scholarly journals Drought and Property Prices: Empirical Evidence from Provinces of Iran

2020 ◽  
Author(s):  
Mohammad Reza Farzanegan ◽  
Mehdi Feizi ◽  
Hassan F. Gholipour
Keyword(s):  
Panel Data ◽  
Dynamic System ◽  
Fixed Effects ◽  
Time Trend ◽  
Land Prices ◽  
Property Prices ◽  
Generalized Methods Of Moments ◽  
The Difference ◽  
Methods Of Moments ◽  
Positive Effect

AbstractThis study examines the effect of drought on housing and residential land prices in Iran. Using panel data covering the 2006–2015 period for 31 provinces of Iran and applying a dynamic system and the difference Generalized Methods of Moments (GMM) methods, we find that an increase in the balance of water (reducing the severity of drought) within provinces has a positive effect on property prices. Our results are robust, controlling for province fixed effects, time trend, and a set of control variables that may affect property prices.

scholarly journals LA INSERCIÓN COMERCIAL DE CHINA EN LATINOAMÉRICA

2019 ◽  
Vol 78 (310) ◽  
pp. 137
Author(s):  
Jorge Alberto López Arévalo ◽  
Óscar Rodil Marzábal
Keyword(s):  
Costa Rica ◽  
Free Trade ◽  
Fixed Effects ◽  
Bilateral Trade ◽  
Free Trade Agreements ◽  
Trade Agreements ◽  
Trade Integration ◽  
Negative Effect ◽  
The Difference ◽  
Positive Effect

<p>Este trabajo estudia los intercambios bilaterales de China con México, Chile, Costa Rica y Perú desde la óptica del comercio intraindustrial durante 1995-2017. En particular, se analizan las diferencias en el patrón de inserción intraindustrial en un contexto marcado por la existencia (Chile, Costa Rica y Perú) o no (México) de acuerdos de libre comercio con China. El estudio se completa con un análisis econométrico (efectos fijos) de los determinantes del comercio intraindustrial. Los resultados muestran una inserción de bajo perfil intraindustrial, con la excepción de algunas partidas específicas relativas a productos eléctricos y de la industria automotriz. Por otro lado, se confirma el efecto positivo del tamaño de la economía, de la inversión extranjera directa y de la diferenciación de producto, así como negativo de la diferencia en el nivel de ingreso; mientras que existe una indefinición en el papel de los acuerdos de libre comercio con China.<br /><br /></p><p>THE TRADE INTEGRATION OF CHINA IN LATIN AMERICA</p><p> </p><p><strong>ABSTRACT</strong><br />This paper studies China’s bilateral trade with Mexico, Chile, Costa Rica and Peru from the perspective of intra-industrial trade during 1995-2017. In particular, the differences in the pattern of intra-industrial insertion are analyzed in a context characterized by the existence (Chile, Costa Rica and Peru) or not (Mexico) of free trade agreements with China. An econometric analysis (fixed effects) of the determinants of intra-industrial trade completes the study. The results show a low intra-industrial profile, except for some specific items related to electrical products and the automotive industry. The positive effect of the size of the economy, foreign direct investment and product differentiation is also confirmed, as well as the negative effect of the difference in income level. However, there is an undefined role for free trade agreements with China.</p>

scholarly journals Asymmetric Fixed Effects Models for Panel Data

2018 ◽  
Author(s):  
Paul D Allison
Keyword(s):  
Logistic Regression ◽  
Panel Data ◽  
Opposite Direction ◽  
Difference Method ◽  
Fixed Effects ◽  
Regression Models ◽  
Social Phenomena ◽  
Logistic Regression Models ◽  
Fixed Effects Models ◽  
The Difference

Standard fixed effects methods presume that effects of variables are symmetric: the effect of increasing a variable is the same as the effect of decreasing that variable but in the opposite direction. This is implausible for many social phenomena. York and Light (2017) showed how to estimate asymmetric models by estimating first-difference regressions in which the difference scores for the predictors are decomposed into positive and negative changes. In this paper, I show that there are several aspects of their method that need improvement. I also develop a data generating model that justifies the first-difference method but can be applied in more general settings. In particular, it can be used to construct asymmetric logistic regression models.

scholarly journals Asymmetric Fixed-effects Models for Panel Data

2019 ◽  
Vol 5 ◽  
pp. 237802311982644 ◽  
Author(s):  
Paul D. Allison
Keyword(s):  
Logistic Regression ◽  
Panel Data ◽  
Opposite Direction ◽  
Difference Method ◽  
Fixed Effects ◽  
Regression Models ◽  
Social Phenomena ◽  
Logistic Regression Models ◽  
Fixed Effects Models ◽  
The Difference

