scholarly journals Telecommunication Infrastructure Development and FDI into Asian Developing Nations

2021 ◽  
Vol 5 (1) ◽  
pp. 91-102
Author(s):  
DR. MUMTAZ HUSSAIN SHAH ◽  
FAISAL KHAN
Keyword(s):  
Fixed Effects ◽  
Developing Nations ◽  
Standard Errors ◽  
Market Size ◽  
Infrastructure Development ◽  
Panel Estimation ◽  
Telecommunication Infrastructure ◽  
High Inflation ◽  
Asian Developing Countries ◽  
Telecom Infrastructure

This study strives to evaluate the effects of infrastructure availability and development on foreign direct investment (FDI) in host developing nations.Employing fixed effects panel estimation technique, panel data for 23 Asian developing countries, from 1990-2009 is used with heteroscedasticity corrected standard errors. The results reveal a strong favourable impact of telecom infrastructure (measured by mobile subscriptions) in drawing inward FDI. Therefore, it is concluded that a country with improved infrastructure in general and telecom infrastructure in particular is likely to pull in more FDI. Other variables such as market size, economic development, and currency valuation (measured by exchange rate) appear important in captivating multinational investors, as they exhibit significant coefficients. On the contrary, high-inflation significantly deters inward FDI.

scholarly journals Understanding, Choosing, and Unifying Multilevel and Fixed Effect Approaches

2020 ◽  
pp. 1-20
Author(s):  
Chad Hazlett ◽  
Leonard Wainstein
Keyword(s):  
Random Effects ◽  
Fixed Effects ◽  
Multilevel Models ◽  
Standard Errors ◽  
Point Estimate ◽  
Fe Model ◽  
Grouped Data ◽  
Coefficient Estimates ◽  
Political Science Education ◽  
Robust Standard Errors

Abstract When working with grouped data, investigators may choose between “fixed effects” models (FE) with specialized (e.g., cluster-robust) standard errors, or “multilevel models” (MLMs) employing “random effects.” We review the claims given in published works regarding this choice, then clarify how these approaches work and compare by showing that: (i) random effects employed in MLMs are simply “regularized” fixed effects; (ii) unmodified MLMs are consequently susceptible to bias—but there is a longstanding remedy; and (iii) the “default” MLM standard errors rely on narrow assumptions that can lead to undercoverage in many settings. Our review of over 100 papers using MLM in political science, education, and sociology show that these “known” concerns have been widely ignored in practice. We describe how to debias MLM’s coefficient estimates, and provide an option to more flexibly estimate their standard errors. Most illuminating, once MLMs are adjusted in these two ways the point estimate and standard error for the target coefficient are exactly equal to those of the analogous FE model with cluster-robust standard errors. For investigators working with observational data and who are interested only in inference on the target coefficient, either approach is equally appropriate and preferable to uncorrected MLM.

scholarly journals Local labor market size and qualification mismatch

2018 ◽  
Vol 19 (6) ◽  
pp. 1261-1286
Author(s):  
Francesco Berlingieri
Keyword(s):  
Labor Market ◽  
Fixed Effects ◽  
Agglomeration Economies ◽  
Market Size ◽  
Local Labor Market ◽  
Skill Mismatch ◽  
Large Cities ◽  
Urban Wage Premium ◽  
Urbanized Areas ◽  
The One

Abstract This paper investigates the effect of the size of the local labor market on skill mismatch. Using survey data for Germany, I find that workers in large cities are both less likely to be overqualified for their job and to work in a different field than the one for which they trained. Different empirical strategies are employed to account for the potential sorting of talented workers into more urbanized areas. Results on individuals who have never moved away from the place in which they grew up and fixed effects estimates obtaining identification through regional migrants suggest that sorting does not fully explain the existing differences in qualification mismatch across areas. This provides evidence of the existence of agglomeration economies through better matches. However, lower qualification mismatch in larger cities is found to explain at best a small part of the urban wage premium.

scholarly journals PENGARUH PEMBANGUNAN INFRASTRUKTUR TELEKOMUNIKASI TERHADAP PERTUMBUHAN EKONOMI DI ASEAN

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Galih adi Prasetyo
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Dynamic Panel Data ◽  
Infrastructure Development ◽  
Method Of Moment ◽  
Telecommunications Infrastructure ◽  
Telecommunication Infrastructure ◽  
Asean Countries ◽  
Urbanization Rate ◽  
The Impact

Abstract This study aims to determine the effect of the development of telecommunications infrastructure to economic growth in ASEAN. Generalized Method of Moment (GMM) is used to test how telecommunication infrastructure development to economic growth in ASEAN. This study uses a dynamic panel data from 10 ASEAN countries in the period 2000-2013. Variables used in this research is the GDP growth, the development of telecommunication infrastructure index, foreign direct investment, trade openness, and urbanization rate. Tests were performed using STATA 13.0 software shows the use sys-GMM better than diff-GMM. The results of this study indicate the development of telecommunications infrastructure significantly affect economic growth but had negative relationships. Based on the theory of demand following hypothesis (DFH) economic growth leads to the development of telecommunications infrastructure. The impact of telecommunications infrastructure development is only emerge through the product or outcome of economic growth. Telecommunications infrastructure development is considered as the impact of economic growth continues to increase.

