Testing the stochastic implications of the life cycle-permanent income hypothesis using UK regional time-series data

2000 ◽  
Vol 32 (10) ◽  
pp. 1299-1310 ◽  
Author(s):  
Robert Gausden ◽  
Ian Alan Whitfield
Keyword(s):  
Time Series ◽  
Life Cycle ◽  
Time Series Data ◽  
Permanent Income ◽  
Series Data ◽  
Permanent Income Hypothesis

Age, Generations, and Participation

2017 ◽  
Author(s):  
Russell J. Dalton
Keyword(s):  
United States ◽  
Time Series ◽  
Life Cycle ◽  
Millennial Generation ◽  
Time Series Data ◽  
Direct Action ◽  
The United States ◽  
Series Data ◽  
Online Participation ◽  
Modes Of Action

Political scientists debate whether the Millennial generation is disengaging from politics in contemporary democracies. The ISSP surveys show that the generational decline in participation is largely limited to voting and other forms of partisan activity. At the same time, younger citizens are often more engaged in non-electoral activities, such as direct action, protest, and online participation. Time-series data for the United States disentangles the effects of life-cycle changes and generations. More recent generations display a clear decline in voting across the 1967–2014 period. In contrast, life-cycle increases in participation are more common for non-electoral activity. Both factors influence participation but in contrasting ways for different modes of action.

Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Exploratory Data

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

An Anomaly Detection Method with Exemplar Subsequence for Time Series Data

2016 ◽  
Vol 136 (3) ◽  
pp. 363-372
Author(s):  
Takaaki Nakamura ◽  
Makoto Imamura ◽  
Masashi Tatedoko ◽  
Norio Hirai
Keyword(s):  
Time Series ◽  
Anomaly Detection ◽  
Time Series Data ◽  
Detection Method ◽  
Series Data
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