Cross-National Test of the Theory

2018 ◽  
Author(s):  
Ekrem Karakoç
Keyword(s):  
Method Of Moments ◽  
Research Question ◽  
Generalized Method Of Moments ◽  
Panel Data Models ◽  
Multivariate Statistical ◽  
Political Factors ◽  
Large N ◽  
National Test ◽  
Cross National

The previous chapter posed the primary research question and offered a new theory that encompassed two interrelated arguments. This chapter produces three hypotheses derived from the new theory offered in Chapter 2. Chapter 3 tests these arguments in a large-N study using multivariate statistical analysis. The first section discusses the operationalization of our main dependent and independent variables. It will also briefly outline a set of control variables and what the literature predicts regarding their effect on spending and inequality. These factors range from economic factors (globalization, inflation, female labor participation, economic development), political factors (partisanship, electoral systems, election cycle), and demographic factors. To correct for problems associated with the nature of panel data models, such as endogeneity, heteroskedasticity, and autocorrelation, it uses the Arellano-Bond estimation, which uses the Generalized Method of Moments. The rest of the chapter presents the results and offers its interpretation and conclusion.

scholarly journals GMM ESTIMATION AND INFERENCE IN DYNAMIC PANEL DATA MODELS WITH PERSISTENT DATA

2009 ◽  
Vol 25 (5) ◽  
pp. 1348-1391 ◽  
Author(s):  
Hugo Kruiniger
Keyword(s):  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Dynamic Panel Data ◽  
Panel Data Models ◽  
Finite Sample ◽  
Time Dimension ◽  
Dynamic Panel ◽  
Weak Instruments ◽  
Distributional Properties ◽  
Persistent Data

In this paper we consider generalized method of moments–based (GMM-based) estimation and inference for the panel AR(1) model when the data are persistent and the time dimension of the panel is fixed. We find that the nature of the weak instruments problem of the Arellano–Bond (Arellano and Bond, 1991,Review of Economic Studies58, 277–297) estimator depends on the distributional properties of the initial observations. Subsequently, we derive local asymptotic approximations to the finite-sample distributions of the Arellano–Bond estimator and the System estimator, respectively, under a variety of distributional assumptions about the initial observations and discuss the implications of the results we obtain for doing inference. We also propose two Lagrange multiplier–type (LM-type) panel unit root tests.

scholarly journals Taiwan’s opening policy to Chinese tourists and cross-strait relations: The impacts on inbound tourism into Taiwan

2018 ◽  
Vol 26 (1) ◽  
pp. 27-44
Author(s):  
Chih-Yuan Lin ◽  
Mateus Lee
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Enhancement Effect ◽  
Panel Data Models ◽  
Country Level ◽  
Negative Effect ◽  
Chinese Tourists ◽  
The Impact ◽  
Positive Effect

This article aims to analyze the impact of Taiwan’s 2008 opening policy to Chinese tourists and the effects of cross-strait relations on both Chinese and non-Chinese inbound tourists into Taiwan, with controls in place for other factors. Using annual country-level panel data over the 2000–2016 period, along with the application of the generalized method of moments approach and several static panel data models, the empirical results suggest that while Taiwan’s opening policy to Chinese tourists has had an enhancement effect, there has been no crowding-out effect on either Chinese or non-Chinese inbound tourists into Taiwan. In addition, the cross-strait relations are found to have a negative effect on non-Chinese inbound tourists, but a positive effect on Chinese inbound tourists visiting Taiwan. We conclude that, compared to non-Chinese inbound tourists into Taiwan, the Chinese inbound tourists into Taiwan is both economically and politically oriented.

scholarly journals NONPARAMETRIC ESTIMATION OF VARYING COEFFICIENT DYNAMIC PANEL DATA MODELS

2008 ◽  
Vol 24 (5) ◽  
pp. 1321-1342 ◽  
Author(s):  
Zongwu Cai ◽  
Qi Li
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Dynamic Panel Data ◽  
Data Models ◽  
Panel Data Models ◽  
Discrete Variables ◽  
Dynamic Panel ◽  
Dynamic Panel Data Models ◽  
Individual Variations

We suggest using a class of semiparametric dynamic panel data models to capture individual variations in panel data. The model assumes linearity in some continuous/discrete variables that can be exogenous/endogenous and allows for nonlinearity in other weakly exogenous variables. We propose a nonparametric generalized method of moments (NPGMM) procedure to estimate the functional coefficients, and we establish the consistency and asymptotic normality of the resulting estimators.

