Urban Metro Rail Demand: Evidence from Dynamic Generalized Method of Moments Estimates using Panel Data

2018 ◽  
Vol 2672 (8) ◽  
pp. 288-296 ◽  
Author(s):  
Shane Canavan ◽  
Daniel J. Graham ◽  
Richard J. Anderson ◽  
Alexander Barron
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Moments Estimates

Using information from singletons in fixed-effects estimation: xtfesing

2020 ◽  
Vol 20 (4) ◽  
pp. 965-975
Author(s):  
Laura Magazzini ◽  
Randolph Luca Bruno ◽  
Marco Stampini
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Fixed Effects ◽  
Generalized Method Of Moments ◽  
Panel Data Regression ◽  
Data Regression ◽  
Method Of Moments Estimator ◽  
Fixed Effects Estimation

In this article, we describe the xtfesing command. The command implements a generalized method of moments estimator that allows exploiting singleton information in fixed-effects panel-data regression as in Bruno, Magazzini, and Stampini (2020, Economics Letters 186: Article 108519).

scholarly journals Determinants of Basmati Exports from Pakistan: A Panel Data Analysis

2021 ◽  
Vol 3 (1) ◽  
pp. 12-18
Author(s):  
Muhammad Munwar Hayat ◽  
Raheela Khatoon
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Negative Impact ◽  
Positive Impact ◽  
Panel Data Analysis ◽  
Generalized Method Of Moments ◽  
Trading Partner ◽  
Dummy Variable ◽  
Export Competitiveness ◽  
The Impact

This paper aims to estimate the impact of different factors of basmati exports from Pakistan to its trading partner. Results are obtained by using the Generalized Method of Moments (GMM) model and panel data methodology with a sample of 22 countries for the period of 2003-2019. To estimate the impact of different variables on basmati exports Generalized Method of Moments (GMM) model is used on the panel dataset. The results revealed that the inflation rate of Pakistan has a negative and significant effect on the export competitiveness of Pakistani basmati. The exchange rate of Pakistan has a positive and significant impact on the basmati export, the population of Pakistan has a negative and significant impact on basmati export. Basmati production in Pakistan also has a significant and negative impact on basmati export. The Gross Domestic Product (GDP) of Pakistan has a significant and positive impact on the basmati export while the GDP of the trading partner has a significant and negative impact on the basmati export. The dummy variable for joint border also has a positive and significant impact on basmati exports of Pakistan.

scholarly journals The Effect of COVID-19 Pandemic on Corporate Dividend Policy in Indonesia: The Static and Dynamic Panel Data Approaches

Economies ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Georgina Maria Tinungki ◽  
Robiyanto Robiyanto ◽  
Powell Gian Hartono
Keyword(s):  
Panel Data ◽  
Dynamic Model ◽  
Method Of Moments ◽  
Capital Market ◽  
Dividend Policy ◽  
Generalized Method Of Moments ◽  
Dynamic Panel Data ◽  
Positive Signal ◽  
Dynamic Panel ◽  
The Capital Market

This research examines the effect of the crisis due to the COVID-19 pandemic on dividend policy in Indonesia. The purposive sampling method was used to collect data from corporates listed on the IDX from 2014 to 2020 and analyzed using static and dynamic panel data approaches. The fixed-effect models (FEM) were selected for the static panel data regression. Meanwhile, the first difference-generalized method of moments (FD-GMM) and system-generalized method of moments (SYS-GMM) were used for determine the robustness of the estimated dynamic panel data. The results showed that the crisis due to the pandemic led to higher dividend distribution on SYS-GMM. Furthermore, companies maintained the dividend level as a positive signal for investors which lifted the sluggish trade condition in the capital market. Profitability and previous year dividends positively affect dividend policy robustly. Furthermore, the results showed that age affects dividend policy on FD-GMM. Financial leverage has a robust effect, and firm size has an effect on FD-GMM in different directions, while investment opportunity does not affect dividend policy. Statistically, the FEM selected that violates the best linear unbiased estimation was proven to form parameters that were not much different from the estimates produced by the dynamic model, both from the coefficient of influence direction and significance, and the omitted variable bias occurs as evidenced in the robust test with dynamic model was solved. This research is also used as a reference for considering investors’ investment decisions in the new normal condition. Therefore, dividend policy can be considered as a positive signal to investors with the ability to stock trading activities in the capital market.

