The Analysis of Interregional Migrations in Polandi n the Period of 2004-2010 using Panel Gravity Model
Journal Title: Dynamic Econometric Models - Year 2012, Vol 12, Issue 1
Abstract
The paper discusses the problem of migration in spatial and temporal perspective. The objective is to evaluate the intensity and direction of selected economic variables impact on the volume of interregional migration flows in Poland in 2004-2010. The analysis was performed using panel gravity model with fixed effects. The socio-economic situation and especially the level of salaries determine migration directions in Poland. Significant movements keep occurring between economically stronger regions. They indicate tendencies towards obtaining positive net migration.
Authors and Affiliations
Michał Pietrzak, Natalia Drzewoszewska, Justyna Wilk
Keywords
Related Articles
- EP ID EP161600
- DOI -
- Views 61
- Downloads 0
Quantile Forecasting in Operational Planning and Inventory Management – an Initial Empirical Verification
In the paper we present our initial results of an empirical verification of different methodologies of quantile forecasting used in operational management to calculate the re-order point or order-up-to level as well as t...
Forecasting Financial Processes by Using Diffusion Models
Time series forecasting is one of the most important issues in the financial econometrics. In the face of growing interest in models with continuous time, as well as rapid development of methods of their estimation, we t...
The Share of European Economies in the Process of Convergence of Long-term Interest Rates in the EU in the Period of 2006–2016
The paper refers to the process of convergence of interest rates of ten-year government bonds emitted by EU countries. It is an attempt to assess the participation of particular European economies in this process. The pr...
Volatility Estimators in Econometric Analysis of Risk Transfer on Capital Markets
The purpose of the research is to compare the performance of different volatility measures while used in testing for causality in risk between several emerging and mature capital markets. The following volatility estimat...
The Application of Hidden Markov Models to the Analysis of Real Convergence
This paper employs hidden Markov models and the Viterbi path to analyze the process of real convergence. Such an approach combines the analysis of cyclical and income-level convergence. Twelve macroeconomic variables in...