scholarly journals Analysis Of Effect Of Social And Economic Infrastructure Development To The Economy Of Coastal Areas In East Java Province

2017 ◽  
Vol 1 (1) ◽  
pp. 21-36
Author(s):  
Gigih Pratomo
Keyword(s):  
Coastal Area ◽  
Fixed Effects ◽  
Social Economic ◽  
Secondary Data ◽  
Sampling Technique ◽  
Coastal Areas ◽  
Least Square ◽  
Infrastructure Development ◽  
Fixed Effects Model ◽  
Fem Method

Developing countries are always faced with various economic development challenges (Todaro, 2000). Development of social economic Infrastructures has an important factor to influence the level of Gross Domestic Product. In coastal areas, infrastructure development is low and not optimal utilization. This study aims to determine the effects of development of social economic Infrastructures to the economy of coastal area in East Java Province during the perion 2008-2015. This study uses secondary data and samples taken by purposive random sampling technique that is the district/city of Banyuwangi, Jember, Probolinggo, Trenggalek, Sumenep, Sampang, Bangkalan, Lamongan, Gresik, Malang, dan kota Surabaya. This study uses panel data Fixed Effects Model (FEM) method with Generalized Least Square (GLS) cross section weight.The results of this study indicate that the variable of number school building, roads, and electricities significantly and positively effect to the economy of coastal area in East Java Province.

scholarly journals The Impact of Inflation Volatility on an Enterprise’s Innovation Strategy

2019 ◽  
Vol 8 (12) ◽  
pp. 193-197
Keyword(s):  
Fixed Effects ◽  
Negative Impact ◽  
Generalized Method Of Moments ◽  
Estimation Method ◽  
Innovation Strategy ◽  
Potential Output ◽  
Economic Agents ◽  
Inflation Volatility ◽  
High Inflation ◽  
The Impact

The objective of the study was to determine the effect of inflation volatility on an enterprise's innovation strategy. The study showed that increasing inflation leads to a decrease in the stationary level of potential output, as well as to a decrease in the rate of economic growth in the process of transition to a stationary state. A formula is proposed for calculating the total effect of inflation on the level of enterprise output. The negative impact of the inflation rate on the welfare of economic agents was revealed, which is expressed in the fall in their equilibrium consumption level. Higher-income countries have been shown to suffer more from high inflation than poorer countries. All conclusions made in the analysis of the dynamic model of the impact of inflation on potential output are verified based on econometric modelling using methods and models for panel data: models with fixed effects, models with random effects, and a generalized method of moments. Moreover, the obtained empirical results are stable concerning changes in the specification of the equation and estimation method

An Empirical Study on Unique Sustainability Nexus

2019 ◽  
pp. 123-145
Author(s):  
Megha Jain ◽  
Aishwarya Nagpal
Keyword(s):  
Environmental Performance ◽  
Capital Accumulation ◽  
Fixed Effects ◽  
Model Development ◽  
Developing Nations ◽  
Environmental Damage ◽  
Kuznets Curve ◽  
Holistic Review ◽  
Flow Variables ◽  
Developed Nations

In order to understand the role of sustainability in the era of development, the broader purpose of the chapter is to examine the quantitative linkages between HDI and environmental performance for the selected developed and developing nations from 2002 to 2017. To test if the degree of economic expansion and standard of living has a systematic relationship with the level of environmental deterioration (existence of Kuznets curve hypotheses) in a country, the study employs fixed effects panel modeling on the selected country set. Several other macroeconomic and capital flow variables are considered in the extended empirical model development in order to supplement the holistic review of the situation. In addition, the study finds its novelty by considering relevant governance indicators in order to map the umbrella view. The findings of the panel analysis discover HDI to be positively associated with EPI, depicting higher human capital accumulation leading to lower environmental damage and better environmental performance. Additionally, the results confirm the deviation from EKC hypotheses in the context of developing nations while the same is established in case of developed nations.

