

Introduction

2017 ◽  
Author(s):  
Stefan Homburg
Keyword(s):  
Great Recession ◽  
Rational Expectations ◽  
Borrowing Constraints ◽  
Distinctive Features ◽  
Net Worth ◽  
The Great Recession ◽  
External Finance ◽  
International Audience ◽  
Aims And Scope

Chapter 1 describes the book’s aims and scope. The main objective is to improve understanding of the Great Recession and its aftermath. The book provides a unified theoretical framework that uses dynamic general equilibrium models, or DGE, but dispenses with the rational expectations assumption. Its distinctive features are clean models with a rich institutional structure encompassing credit money, external finance, borrowing constraints, net worth, real estate, and commercial banks. Written for economists in universities, governments, and financial institutions, the book addresses an international audience.

Life insurance demand and borrowing constraints

2021 ◽  
Vol 24 (1) ◽  
pp. 37-69
Author(s):  
Bojan Srbinoski ◽  
Klime Poposki ◽  
Patricia H. Born ◽  
Valter Lazzari
Keyword(s):  
Life Insurance ◽  
Borrowing Constraints ◽  
Insurance Demand ◽  
Life Insurance Demand

Precise clustering analysis of Internet financial credit reporting dependent on multidimensional attribute sparse large data

2021 ◽  
pp. 002072092110020
Author(s):  
Lingling Chen ◽  
Yuanyuan Zhang ◽  
Min Zeng
Keyword(s):  
Clustering Analysis ◽  
Large Data ◽  
Distance Matrix ◽  
The Internet ◽  
Relationship Matrix ◽  
Clustering Methods ◽  
Correlation Relationship ◽  
Credit Reporting ◽  
Financial Credit ◽  
Approximate Distance

Given that the traditional methods cannot perform clustering analysis on the Internet financial credit reporting directly and effectively, a kind of precise clustering analysis of internet financial credit reporting dependent on multidimensional attribute sparse large data is proposed. By measuring the overall distance between Internet financial credit reporting through the sparse large data with multidimensional attributes, the multidimensional attribute sparse large data are used to perform clustering analysis on the overall distance matrix and the component approximate distance matrix between the data, respectively. The correlation relationship between the Internet financial credit reporting under these two perspectives is taken into comprehensive consideration. Multidimensional attribute sparse large data pairs are used to reflect the comprehensive relationship matrix of the original Internet financial credit reporting to achieve clustering with relatively high quality. Numerical experiments show that compared with the traditional clustering methods, the method proposed in this paper can not only reflect the overall data features effectively, but also improve the clustering effect of the original Internet financial credit reporting data through the analysis of the correlation relationship between the important component attribute sequences.

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