Standard fixed-effects methods presume that effects of variables are symmetric: The effect of increasing a variable is the same as the effect of decreasing that variable but in the opposite direction. This is implausible for many social phenomena. York and Light showed how to estimate asymmetric models by estimating first-difference regressions in which the difference scores for the predictors are decomposed into positive and negative changes. In this article, I show that there are several aspects of their method that need improvement. I also develop a data-generating model that justifies the first-difference method but can be applied in more general settings. In particular, it can be used to construct asymmetric logistic regression models.

scholarly journals Determinants of the Solvency of Insurance Companies in Palestine

2019 ◽  
Vol 10 (6) ◽  
pp. 188
Author(s):  
Yousef Abdel Latif Abdel Jawad ◽  
Issam Ayyash
Keyword(s):  
Quantitative Analysis ◽  
Panel Data ◽  
Fixed Effects ◽  
Financial Statements ◽  
Insurance Companies ◽  
Insignificant Effect ◽  
Analysis Methods ◽  
Negative Effect ◽  
The Relationship ◽  
Positive Effect

The study aimed to investigate the factors that affect the solvency of the insurance companies in Palestine and to highlight the nature and strength of the relationship between liquidity, investment, leverage, claims and the solvency of the insurance companies in Palestine.To achieve the objectives of the study, the descriptive and quantitative analysis methods were used in the study. Based on the data of the financial statements of seven insurance companies (out of 9 companies) and by using regression of fixed effects of panel data for 2010-2017, the study found that the claims have a positive effect on the financial solvency and leverage has a negative effect on the solvency of insurance companies in Palestine, while investment and liquidity have an insignificant effect on financial solvency.

scholarly journals Education and Economic Growth in Developing Countries: Empirical Evidence from GMM Estimators for Dynamic Panel Data

2021 ◽  
Vol 34 (1) ◽  
pp. 14-29
Author(s):  
Wafa Sebki
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Panel Data ◽  
Tertiary Education ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Negative Effect ◽  
The Difference ◽  
Difference Gmm ◽  
Positive Effect

Abstract The paper aims at studying the effect of education measured by enrolment ratios in secondary and higher education on economic growth measured by the rate of GDP growth in a sample of 40 developing countries during the period from 2002 to 2016 using the dynamic panel data estimators. The results of estimating the model of this study using the difference GMM estimator or what is known as the Arellano and Bond estimator showed that the proportions of those enrolled in tertiary education had a significant positive effect on economic growth, while the proportions of those enrolled in secondary education had a significant negative effect.

scholarly journals Tourism Specialization, Absorptive Capacity, and Economic Growth

2016 ◽  
Vol 56 (4) ◽  
pp. 423-435 ◽  
Author(s):  
Glauco De Vita ◽  
Khine S. Kyaw
Keyword(s):  
Economic Growth ◽  
Absorptive Capacity ◽  
System Development ◽  
Financial System ◽  
Policy Implications ◽  
Level Of Economic Development ◽  
Generalized Methods Of Moments ◽  
Methods Of Moments ◽  
The Relationship ◽  
Positive Effect

This article investigates the relationship between tourism specialization and economic growth while accounting for the absorptive capacity of host (tourism destination) countries, defined in terms of financial system development. We use the system generalized methods-of-moments (SYS-GMM) estimation methodology to investigate this relationship for 129 countries over the period 1995–2011. The results support the hypothesis that the positive effect of tourism specialization on growth is contingent on the level of economic development as well as the financial system absorptive capacity of recipient economies. Consistent with the law of diminishing returns, we also find that for countries with a developed financial system, at exponential levels of tourism specialization, its effect on growth turns negative. Significant policy implications flow from these findings.

Does Corruption Facilitate Growth? A Cross-national Study in a Non-linear Framework

2017 ◽  
Vol 6 (2) ◽  
pp. 178-193
Author(s):  
Shrabani Saha ◽  
Girijasankar Mallik ◽  
Dimitrios Vortelinos
Keyword(s):  
Fixed Effects ◽  
Jel Classification ◽  
National Study ◽  
Alternative Measure ◽  
Linear Framework ◽  
Non Linear ◽  
Generalized Methods Of Moments ◽  
Panel Fixed Effects ◽  
Cross National Study ◽  
Methods Of Moments

