scholarly journals Panel Data Estimation Methods on Supply and Demand Elasticities: The Case of Cotton in Greece

2011 ◽  
Vol 43 (1) ◽  
pp. 111-129 ◽  
Author(s):  
Christina Kotakou
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Statistical Significance ◽  
Supply And Demand ◽  
Estimation Methods ◽  
Farm Size ◽  
Data Sets ◽  
Panel Data Estimation ◽  
Cotton Price ◽  
Data Estimation

This article examines the effects of the application of panel data estimation methods on a system of equations with unbalanced panel data. We apply pooled, random-effects, and fixed-effects estimation in three data sets: small, medium, and large farms to examine the relationship between farm size and the elasticity of cotton supply with respect to cotton price. Our results indicate that the adoption of various estimation methods entails different estimated parameters both in terms of their absolute value and in terms of their statistical significance. Additionally, the elasticity of cotton supply with respect to price varies according to farm size.

scholarly journals Added-variable plots for panel-data estimation

2020 ◽  
Vol 20 (1) ◽  
pp. 30-50
Author(s):  
John Luke Gallup
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Regression Line ◽  
Estimation Methods ◽  
Panel Data Estimation ◽  
Regression Parameters ◽  
Added Variable Plots ◽  
Relationship Of ◽  
The Impact ◽  
Data Estimation

In this article, I extend the theory of added-variable plots to three panel-data estimation methods: fixed effects, between effects, and random effects. An added-variable plot is an effective way to show the correlation between an independent variable and a dependent variable conditional on other independent variables. In a multivariate context, a simple scatterplot showing x versus y is not adequate to show the relationship of x with y, because it ignores the impact of the other covariates. Added-variable plots are also useful for spotting influential outliers in the data that affect the estimated regression parameters. Stata can display added-variable plots with the command avplot, but it can be used only after regress. My new command, xtavplot, is a postestimation command that creates added-variable plots after xtreg estimates. Unlike avplot, xtavplot can display a confidence interval around the fitted regression line.

Forced Displacement in Colombia: What Determines Expulsion and Reception in Municipalities?

2014 ◽  
Vol 20 (4) ◽  
pp. 585-597 ◽  
Author(s):  
Ximena Dueñas ◽  
Paola Palacios ◽  
Blanca Zuluaga
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Independent Variables ◽  
Panel Data Estimation ◽  
Vector Decomposition ◽  
Displaced People ◽  
Time Invariant ◽  
Data Estimation ◽  
Conflict Intensity ◽  
Municipal Level

AbstractThis document explores the expulsion and reception determinants of displaced people among Colombian municipalities. For this purpose, we use fixed effects panel data estimations for the period 2004–2009, with municipality year as the unit of analysis. To the best of our knowledge, this is the first paper in Colombia that focuses on reception and the first one using panel data at municipal level to explain expulsion and reception. We find that, contrary to what one may expect, some independent variables affect both expulsion and reception of displaced people in the same direction; for instance, municipalities where homicide rates and conflict intensity are high, are associated with both higher reception and expulsion rates. In addition to the conventional panel data estimation, we also run a fixed effect vector decomposition to identify the explicit effects of certain time-invariant variables.

The Impact of FDI Inflows and Outflows on Economic Growth: An Empirical Study of some Developed and Developing Countries

2019 ◽  
Vol 6 (1) ◽  
pp. 129-157
Author(s):  
Younis Ali Ahmed ◽  
Roshna Ramzi Ibrahim
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Fixed Effects ◽  
Positive Impact ◽  
Developed Countries ◽  
Fdi Inflows ◽  
Panel Data Estimation ◽  
The Impact ◽  
Data Estimation

FDI is an investment including a long-term relationship and reflecting a lasting interest and control of a resident entity in one economy. FDI is a combination of capital, technology, marketing and management. Based on the Neoclassical, Exogenous and modern theories FDI has a positive role in accelerating economic growth and development. Many countries are improving their economy in order to attract FDI.  The main objective of this study is to examine the impact of FDI inflows and outflows on economic growth of developed countries such as (USA, UK and France) and developing countries such as (Malaysia, Turkey and Iran) from (1980 to 2017). To accomplish that, ARDL approach and panel data estimation were used. The empirical findings reveal that the FDI inflows and outflows for developed countries (US and UK) have a positive impact on economic growth (GDP), while the FDI inflows of France have a negative impact. Nevertheless, FDI inflows and outflows for developing countries of (Malaysia, Turkey, and Iran) have a positive impact on economic growth. The result of panel data estimation shows that Fixed effects model is appropriate for estimating the parameters. In conclusion, Developing countries should diversify their FDI inflows and outflows to cover all the sectors and they should benefit from the developed countries’ experiences with higher impact of FDI on economic growth.

