Farmland prices, structural breaks and panel data

2007 ◽  
Vol 34 (2) ◽  
pp. 161-179 ◽  
Author(s):  
Luciano Gutierrez ◽  
Joakim Westerlund ◽  
Kenneth Erickson
Keyword(s):  
Panel Data ◽  
Structural Breaks ◽  
Farmland Prices

scholarly journals Change Point Estimation in Panel Data without Boundary Issue

2016 ◽  
Author(s):  
Barbora Peštová ◽  
Michal Pešta
Keyword(s):  
Panel Data ◽  
Change Point ◽  
Structural Breaks ◽  
Break Point ◽  
Point Estimation ◽  
The Novel ◽  
Structure Estimation ◽  
Change Point Estimation ◽  
Point Estimator ◽  
First Time

Panel data of our interest consist of a moderate number of panels, while the panels contain a small number of observations. An estimator of common breaks in panel means without a boundary issue for this kind of scenario is proposed. In particular, the novel estimator is able to detect a common break point even when the change happens immediately after the first time point or just before the last observation period. Another advantage of the elaborated change point estimator is that it results in the last observation in situations with no structural breaks. The consistency of the change point estimator in panel data is established. The results are illustrated through a simulation study. As a by-product of the developed estimation technique, a theoretical utilization for correlation structure estimation, hypothesis testing, and bootstrapping in panel data is demonstrated. A practical application to non-life insurance is presented as well.

Wagner’s Law, Public Employment, and Spanish Regions

2018 ◽  
Vol 64 (3) ◽  
pp. 179-198
Author(s):  
Manuel Jaén-García
Keyword(s):  
Public Sector ◽  
Panel Data ◽  
Structural Breaks ◽  
Empirical Test ◽  
Unit Roots ◽  
Public Employment ◽  
Public Companies ◽  
The Public ◽  
Standard Tool ◽  
Definition Of

Abstract Following Peacock and Musgrave’s rediscovery of Wagner’s Law, the latter became a standard tool used in research on the relationship between growth of public spending and the factors by which it is influenced. However, conventional empirical tests are based on a specification error related to Wagner’s definition of the public sector, which he considered in its totality, including public companies. The present article attempts to correct this error and obtain an approximation to the size of the public sector by considering public employment as a whole, both in public administrations and services and in public companies. To this end, panel data for the Spanish autonomous regions are used in addition to data for the overall public sector. The empirical test is performed utilizing cointegration techniques and unit roots in panel data. Similarly, the possibility of structural breaks in the data is taken into consideration and they are estimated using fictitious variables. JEL classifications: H11; H50; E62 Keywords: public employment; gross domestic product; unit root; cointegration; panel data

scholarly journals Evaluating the EKC Hypothesis for the BCIM-EC Member Countries under the Belt and Road Initiative

2020 ◽  
Vol 12 (4) ◽  
pp. 1478 ◽  
Author(s):  
Arifur Rahman ◽  
S. M. Woahid Murad ◽  
Fayyaz Ahmad ◽  
Xiaowen Wang
Keyword(s):  
Panel Data ◽  
Carbon Emission ◽  
Structural Breaks ◽  
Energy Use ◽  
Trade Openness ◽  
Gdp Per Capita ◽  
Ekc Hypothesis ◽  
Long Run ◽  
Short Run ◽  
Per Capita