The article examines the corruption–growth relationship in a non-linear framework using panel fixed effects (FE) and system generalized methods of moments (SGMM) model for over 110 countries for the period 1984–2009. The results reveal that the least corrupt countries enjoy higher growth rates, whereas highly corrupt countries experience low growth. Furthermore, corruption has a positive and significant effect on economic growth up to a certain level and thereafter it reduces growth. The results are robust under various methodology and an alternative measure of corruption. JEL Classification: D73, O47, O50

Retirement and memory in Europe

2015 ◽  
Vol 36 (7) ◽  
pp. 1434-1458 ◽  
Author(s):  
LAURA BIANCHINI ◽  
MARGHERITA BORELLA
Keyword(s):  
Panel Data ◽  
Instrumental Variable ◽  
Fixed Effects ◽  
Word Recall ◽  
Individual Heterogeneity ◽  
Variable Technique ◽  
Data Set ◽  
Memory Measure ◽  
Measure Word ◽  
Positive Effect

ABSTRACTWe investigate the effect of retirement on memory using the Survey on Health, Ageing and Retirement in Europe (SHARE). The availability of a panel data-set allows individual heterogeneity to be controlled for when estimating the effect of transitions into retirement on a commonly employed memory measure, word recall. We control for endogeneity of the retirement decision applying an instrumental variable technique to our fixed-effects transformation. Our main finding is that, conditional on the average non-linear memory age path of the typical individual, time spent in retirement has a positive effect on word recall.

scholarly journals On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data

2020 ◽  
pp. 1-11 ◽  
Author(s):  
Kosuke Imai ◽  
In Song Kim
Keyword(s):  
Panel Data ◽  
Causal Inference ◽  
Fixed Effects ◽  
Regression Models ◽  
Applied Research ◽  
Causal Effects ◽  
Difference In Differences ◽  
The Difference ◽  
Fixed Effects Regression ◽  
Time Specific

Abstract The two-way linear fixed effects regression (2FE) has become a default method for estimating causal effects from panel data. Many applied researchers use the 2FE estimator to adjust for unobserved unit-specific and time-specific confounders at the same time. Unfortunately, we demonstrate that the ability of the 2FE model to simultaneously adjust for these two types of unobserved confounders critically relies upon the assumption of linear additive effects. Another common justification for the use of the 2FE estimator is based on its equivalence to the difference-in-differences estimator under the simplest setting with two groups and two time periods. We show that this equivalence does not hold under more general settings commonly encountered in applied research. Instead, we prove that the multi-period difference-in-differences estimator is equivalent to the weighted 2FE estimator with some observations having negative weights. These analytical results imply that in contrast to the popular belief, the 2FE estimator does not represent a design-based, nonparametric estimation strategy for causal inference. Instead, its validity fundamentally rests on the modeling assumptions.

scholarly journals Effect of the Utilization of Non-Reciprocal Trade Preferences offered by the QUAD on Economic Complexity in Beneficiary Countries

2021 ◽  
Author(s):  
Sèna Kimm GNANGNON
Keyword(s):  
Jel Classification ◽  
Development Aid ◽  
Product Diversification ◽  
Economic Complexity ◽  
Generalized System ◽  
Generalized System Of Preferences ◽  
Generalized Methods Of Moments ◽  
Trade Preferences ◽  
Methods Of Moments ◽  
Positive Effect

Abstract This article aims to contribute to the nascent literature on the effect of non-reciprocal trade preferences (NRTPs) on industrialization in beneficiary countries. In so doing, it complements the few existing works on the effect of NRTPs on export product diversification by investigating the effect of NRTPs (both the Generalized System of Preferences- GSP programs- and other non-reciprocal trade preferences) offered by the QUAD countries on the level of economic complexity in beneficiary countries. The analysis has relied on 110 beneficiary countries of these NRTPs over the period 2002–2018, and made primarily use of the two-step system Generalized Methods of Moments estimator. The findings are quite interesting. First, beneficiary countries tend to use GSP programs (rather than other trade preferences) to achieve greater economic complexity, and the positive effect of the utilization of GSP programs on economic complexity is higher for high income beneficiary countries than relatively less advanced beneficiary countries. Second, both GSP programs and other non-reciprocal trade preferences are strongly complementary in promoting economic complexity in beneficiary countries, in particular if their usage reach high levels. Third, the utilization of NRTPs enhances economic complexity in countries that receive high foreign direct investment flows. Finally, development aid flows are strongly complementary with the utilization of NRTPs in fostering economic complexity in beneficiary countries, especially for high amounts of development aid. This suggests the need for preference-granting countries (that are also suppliers of development aid) to offer both generous NRTPs and higher development aid flows if those NRTPs are to be effective in expanding the manufacturing base in the beneficiary countries.Jel Classification: F13; F14; O14.

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