scholarly journals Exchange Rate Volatility and Domestic Consumption: A Comparative Study of Developed, Developing and Emerging Economies

2019 ◽  
Vol 9 (3) ◽  
pp. 164
Author(s):  
Muhammad Zubair Chishti ◽  
Hafiz Syed Muhammad Azeem ◽  
Farrukh Mahmood ◽  
Adeel Ahmed Sheikh
Keyword(s):  
Exchange Rate ◽  
Panel Data ◽  
Developing Economies ◽  
Exchange Rate Volatility ◽  
Domestic Consumption ◽  
Aggregate Consumption ◽  
Developed Economies ◽  
Panel Data Estimation ◽  
The Exchange Rate ◽  
Data Estimation

The current study endeavors to explore the effects of oscillations in the exchange rate on the household aggregate consumption of developed, emerging, and developing economies, employing the panel data from 1995 to 2017. To select an appropriate panel data estimation technique, we apply Brush-Pagan & Hausman Tests for each set of chosen economies. Further, our study deduces that, in the case of developed economies, the oscillations in the exchange rate, significantly, affect the domestic consumption, supporting Alexander’s (1952) conjecture. However, in the case of emerging and developing economies, aggregate consumption does not respond to the exchange rate volatility.

scholarly journals Bias correction methods for dynamic panel data models with fixed effects

2017 ◽  
Vol 6 (2) ◽  
pp. 58
Author(s):  
Mohamed Abonazel
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Generalized Method Of Moments ◽  
Dynamic Panel Data ◽  
Estimation Methods ◽  
Time Dimension ◽  
Dynamic Panel ◽  
Cross Sectional ◽  
Cross Sectional Dimension ◽  
Ls Estimator

This paper considers the estimation methods for dynamic panel data (DPD) models with fixed effects, which suggested in econometric literature, such as least squares (LS) and generalized method of moments (GMM). These methods obtain biased estimators for DPD models. The LS estimator is inconsistent when the time dimension (T) is short regardless of the cross-sectional dimension (N). Although consistent estimates can be obtained by GMM procedures, the inconsistent LS estimator has a relatively low variance and hence can lead to an estimator with lower root mean square error after the bias is removed. Therefore, we discuss in this paper the different methods to correct the bias of LS and GMM estimations. The analytical expressions for the asymptotic biases of the LS and GMM estimators have been presented for large N and finite T. Finally; we display new estimators that presented by Youssef and Abonazel [40] as more efficient estimators than the conventional estimators.

Does earnings transparency affect corporate payout decisions?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yogesh Chauhan ◽  
Rajesh Pathak
Keyword(s):  
Path Analysis ◽  
Fixed Effects ◽  
Financial Constraints ◽  
Dividend Policy ◽  
Cash Dividend ◽  
Content Type ◽  
Listed Firms ◽  
Panel Data Estimation ◽  
Signaling Hypothesis ◽  
Data Estimation

PurposeThe paper examines how earnings transparency affects dividend payouts for Indian firms. The authors also explore the channels through which earnings transparency affects dividend payouts.Design/methodology/approachThe authors employ panel data estimation with fixed effects to examine the role of earnings transparency on dividend payouts. The authors also use path analysis to explore causation. The paper uses a sample of more than 2000 Indian listed firms, over the period 2001–2016.FindingsThe authors report that firms showing grater earning transparency pay more cash dividend. Their results do not support the signaling hypothesis about the dividend. However, these results provide explicit support to the theory that corporate dividend policy is an outcome of information asymmetry. Moreover, the path analysis reveals the effect of earnings transparency on corporate payout through the financial constraint channel. The results are robust to idiosyncratic controls; alternate measures of payout; alternate models; endogeneity concerns; and the alternate channel of returning money to stockholders.Practical implicationsManagers should also examine earnings transparency while formulating an adequate dividend policy for their firms. This study also helps investors to identify dividend-paying stocks.Originality/valueThis study particularly contributes to the literature examining the effect of earnings quality on dividend payouts through its effect on financial constraints. We, therefore, connect two streams of research that contemplate the relation between accounting-based information variables and dividend payouts and the relationship between financial constraints and dividend payouts. Moreover, using path analysis uniquely, the authors provide evidence on the relative importance of both the direct and the indirect link.

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