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.

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 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.

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 tourism developments on CO2 emissions: An advanced panel data estimation

2020 ◽  
Vol 33 ◽  
pp. 100611 ◽  
Author(s):  
Emrah Koçak ◽  
Recep Ulucak ◽  
Zübeyde Şentürk Ulucak
Keyword(s):  
Panel Data ◽  
Co2 Emissions ◽  
Panel Data Estimation ◽  
The Impact ◽  
Data Estimation

scholarly journals The Impact of IT Investment on Firm Performance in Bangladesh

2020 ◽  
Vol 19 (1) ◽  
pp. 31-46
Author(s):  
Mohammad Mizanur Rahman ◽  
Jannatul Ferdaous
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Behavioral Effect ◽  
Positive Influence ◽  
Panel Data Estimation ◽  
It Capability ◽  
Inductive Research ◽  
And Performance ◽  
The Impact ◽  
Data Estimation

Using the RBV as a theoretical backdrop, the study is intended to begin the line of inquiry: Do IT asset matter and improve the firm performance? This inductive research used panel data estimation technique for unbalanced panel data to measure, describe, and analyze the firm performance. The results reveal a mixed behavioral effect of IT asset on firm performance. The positive influence of IT asset on firm performance suggests that a firm should invest to develop IT infrastructure in order to effectively promote firm IT capability and performance. However, the inverse relationship between IT asset and firm performance suggests that IT intensive stocks are not performing well in the stock market of Bangladesh. The study explains the IT asset’s contribution to firm performance from RBV perspective in the context of Bangladesh as well as extends the literature in this field.

scholarly journals The role of Fiscal Institutional Context on primary balance. A case study for European country groups with cultural differences

2021 ◽  
pp. 1-10
Author(s):  
Dimitra Mitsi
Keyword(s):  
European Country ◽  
Cultural Differences ◽  
Fixed Effects ◽  
Institutional Context ◽  
Fiscal Rules ◽  
Estimation Methods ◽  
Macroeconomic Forecasting ◽  
Fiscal Institutions ◽  
Panel Data Estimation ◽  
The Impact

Many countries have introduced fiscal institutions (fiscal rules and fiscal councils) to deter fiscal indiscipline, reduce macroeconomic forecasting bias and enhance the credibility of fiscal policy. In this study, we use a theoretical model in order to examine how the existence of a fiscal council can reduce a country’s debt. In addition, we examine the impact of fiscal institutions on primary balance in 2 European country groups (PIIGCS and DFGNS countries) that have cultural differences. The analysis builds on panel data estimation methods of fixed effects and random effects depending on the Hausman test results. This study finds that the fiscal institutional context (frifc) has a positive and significant effect on PB. More specifically, we find that one change in fiscal institutional context improves PB by a factor of 0.925 and 1.181 in PIIGCS countries and DFGNS countries, respectively.

scholarly journals Fiscal Decentralization and Disparity of Access to Primary Education in Indonesia

2013 ◽  
Vol 14 (2) ◽  
pp. 223
Author(s):  
Shinta Doriza ◽  
Deniey Adi Purwanto ◽  
Ernita Maulida
Keyword(s):  
Panel Data ◽  
Socioeconomic Factors ◽  
Primary Education ◽  
Fiscal Decentralization ◽  
Education Level ◽  
Education Access ◽  
Regional Characteristic ◽  
Panel Data Estimation ◽  
The Impact ◽  
Data Estimation

In education, one crusial issue of development is the disparity of primary education access. Using 440 regions database from 2005-2009, this study is aim to analize the impact of fiscal decentralization in reducing the enrolement of primary education in Indonesia. Three factors were included, i.e fiscal decentralization, socioeconomic factors and regional characteristics. The result of panel data estimation using fixed-effect approach on this study is that DAK for Education, DAK Non Education, and PAD have significant impact in reducing education acess disparity along with poverty and regional characteristic such as Java-non Java regions. For education level, another variable was also found significant including education of the society and regional characteristic such as proliferated-non proliferated regions. In general there is a facts and proves that fiscal decentralization improve education access equality, but several effort need to done to optimalize the equalization of primary education access in Indonesia.

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.

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