Social Mobility and Political Instability

2017 ◽  
Vol 63 (1) ◽  
pp. 85-111 ◽  
Author(s):  
Christian Houle
Keyword(s):  
Social Mobility ◽  
Civil Wars ◽  
Recent Literature ◽  
Political Instability ◽  
Economic Inequality ◽  
Political Stability ◽  
Large N ◽  
Political Unrest ◽  
National Test ◽  
Cross National

Does social mobility foster political stability? While there is a vibrant literature on the effect of economic inequality on political unrest, the recent literature has remained silent about the effect of social mobility on instability. Yet, inequality and social mobility, although related, are fundamentally distinct, and immobility is likely to be perceived as even more unfair than inequality, meaning that it may generate at least as much grievances. In this article, I argue that social immobility fuels political instability. To test this hypothesis, I develop an indicator of social mobility covering more than 100 countries worldwide. I then conduct the first large- N cross-national test of the effect of social mobility on political instability to date. Consistent with my argument, I find that countries with low social mobility levels are more likely to experience riots, general strikes, antigovernment demonstrations, political assassinations, guerillas, revolutions, and civil wars.

Info-Metrics and Statistical Inference

2017 ◽  
Author(s):  
Amos Golan
Keyword(s):  
Method Of Moments ◽  
Generalized Method Of Moments ◽  
Regression Problem ◽  
Information Theoretic ◽  
Regression Problems ◽  
The Common ◽  
Benefits And Costs ◽  
Classical Regression

In this chapter I concentrate on continuous inferential problems: problems where the dependent variable is continuous, such as classical regression problems. As in the previous chapter, using duality theory, I show that the info-metrics framework is general enough to include the class of information-theoretic methods as a special case. The formulation is developed for the classical regression problem, but the results apply to many other problems. A detailed discussion of the benefits and costs of using the info-metrics framework is provided and contrasted with other approaches. I use theoretical examples and policy-relevant applications to demonstrate the method. The common problem of misspecification is also discussed and studied within the info-metrics framework. I show that a misspecified model and a correctly specified one can yield similar answers. The appendices provide detailed discussions of the generalized method of moments and the Bayesian method of moments. Both are connected to info-metrics.

Engagement Through the Diaspora Channel

2017 ◽  
Author(s):  
Michael S. Danielson
Keyword(s):  
Civil Society ◽  
Statistical Models ◽  
State Level ◽  
The State ◽  
Multivariate Statistical ◽  
Political Factors ◽  
Data Set ◽  
Level Data ◽  
Municipal Level

The first empirical task is to identify the characteristics of municipalities which US-based migrants have come together to support financially. Using a nationwide, municipal-level data set compiled by the author, the chapter estimates several multivariate statistical models to compare municipalities that did not benefit from the 3x1 Program for Migrants with those that did, and seeks to explain variation in the number and value of 3x1 projects. The analysis shows that migrants are more likely to contribute where migrant civil society has become more deeply institutionalized at the state level and in places with longer histories as migrant-sending places. Furthermore, the results suggest that political factors are at play, as projects have disproportionately benefited states and municipalities where the PAN had a stronger presence, with fewer occurring elsewhere.

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).

Does Bank Profitability Stimulate Economic Growth in the Arab Region?

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Omar Ghazy Aziz
Keyword(s):  
Financial Development ◽  
Method Of Moments ◽  
Positive Impact ◽  
Generalized Method Of Moments ◽  
Arab Countries ◽  
Return On Assets ◽  
Bank Profitability ◽  
Arab Region ◽  
Return On Equity ◽  
The Impact

AbstractThis study empirically investigates the impact of bank profitability, as a complementary measure of financial development, on growth in the Arab countries between 1985 and 2016. Using a generalized method of moments (GMM) estimation to test the impact of the bank profitability on growth, this study utilises two variables in the econometric model which are return on assets and return on equity. This study reveals that both variables of bank profitability are positive and significant. This confirms that the bank profitability, beside other financial development variables, has positive impact on the growth. This study points out some important implications based on this result.

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