Review of Infrastructure Development and Its Financing in India

Paradigm ◽  
2020 ◽  
Vol 24 (1) ◽  
pp. 109-126
Author(s):  
Reena Agrawal
Keyword(s):  
Regional Integration ◽  
Business Models ◽  
Developing Nations ◽  
Bond Market ◽  
Supply Side ◽  
Infrastructure Development ◽  
Municipal Bond ◽  
Reserve Bank ◽  
Private Participation ◽  
Reserve Bank Of India

Infrastructure is one of the most crucial pillars of productivity in any economy. Pushing infrastructure development and particularly organizing funds for infrastructure projects have been the biggest challenge in developing nations. The present study was taken up to review the infrastructure development and its financing in India. The study intended to (1) study the infrastructure development in India in the 11th and 12th Five Year Plan, (2) examine the sources used for infrastructure financing in India, (3) assess the actions taken by government to facilitate infrastructure financing and (4) propose measures to augment infrastructure financing to overcome infrastructure deficit in the country. It was found that though Government of India and Reserve Bank of India have taken several initiatives to facilitate infrastructure financing, there still exists a vast gap between supply side and the demand side. Some of the recommendations given in the paper include the need to evolve innovative business models and mitigate administrative glitches to ensure larger private participation; exploit the untapped potential of diaspora; revisit the statutory liquidity ratio norms for banks; evolve the municipal bond market; boost regional integration and improved connectivity through creation of corridors between sub-continental regions, which would not only bridge the finance gap but also the knowledge gap, etc.

Polluted Morality: Air Pollution Predicts Criminal Activity and Unethical Behavior

2018 ◽  
Vol 29 (3) ◽  
pp. 340-355 ◽  
Author(s):  
Jackson G. Lu ◽  
Julia J. Lee ◽  
Francesca Gino ◽  
Adam D. Galinsky
Keyword(s):  
Air Pollution ◽  
Law Enforcement ◽  
Unethical Behavior ◽  
Fixed Effects ◽  
Causal Effect ◽  
Theoretical Perspective ◽  
Criminal Activity ◽  
Health Costs ◽  
Standard Errors ◽  
Clean Environment

Air pollution is a serious problem that affects billions of people globally. Although the environmental and health costs of air pollution are well known, the present research investigates its ethical costs. We propose that air pollution can increase criminal and unethical behavior by increasing anxiety. Analyses of a 9-year panel of 9,360 U.S. cities found that air pollution predicted six major categories of crime; these analyses accounted for a comprehensive set of control variables (e.g., city and year fixed effects, population, law enforcement) and survived various robustness checks (e.g., balanced panel, nonparametric bootstrapped standard errors). Three subsequent experiments involving American and Indian participants established the causal effect of psychologically experiencing a polluted (vs. clean) environment on unethical behavior. Consistent with our theoretical perspective, results revealed that anxiety mediated this effect. Air pollution not only corrupts people’s health, but also can contaminate their morality.

scholarly journals ANALISIS PENGARUH UTANG BERBASIS BUNGA DAN PENDAPATAN NON-HALAL TERHADAP NILAI PERUSAHAAN EMITEN SAHAM SYARIAH

2018 ◽  
Vol 4 (2) ◽  
pp. 103
Author(s):  
Muhammad Adlan ◽  
Imron Mawardi
Keyword(s):  
Panel Data ◽  
Firm Value ◽  
Fixed Effects ◽  
Lower Portion ◽  
Standard Errors ◽  
Fixed Effects Models ◽  
Total Debt ◽  
Robust Standard Errors ◽  
Operating Revenue

This study aims to determine whether interest-based debt limitation and non-halal income limitation have significant effect on the firm value. Sharia stock issuers in Indonesia are obliged to pass several conditions set by the market regulator, some of them are limitations of the interest-based debt and non-halal income. This study assumes that the lower portion of interest-based debt and non-halal income, the more the investors will prefer the stocks, thus increasing the firm value. The subjects of this study are the companies listed on JII period 2013-2017. This study measures interest-based debt with ratio of interest-based debt devided by total debt, measures non-halal income with ratio of non-halal income divided by operating revenue, and measures the value of the firm with PBV. The analysis of this study using panel data regressions with fixed effects models with robust standard errors. The results shows that interest-based debt and non-halal income have no effects on the value of the firm, partially and simultaneously

scholarly journals The effects of misspecifying the random part of multilevel models

Methodology ◽  
2020 ◽  
Vol 16 (3) ◽  
pp. 224-240
Author(s):  
David M. LaHuis ◽  
Daniel R. Jenkins ◽  
Michael J. Hartman ◽  
Shotaro Hakoyama ◽  
Patrick C. Clark
Keyword(s):  
Effect Size ◽  
Fixed Effects ◽  
Multilevel Model ◽  
Multilevel Models ◽  
The Other ◽  
Standard Errors ◽  
Moderate Effect Size ◽  
Moderate Effect ◽  
Level 1 ◽  
Random Part

This paper examined the amount bias in standard errors for fixed effects when the random part of a multilevel model is misspecified. Study 1 examined the effects of misspecification for a model with one Level 1 predictor. Results indicated that misspecifying random slope variance as fixed had a moderate effect size on the standard errors of the fixed effects and had a greater effect than misspecifying fixed slopes as random. In Study 2, a second Level 1 predictor was added and allowed for the examination of the effects of misspecifying the slope variance of one predictor on the standard errors for the fixed effects of the other predictor. Results indicated that only the standard errors of coefficient relevant to that predictor were impacted and that the effect size for the bias could be considered moderate to large. These results suggest that researchers can use a piecemeal approach to testing multilevel models with random effects.

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