A Review of Pseudo Panel Data Approach in Estimating Short-run and Long-run Public Transport Demand Elasticities

2014 ◽  
Vol 34 (1) ◽  
pp. 102-121 ◽  
Author(s):  
Chi-Hong (Patrick) Tsai ◽  
Corinne Mulley ◽  
Geoffrey Clifton
Keyword(s):  
Panel Data ◽  
Public Transport ◽  
Demand Elasticities ◽  
Long Run ◽  
Pseudo Panel ◽  
Short Run

Linkages Between Employment and Net FDI Inflow: Insights from Individual as Well as Panel Data for Emerging South Asian Labour Market

2020 ◽  
pp. 097215091987350
Author(s):  
Ramesh Chandra Das ◽  
Kamal Ray
Keyword(s):  
Panel Data ◽  
Error Correction ◽  
Labour Market ◽  
South Asian ◽  
Wald Test ◽  
Individual Country ◽  
Employment Level ◽  
Long Run ◽  
Short Run ◽  
Per Capita

In emerging labour market, particularly, the direct and indirect association between employment level and foreign direct investment (FDI) in a dynamic economy is non-deniable. Like private and public investments, FDI promotes employment generating agenda and at the same time, sound employment scenario of an economy attracts FDI to inflow. Under this backdrop, the present study attempts to examine whether employment and net FDI inflow have long-run associations and short-run dynamics in South Asian economies for the period 1991–2016. Applying cointegration and Granger causality tests for individual country level and panel cointegration, vector error correction and Wald test on the two standardized variables—employment–population ratio and per capita net FDI inflow—reveal that the two indicators have cointegrating relations for Bangladesh and Nepal and FDI makes a cause to employment generation in Bangladesh only. Further, the panel data exercise shows the existence of long-run or equilibrium relations linking the two indicators without significant error correction results. The Wald test results show that there is short-run causality working from employment ratio to per capita FDI and vice versa. The study, thus, prescribes for ensuring quality environment in the concerned domestic economies of the region so that employment opportunities invite FDI inflow to their territories.

Empirical Analysis of Long-Run Elasticities and Asymmetric Effects of Transit Demand Determinants

2020 ◽  
Vol 2674 (8) ◽  
pp. 274-284
Author(s):  
Lisa Li ◽  
Dena Kasraian ◽  
Amer Shalaby
Keyword(s):  
Policy Making ◽  
Demand Elasticity ◽  
Transit Planning ◽  
Dynamic Panel Model ◽  
Transit Service ◽  
Demand Elasticities ◽  
Transit Ridership ◽  
Long Run ◽  
Short Run ◽  
Transit Agencies

The effects of transit ridership determinants can be quantified as demand elasticities which are often used to inform transit planning and policy making. This study seeks to determine the impacts of transit service supply, fare, and gas prices on ridership by quantifying the short-run and long-run demand elasticities, as well as test whether transit ridership exhibits an asymmetric response to the rise and fall of these factors using a panel data of 99 Canadian transit agencies over the period of 2002–2016. The results of the dynamic panel model show the effects of transit service and fare to be greater in the long run. The short-run fare elasticity was found to be –0.24 while the long-run elasticity was –1.1. Furthermore, the demand elasticity with respect to service levels was also found to be inelastic (0.28) in the short run but elastic (1.3) in the long run. The cross-elasticity of gas prices was estimated to be 0.17. The existence of asymmetry was analyzed using decomposition techniques to separately estimate the coefficients for the rise and fall in each of the determinants. The equality of these coefficients was tested against each other and it was found that ridership responded more to an increase in transit supply than a decrease. The importance of these results to policy making are then discussed.

Exchange rate volatility and exports from India: a commodity-level panel data analysis

2019 ◽  
Vol 12 (1) ◽  
pp. 23-44
Author(s):  
Chandan Sharma
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Exchange Rate Volatility ◽  
Nominal Exchange Rate ◽  
Exchange Rate Risk ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThis study aims to examine the relationship between exchange rate risk and export at commodity level for the Indian case.Design/methodology/approachThe monthly panel data used for analysis are at a disaggregated level, which cover around 100 products, encompassing all merchandize sectors for the period spanning from 2012:12 to 2017:11. To measure the exchange rate volatility, the authors use real as well as nominal exchange rate concepts and predict the volatility of exchange rate using the autoregressive conditional heteroscedastic-based model. They use pooled mean group, mean group and common correlated effects mean group estimator that is suitable for the objectives and data frequency.FindingsThe empirical analysis indicates both short- and long-term negative effects of exchange rate variations on exporting. Specifically, in the long run, real exchange rate as well as nominal exchange rate volatility has significant effects on export performance, yet, the effects of uncertainty of nominal exchange rate is much severe and intense. In the short run, it is the nominal exchange rate uncertainty that hurts exports from India. Nevertheless, the short-run effect is much lesser than the long-run, supporting the argument that the short-term exchange rate risk can be hedged, at least partially, through financial instruments; however, uncertainty of the long-term horizon cannot be hedged easily and cost-effectively.Practical implicationsReducing uncertainty and attaining stability in exchange rate and price level should be an important policy objective in developing countries such as India to achieve higher export growth, both in the short and long run.Originality/valueUnlike previous studies, this paper tests the relationship using micro-level data and uses advanced econometric techniques that are likely to provide more precise information regarding the association between exchange rate volatility and trade flows.

