Do Democracies Attract Portfolio Investment? Transnational Portfolio Investments Modeled as Dynamic Network

Cao, Xun; Ward, Michael D.

doi:10.1080/03050629.2014.880697

Cited by 24 publications

(6 citation statements)

References 47 publications

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“…Structural equivalence is a possible alternative approach to capture competition between a pair of countries; countries are structurally equivalent if there is a high, positive bivariate correlation between vectors of characteristics that are considered relevant for competition (Cao & Ward, 2014). Members of a dyad with a high, positive correlation are said to be in a structurally equivalent position, hence they are under similar competitive pressure (Cao, 2012).…”

Section: Robustnessmentioning

confidence: 99%

Public Information and Performance: The Role of Spatial Dependence in the Worldwide Governance Indicators among African Countries

Ward

Dorussen

2015

World Development

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The Worldwide Governance Indicators (WGI) provide transparent and comparable country statistics for different dimensions of governance linked to (under)development. Yet, does the public availability of governance data actually enhance performance? If investors, donor agencies and citizens are made aware of relative governance performance, competition for inward investment, such as FDI and ODA, and domestic legitimacy become plausible mechanisms for diffusion of good governance. We test whether such mechanisms operate using the WGI for Africa, and find evidence for spatial diffusion of democracy, rule of law, and corruption control.There is no evidence for diffusion of regulatory quality and government effectiveness.

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Section: Robustnessmentioning

confidence: 99%

Public Information and Performance: The Role of Spatial Dependence in the Worldwide Governance Indicators among African Countries

Ward

Dorussen

2015

World Development

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“…The stochastic actor-oriented model (SAOM) for network dynamics has been applied in a variety of social science disciplines, including various studies in the political sciences. Other approaches common in political science for the analysis of longitudinal network data include temporal exponential random graph models (Almquist and Butts, 2013) and dynamic latent space models (Cao and Ward, 2014;Dorff and Ward, 2016).…”

Section: Applicationsmentioning

confidence: 99%

Stochastic Actor-Oriented Models for Network Dynamics

Snijders

2017

Annu. Rev. Stat. Appl.

174

109

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This article discusses the stochastic actor-oriented model for analyzing panel data of networks. The model is defined as a continuous-time Markov chain, observed at two or more discrete time moments. It can be regarded as a generalized linear model with a large amount of missing data. Several estimation methods are discussed. After presenting the model for evolution of networks, attention is given to coevolution models. These use the same approach of a continuous-time Markov chain observed at a small number of time points, but now with an extended state space. The state space can be, for example, the combination of a network and nodal variables, or a combination of several networks. This leads to models for the dynamics of multivariate networks. The article emphasizes the approach to modeling and algorithmic issues for estimation; some attention is given to comparison with other models.

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“…Arguments that democracy encourages FDI often assume that property rights are nested within democratic institutions (e.g., Jensen 2003; Cao and Ward 2014). While democracies and autocracies differ systematically in terms of property rights protections (Li 2006, 64), the two are not one-in-the-same.…”

Section: Democratic Institutions and Property Rights Regimesmentioning

confidence: 99%

Property Rights Regimes, Technological Innovation, and Foreign Direct Investment

Nieman¹,

Thies²

2018

PSRM

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We argue that democratic institutions influence property rights in attracting foreign direct investment (FDI) by providing: (1) a coherent logic to the property rights regime that is created in a state and (2) a legitimate way to manage conflicts that arise in dynamic economies. We expect that the marginal effect of property rights in attracting FDI has increased over time with the rate of technological dynamism. We test this using a non-nested multilevel modeling strategy with random coefficients on data from 1970 to 2009. Our results demonstrate that the effect of property rights on attracting FDI is contingent on democratic institutions and that this effect becomes more pronounced over time. This effect holds for both developing and developed countries across all regions.

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Do Democracies Attract Portfolio Investment? Transnational Portfolio Investments Modeled as Dynamic Network

Cited by 24 publications

References 47 publications

Public Information and Performance: The Role of Spatial Dependence in the Worldwide Governance Indicators among African Countries

Public Information and Performance: The Role of Spatial Dependence in the Worldwide Governance Indicators among African Countries

Stochastic Actor-Oriented Models for Network Dynamics

Property Rights Regimes, Technological Innovation, and Foreign Direct Investment

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