scholarly journals Governance quality impact on health economics in selected countries: The panel data approach

2015 ◽  
Vol 4 (2) ◽  
pp. 148-154
Author(s):  
Parvaneh Salatin ◽  
Naahid Noorpoor
Keyword(s):  
Panel Data ◽  
Health Economics ◽  
Life Expectancy ◽  
Least Squares ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Generalized Least Squares ◽  
Middle Income ◽  
Middle Income Countries ◽  
Governance Quality

The purpose of this paper is investigating the theoretical relationship between the effectiveness of governance quality on health economics in selected middle-income countries, using panel data. The Results of the estimation by using the Method of Generalized Least Squares (GLS) & Generalized Method of Moments (GMM) in selected countries for the period 2002-2011 show that governance quality has positive & significant effect on the life expectancy as an index showing the health economics in the group of the selected countries.

The employment effects of offshoring: evidence from Korean manufacturing

2016 ◽  
Vol 20 (1) ◽  
pp. 21-34
Author(s):  
Sang-Chul Yoon
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Design Methodology ◽  
Generalized Method Of Moments ◽  
Employment Relationship ◽  
Content Type ◽  
Trade Specialization ◽  
Employment Effects ◽  
Negative Effect ◽  
First Time

Purpose – The purpose of this paper is to analyze the offshoring-employment relationship under globalization in Korean manufacturing for the period from 1998 to 2010 using industry-level panel data and Generalized Method of Moments. Design/methodology/approach – For the first time in the literature the type of trade specialization is taken into account, distinguishing manufacturing between export-specialized and import-specialized industries. Findings – There is evidence that materials and services offshoring have a significantly negative effect on employment in export-specialized industries. In contrast, there is a non-significant association in import-specialized industries. Research limitations/implications – These results may cast new light on the offshoring-employment relationship. Originality/value – Major contribution of this paper is that it sheds new light on the effect of offshoring on employment by distinguishing export-specialized industries from import-specialized industries.

scholarly journals Applications of Generalized Method of Moments Estimation

2001 ◽  
Vol 15 (4) ◽  
pp. 87-100 ◽  
Author(s):  
Jeffrey M Wooldridge
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Least Squares ◽  
Cross Section ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Ordinary Least Squares ◽  
Estimation Problems ◽  
Method Of Moments Estimation ◽  
Moments Estimators

I describe how the method of moments approach to estimation, including the more recent generalized method of moments (GMM) theory, can be applied to problems using cross section, time series, and panel data. Method of moments estimators can be attractive because in many circumstances they are robust to failures of auxiliary distributional assumptions that are not needed to identify key parameters. I conclude that while sophisticated GMM estimators are indispensable for complicated estimation problems, it seems unlikely that GMM will provide convincing improvements over ordinary least squares and two-stage least squares--by far the most common method of moments estimators used in econometrics--in settings faced most often by empirical researchers.

scholarly journals How Heterogeneous Are the Determinants of Total Factor Productivity in Manufacturing Sectors? Panel-Data Evidence from Vietnam

Economies ◽  
2020 ◽  
Vol 8 (3) ◽  
pp. 57
Author(s):  
Quang-Thanh Ngo ◽  
Quang-Van Tran ◽  
Tien-Dung Nguyen ◽  
Trung-Thanh Nguyen
Keyword(s):  
Panel Data ◽  
Total Factor Productivity ◽  
Method Of Moments ◽  
Small Firms ◽  
Generalized Method Of Moments ◽  
Firm Characteristics ◽  
Factor Productivity ◽  
Total Capital ◽  
Manufacturing Sectors ◽  
The Government

One of the remaining challenges in explaining differences in total factor productivity is heterogeneity between sectors and within a specific sector in terms of labor and capital. This paper employs the generalized method of moments (GMM) to identify factors that affect total factor productivity across 21 manufacturing sectors and to clarify the heterogeneous determinants of total factor productivity within manufacturing sectors for the period 2010–2015. Our estimations show that large firms have significantly greater total factor productivity levels than small firms in some fragmentations of firms in terms of both labor and total capital and in some manufacturing sectors. It is suggested that firm characteristics should be considered by the government in establishing relevant policies for enhancing firm productivity.

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