This paper attempts to examine the environmental Kuznets curve (EKC) hypothesis for the BCIM-EC (Bangladesh–China–India–Myanmar economic corridor) member countries under the Belt and Road Initiative (BRI) of China. Both time series and panel data are covered, with respect to carbon dioxide (CO2) emissions, GDP per capita, energy use, and trade openness. For panel data analysis, GDP per capita and energy consumption have positive effects on CO2, while the effect of the quadratic term of GDP per capita is negative in the short-run. However, the short-run effects do not remain valid in the long-run, except for energy use. Therefore, the EKC hypothesis is only a short-run phenomenon in the case of the panel data framework. However, based on the Autoregressive Distributed Lag (ARDL) approach with and without structural breaks, the EKC hypothesis exists in India and China, while the EKC hypothesis holds in Bangladesh and Myanmar with regard to disregarding breaks within the short-run. The long-run estimates support the EKC hypothesis of considering and disregarding structural breaks for Bangladesh, China, and India. The findings of the Dumitrescu and Hurlin panel noncausality tests show that there is a unidirectional causality that runs from GDP per capita to carbon emission, squared GDP to carbon emission, and carbon emission to trade openness. Therefore, the BCIM-EC under the BRI should not only focus on connectivity and massive infrastructural development for securing consecutive economic growth among themselves, but also undertake a long-range policy to cope with environmental degradation and to ensure sustainable green infrastructure.

scholarly journals Demand for money in the selected OECD countries: a time series panel data approach and structural breaks

2013 ◽  
Vol 45 (14) ◽  
pp. 1767-1776 ◽  
Author(s):  
Saten Kumar ◽  
Mamta B. Chowdhury ◽  
B. Bhaskara Rao
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Structural Breaks ◽  
Oecd Countries ◽  
Demand For Money

EXTERNAL SHOCKS, STRUCTURAL BREAKS AND UNEMPLOYMENT HYSTERESIS IN SELECTED ASIAN COUNTRIES

2019 ◽  
Vol 64 (03) ◽  
pp. 575-600
Author(s):  
QAISER MUNIR ◽  
SOOK CHING KOK ◽  
KASIM MANSUR
Keyword(s):  
Panel Data ◽  
Cross Section ◽  
Structural Breaks ◽  
Policy Implications ◽  
External Shocks ◽  
Asian Countries ◽  
Exogenous Shocks ◽  
Stationarity Test ◽  
The Cross ◽  
Panel Stationarity

This paper re-examines the hypothesis of unemployment hysteresis using panel data for 11 Asian countries for the period from 1980 to 2008. This study employs a variety of panel data unit root tests recently advanced by Bai and Ng (2004), Pesaran (2007) and Chang and Song (2009). The advantage of these tests is that they are able to exploit the cross-section variations of the series. In addition to these tests, a new powerful panel stationarity test proposed by Carrión-i-Silvestre et al. (2005) is applied which exploits the cross-section variations of the series and also allows for different numbers of endogenous breakpoints in the series. Our findings stress the importance of accounting exogenous shocks in the series and provide stronger evidence against the hypothesis of unemployment hysteresis for the countries analyzed. We also discover critical economic affairs which may cause the unemployment rates to fluctuate significantly. Policy implications are proposed through our observations.

The Convergence Behind the Curtain

2020 ◽  
pp. 89-120
Author(s):  
Olivia A. Habacivch ◽  
Ryan A. Redilla ◽  
James J. Jozefowicz
Keyword(s):  
Panel Data ◽  
Convergence Analysis ◽  
Structural Breaks ◽  
Strong Support ◽  
Time Frame ◽  
Unit Root Testing ◽  
Rural And Urban ◽  
Three Samples ◽  
Measures Of Dispersion ◽  
The Business Cycle

This chapter extends applications of unconditional and conditional β-convergence and unconditional σ-convergence analysis to Part I crime rates in a panel data sample of Pennsylvania counties during the period 1990-2015. Temporal structural breaks at specific points in the business cycle during the time frame and spatial breakpoints between rural and urban counties in Pennsylvania are acknowledged in the analysis in order to avoid spurious inferences regarding convergence behavior. Unit-root testing is performed on measures of dispersion as well as directly on the underlying crime-rate series via panel-data tests for non-stationarity. The findings support the existence of both unconditional and conditional β-convergence in the pooled, urban, and rural samples during 1990-2015. Visual and statistical evidence reveals the presence of σ-convergence in the three samples across the time span as well. The comprehensive convergence analysis of appropriately disaggregated data performed in this study offers strong support for the predictions of modernization theory.

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