Welfare-based income insecurity in the us and germany: evidence from harmonized panel data

2020 ◽  
Vol 176 ◽  
pp. 226-243
Author(s):  
Nicholas Rohde ◽  
Kam Ki Tang ◽  
Conchita D’Ambrosio ◽  
Lars Osberg ◽  
Prasada Rao
Keyword(s):  
Panel Data ◽  
The Us ◽  
Income Insecurity

Essays in applied economics

2019 ◽  
Author(s):  
◽  
Rebecca L. Whitworth
Keyword(s):  
Panel Data ◽  
Overlapping Generations ◽  
Value Added ◽  
Bond Market ◽  
Applied Economics ◽  
Corporate Debt ◽  
Overlapping Generations Model ◽  
Fiat Money ◽  
The Us ◽  
Value Added Modeling

This dissertation examines several themes in applied economics. Specifically, Essay 1 examines the dynamics in an overlapping generations model with three-period lived agents, fiat money, and credit, Essay 2 reviews literature on value-added modeling and discusses a paper previously published, Essay 3 concludes by examining efficiency in the US bond market. While Essay 1 examines dynamics and 2 reviews tools used in estimating panel data, Essay 3 combines elements of both-empirically evaluating the efficiency of the bond market by looking at the movement of prices through time. That is, deriving the integral over t of the bond spread. While opportunities for more work exists, this paper suggests that the US Bond Market (the market for corporate debt) is informationally efficient, though it takes longer to converge than previously reported in the literature.

Comparison of International Differences in the Volatility of Economic Growth and Non-Performing Loan Ratio: A Statistical Study Based on the Quantile Regression Model

2017 ◽  
Vol 21 (6) ◽  
pp. 1094-1101
Author(s):  
Song Qin ◽  
Zhenlei Wang ◽  
◽  
◽  
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Quantile Regression ◽  
Regression Models ◽  
Banking Sector ◽  
Statistical Study ◽  
Quantile Regression Model ◽  
The Us ◽  
The Impact ◽  
The Relationship

What is the level of non-performing loans in China’s banking sector and in different countries? Has the relationship between economic growth and the non-performing loan ratio changed? Is there a difference in the effect of the economic growth of different economies on the rate of non-performing loans in the banking sector? This study analyzes the relationship between economic growth and the non-performing loan ratios and characteristics of 13 countries from 2005-2014 based on quantile regression models with panel data. The results showed that the relationship between economic growth and the non-performing loan ratio was positive before the financial crisis in 2008 but was negative after 2008. The non-performing loan ratio in Canada, Mexico, and the US was low before 2008 and high after 2008. The impact of economic growth on the non-performing loan ratio was more significant for countries with a high non-performing loan ratio than for countries with a low non-performing loan ratio.

scholarly journals Taxation and the International Mobility of Inventors

2016 ◽  
Vol 106 (10) ◽  
pp. 2930-2981 ◽  
Author(s):  
Ufuk Akcigit ◽  
Salomé Baslandze ◽  
Stefanie Stantcheva
Keyword(s):  
Panel Data ◽  
Multinational Companies ◽  
European Patent ◽  
Tax Rates ◽  
International Mobility ◽  
Location Choices ◽  
Differential Impact ◽  
Tax Rate ◽  
The Us

We study the effect of top tax rates on “superstar” inventors' international mobility since 1977, using panel data on inventors from the US and European Patent Offices. We exploit the differential impact of changes in top tax rates on inventors of different qualities. Superstar inventors' location choices are significantly affected by top tax rates. In our preferred specification, the elasticity to the net-of-tax rate of the number of domestic superstar inventors is around 0.03, while that of foreign superstar inventors is around 1. These elasticities are larger for inventors in multinational companies. An inventor is less sensitive to taxes in a country if his company performs a higher share of its research there. (JEL F22, F23, H24, H31, J61, O31, O34)

scholarly journals Awareness, Partisanship and the Post-Convention Bounce: A Memory-Based Model of Post-Convention Presidential Candidate Evaluations Part II—Empirical Results

2005 ◽  
Vol 3 (4) ◽  
Author(s):  
Justin Grimmer
Keyword(s):  
Panel Data ◽  
Presidential Election ◽  
Presidential Candidate ◽  
Presidential Election Of 2000 ◽  
Empirical Results ◽  
Political Partisanship ◽  
The Us ◽  
Candidate Evaluations ◽  
Us Presidential Election ◽  
Using Data

This paper continues an analysis, begun in the December 2004 issue, that employed panel data to estimate the effects of awareness and political partisanship on post-convention candidate evaluations. The derivation of a theoretical framework was discussed in Part 1 [1]. Empirical results using data from the US presidential election of 2000 are discussed in the present article. We find that partisans of the opposite party were more resistant to the convention message of Bush than Gore, that awareness played a greater role in determining a predicted post-convention change for Gore, and that Gore’s message was received and accepted at a higher rate than Bush’s message.

scholarly journals Measuring Job Creation, Growth, and Survival among the Universe of Start-ups in the United States Using a Combined Start-up Panel Data Set

ILR Review ◽  
2019 ◽  
Vol 72 (5) ◽  
pp. 1262-1277 ◽  
Author(s):  
Robert W. Fairlie ◽  
Javier Miranda ◽  
Nikolas Zolas
Keyword(s):  
United States ◽  
Panel Data ◽  
The United States ◽  
Future Research ◽  
Data Set ◽  
Growth And Survival ◽  
Start Up ◽  
The Us ◽  
Start Ups ◽  
The Universe

The field of entrepreneurship is growing rapidly and expanding into new areas. This article presents a new compilation of administrative panel data on the universe of business start-ups in the United States, which will be useful for future research in entrepreneurship. To create the US start-up panel data set, the authors link the universe of non-employer firms to the universe of employer firms in the Longitudinal Business Database (LBD). Start-up cohorts of more than five million new businesses per year, which create roughly three million jobs, can be tracked over time. To illustrate the potential of the new start-up panel data set for future research, the authors provide descriptive statistics for a few examples of research topics using a representative start-up cohort.

Islamic banks’ fee income, characteristics and risk: Panel data analysis evidence from Indonesia

2018 ◽  
Vol 6 (1) ◽  
pp. 6 ◽  
Author(s):  
Siti Sarah Mat Isa ◽  
Masturah Ma’in ◽  
Azlina Hanif
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Operating Income ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Us ◽  
The Relationship

One of the non-operating income in Islamic banking operation, which is fee income has become progressively vital in expanding their income to counter decreasing net earnings due to rivalry from other financial competitors. However, it is important for Islamic banks to find out any potential risk that will distress their performance due to this activity. This is because, mixed results on this issue derived from the previous studies especially in the Western context such as in the US, Germany and other European countries. Using Indonesian Islamic bank’s quarter data between 2009 and 2013, this study adopts the panel data regression analysis to examine the relationship between Indonesian Islamic banks fee income and risk. The empirical results signified that fee income activities able to reduce Indonesian Islamic bank’s risk.  

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