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Applied Statistics and Econometrics : Basic Topics and Tools with Gretl and R

Kivedal, Bjørnar Karlsen - 2024

1. Introduction 2 -- Start using Gretl and R 3 -- Basic Material 4 -- Hypothesis testing 5 -- Simple linear regression 6 -- Multiple regression 7 -- Regression using dummy variables 8 -- Non linear models 9 -- Time series analysis 10 -- Other statistical tools.

Persistent link: https://www.econbiz.de/10014519030

Co-movements of the Indian stock market

Sudhakar, Aare; Sireesha, P. Bhanu - In: GITAM journal of management : a quarterly publication … 13 (2015) 2, pp. 40-59

Persistent link: https://www.econbiz.de/10011398114

Testing for common cyclical features in var models with cointegration

Hecq, Alain W. J.; Palm, Franz C.; Urbain, Jean-Pierre - 2001

We consider VAR models for variables exhibiting cointegration and common cyclical features. While the presence of … cointegration reduces the rank of the long-run multiplier matrix, other types of common features lead to rank reduction of the short …

Persistent link: https://www.econbiz.de/10011398127

Common trends and common cycles : Bayesian approach

Wróblewska, Justyna - In: Central European journal of economic modelling and … 7 (2015) 2, pp. 91-110

Persistent link: https://www.econbiz.de/10011429745

Are US real house prices stationary? : new evidence from univariate and panel data

Zhang, Jing; Jong, Robert M. de; Haurin, Donald R. - In: Studies in nonlinear dynamics and econometrics : SNDE ; … 20 (2016) 1, pp. 1-18

Persistent link: https://www.econbiz.de/10011431067

Export instability and economic growth in Nigeria : a time series analysis

Oladipo, Olajide Sunday - In: International journal of economics and business research 7 (2014) 4, pp. 476-501

Persistent link: https://www.econbiz.de/10011313892

The analysis of nonstationary time series using regression, correlation and cointegration

Johansen, Søren - In: Contemporary economics 6 (2012) 2, pp. 40-57

There are simple well-known conditions for the validity of regression and correlation as statistical tools. We analyse by examples the effect of nonstationarity on inference using these methods and compare them to model based inference using the cointegrated vector autoregressive model. Finally...

Persistent link: https://www.econbiz.de/10009767620