scholarly journals Income Inequality and Political Polarization: Time Series Evidence Over Nine Decades

2015 ◽  
Vol 62 (3) ◽  
pp. 445-466 ◽  
Author(s):  
John V. Duca ◽  
Jason L. Saving
Keyword(s):  
Time Series ◽  
Income Inequality ◽  
Political Polarization

scholarly journals Income Inequality and Political Polarization: Time Series Evidence Over Nine Decades

2014 ◽  
Vol 2014 (1408) ◽  
Author(s):  
John V. Duca ◽  
◽  
Jason L. Saving ◽  
Keyword(s):  
Time Series ◽  
Income Inequality ◽  
Political Polarization

scholarly journals Financialisation and the slowdown of labour productivity in Portugal: A post-Keynesian approach

2021 ◽  
Author(s):  
Diogo Correia ◽  
Ricardo Barradas
Keyword(s):  
Time Series ◽  
Income Inequality ◽  
Economic Performance ◽  
Labour Productivity ◽  
Personal Income ◽  
Integration Process ◽  
Income Share ◽  
Portuguese Economy ◽  
The Portuguese Economy

The aim of this paper is to conduct a time series econometric analysis in order to empirically evaluate the role of financialisation in the slowdown of labour productivity in Portugal during the period from 1980 to 2017. During that time, the Portuguese economy faced a financialisation phenomenon due to the European integration process and the corresponding imposition of a strong wave of privatisation, liberalisation and deregulation of the Portuguese financial system. At the same time, Portuguese labour productivity exhibited a sustained downward trend, which seems to contradict the well-entrenched mainstream hypothesis on the finance–productivity nexus. Based on the post-Keynesian literature, we identify four channels through which the phenomenon of financialisation has impaired labour productivity, namely weak economic performance, the fall in labour’s share of income, the rise of inequality in personal income and an intensification of the degree of financialisation. The paper finds that lagged labour productivity, economic performance and labour income share positively impact labour productivity in Portugal, while personal income inequality and the degree of financialisation negatively impact labour productivity in Portugal. The paper also finds that the main triggers for the slowdown of labour productivity in Portugal are the degree of financialisation and personal income inequality over the last decades.

scholarly journals Income Inequality from 1960–2012: A Brief Time-Series History of Capital and Labour

2014 ◽  
Vol 22 (1) ◽  
pp. 88-101
Author(s):  
Eoin Flaherty
Keyword(s):  
Time Series ◽  
Income Inequality ◽  
Time Series Analysis ◽  
National Income ◽  
Financial Sector ◽  
Total Income ◽  
Series Analysis ◽  
Top Incomes ◽  
History Of ◽  
The 1960S

This commentary examines two principal forms of inequality and their evolution since the 1960s: the division of national income between capital and labour, and the share of total income held by the top 1 per cent of earners. Trends are linked to current discussions of inequality drivers such as financialisation, and a brief time-series analysis of the effects of trade and financial sector growth on top incomes is presented.

Political Polarization and Income Inequality

2003 ◽  
Author(s):  
Nolan M. McCarty ◽  
Keith T. Poole ◽  
Howard Rosenthal
Keyword(s):  
Income Inequality ◽  
Political Polarization

scholarly journals Is the Current Trend of Income Inequality Sustainable?

2019 ◽  
Vol 11 (19) ◽  
pp. 5329 ◽  
Author(s):  
Sungmun Choi
Keyword(s):  
Time Series ◽  
Steady State ◽  
Income Inequality ◽  
Gini Index ◽  
Current Trend ◽  
Time Series Models ◽  
Economic Problems ◽  
Long Run ◽  
Academic Researchers ◽  
Very High

Rising income inequality has become a major concern for policymakers and academic researchers. Very high levels of income inequality may result in serious social, political, and economic problems. In this paper, I analyze the trend of Gini index, which is the most commonly used measure for income inequality, to see if the current trend is sustainable in the long run for OECD and major non-OECD countries. Specifically, I use autoregressive time series models to test the sustainability of income inequality. I first analyze the Gini index to see if the time series is stationary and has a steady-state value below 1. If the series has a unit root, I take the first difference and check if the first difference is stationary and has a 0 or negative steady-state value. Results show that while many countries show signs of sustainability, there are a few countries that do not.

Monetary Policy and the Top 10%: A Time-Series Analysis Using ARDL and ECM

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Nadeen Omar ◽  
Christian Richter
Keyword(s):  
Time Series ◽  
Monetary Policy ◽  
Interest Rate ◽  
Income Inequality ◽  
Dynamic Models ◽  
Short Term ◽  
Main Hypothesis ◽  
Income Share ◽  
Distributed Lag ◽  
The Impact

Abstract For the past decades, income inequality has been on the rise, and so is the frequency of its mentions in recent speeches by central bankers. With the heightened importance of the topic, this research aims to study the impact of monetary policy on income inequality. The study used dynamic models for the analysis, namely; the Error-correction Model (ECM) and the Auto-regressive Distributed Lag (ARDL) model to determine the relationship in both the short- and long-run. The data used were the top 10% income share and the short-term interest rate. Our main hypothesis is that changes in the short-term interest rate have a significant impact on the top 10% income share. We draw time-series evidence from a sample of nine economies at different stages of development: United States, United Kingdom, Russia, Germany, France, Greece, China, South Africa and Chile. The findings support the hypothesis with interestingly varying effects across our sample. These results provide important implications that can contribute in bettering policy setting and add to the discussion of the role of central banks in reducing income inequality.

Sign in / Sign up

Export Citation Format

Share Document