scholarly journals Time series decomposition and measurement of business cycles, trends and growth cycles

2006 ◽  
Vol 53 (7) ◽  
pp. 1717-1739 ◽  
Author(s):  
Victor Zarnowitz ◽  
Ataman Ozyildirim
2021 ◽  
Vol 5 (1) ◽  
pp. 26
Author(s):  
Karlis Gutans

The world changes at incredible speed. Global warming and enormous money printing are two examples, which do not affect every one of us equally. “Where and when to spend the vacation?”; “In what currency to store the money?” are just a few questions that might get asked more frequently. Knowledge gained from freely available temperature data and currency exchange rates can provide better advice. Classical time series decomposition discovers trend and seasonality patterns in data. I propose to visualize trend and seasonality data in one chart. Furthermore, I developed a calendar adjustment method to obtain weekly trend and seasonality data and display them in the chart.


2016 ◽  
Vol 106 (5) ◽  
pp. 208-213 ◽  
Author(s):  
Giuseppe Moscarini ◽  
Fabien Postel-Vinay

The canonical model of job search and wage posting (Burdett and Mortensen, 1998) establishes a natural connection between the average wage growth in the economy and the pace of Employer-to-Employer (EE) transitions, predicting wage growth to be positively related to the pace of EE reallocation for all workers, but especially for stayers. We verify this empirically both with aggregate time series and with longitudinal micro data from the Survey of Income and Program Participation (SIPP). We argue that monetary authorities concerned with inflationary wage pressure should pay more attention directly to EE reallocation and less to the unemployment rate.


2018 ◽  
Vol 2 (1) ◽  
pp. 72-100
Author(s):  
Abdelsalam BOUKHEROUFA

The main objective of this paper is to highlight the most important shocks that drives the business cycles in the Algerian economy. Using Bayesian estimation techniques, we estimate a dynamic stochastic general equilibrium model (DSGE) using four time series of the Algerian macroeconomics. Through this estimated model, which succeeded in capturing the dynamics of the Algerian economy data, we found three main results: First, the main causes of business cycle fluctuations in the Algerian economy are aggregate demand shocks. Second, the of government spending shock play the most important role in output fluctuations. Third, empirical results show evidences of procyclical in government spending policies.


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