scholarly journals Land Inequality and Economic Growth: A Meta-Analysis

2018 ◽  
Vol 10 (12) ◽  
pp. 4655 ◽  
Author(s):  
Maria Cipollina ◽  
Nadia Cuffaro ◽  
Giovanna D’Agostino
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Negative Impact ◽  
Credit Constraints ◽  
Meta Analysis ◽  
Land Inequality ◽  
Long Run ◽  
Short Run ◽  
Development Levels

Increasing commercial pressure on land may lead to land concentration in developing countries, especially in the context of complex systems of property rights. In this article we review through meta-analysis (MA) the econometric findings of the literature estimating the nexus between land inequality and economic growth. In particular, our MA controls for various features of the studies and for the so-called “publication bias,” and shows that land-inequality negatively affects economic growth, especially at low development levels. Analysis based on panel data, which generally imply a relatively short run perspective, typically report a lower or positive correlation between land inequality and growth, suggesting that the negative impact of land inequality emerges in the long run, possibly through credit constraints and institutional mechanisms.

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 Elasticities for Mobile Telecommunications in Austria

2008 ◽  
Vol 228 (1) ◽  
Author(s):  
Ralf Dewenter ◽  
Justus Haucap
Keyword(s):  
Dynamic Panel Data ◽  
Demand Elasticity ◽  
Mobile Telecommunications ◽  
Elasticity Of Demand ◽  
Demand Elasticities ◽  
Long Run ◽  
Short Run ◽  
Telecommunications Services ◽  
Using Data ◽  
Business Customers

SummaryThis paper analyses price elasticities in the Austrian market for mobile telecommunications services using data on firm specific tariffs in the period between January 1998 and March 2002. As a novelty compared to existing studies dynamic panel data regressions are used to estimate short-run and long-run demand elasticities for business customers and for private consumers with both postpaid contracts and prepaid cards.We find that business customers have a higher elasticity of demand than private consumers, where postpaid customers tend to have a higher demand elasticity than prepaid customers. Also demand is as expected more elastic in the long run. In addition, the paper also provides estimates for firm-specific demand elasticities which range from -0.47 to -1.1.

Estimation of Short-Run and Long-Run Elasticities of Energy Demand from Panel Data Using Shrinkage Estimators

1997 ◽  
Vol 15 (1) ◽  
pp. 90 ◽  
Author(s):  
G. S. Maddala ◽  
Robert P. Trost ◽  
Hongyi Li ◽  
Frederick Joutz
Keyword(s):  
Panel Data ◽  
Energy Demand ◽  
Shrinkage Estimators ◽  
Long Run ◽  
Short Run

scholarly journals Capital mobility in Latin American and Caribbean countries: new evidence from dynamic common correlated effects panel data modeling

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Vasudeva N. R. Murthy ◽  
Natalya Ketenci
Keyword(s):  
Panel Data ◽  
Error Correction ◽  
Latin American ◽  
Capital Mobility ◽  
Goods And Services ◽  
Stochastic Trends ◽  
Long Run ◽  
Common Correlated Effects ◽  
Short Run ◽  
Latin American And Caribbean

AbstractThis study investigates the degree of capital mobility in a panel of 16 Latin American and 4 Caribbean countries during 1960 to 2017 against the backdrop of the Feldstein-Horioka hypothesis by applying recent panel data techniques. This is the first study on capital mobility in Latin American and Caribbean countries to employ the recently developed panel data procedure of the dynamic common correlated effects modeling technique of Chudik and Pesaran (J Econ 188:393–420, 2015) and the error-correction testing of Gengenbach, Urbain, and Westerlund (Panel error correction testing with global stochastic trends, 2008, J Appl Econ 31:982–1004, 2016). These approaches address the serious panel data econometric issues of cross-section dependence, slope heterogeneity, nonstationarity, and endogeneity in a multifactor error-structure framework. The empirical findings of this study reveal a low average (mean) savings–retention coefficient for the panel as a whole and for most individual countries, as well as indicating a cointegration relationship between saving and investment ratios. The results indicate that there is a relatively high degree of capital mobility in the Latin American and Caribbean countries in the short run, while the long-run solvency condition is maintained, which is due to reduced frictions in goods and services markets causing increase competition. Increased capital mobility in these countries can promote economic growth and hasten the process of globalization by creating a conducive economic environment for FDI in these countries.

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