Endogenous Social Connections in Legislatures

Battaglini, Marco; Patacchini, Eleonora; Rainone, Edoardo

doi:10.3386/w25988

Cited by 13 publications

(7 citation statements)

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“…An alternative approach has been proposed by Battaglini et al (2019b). They rely on the structure generated by a theoretical model of endogenous link formation to reduce the dimensionality of the estimation and then to use the observable outcomes at just one or few points in time to structurally estimate the parameters of the model.…”

Section: Estimating Social Interaction Effects Using Outcomesmentioning

confidence: 99%

Social Interaction Methods

Hsieh¹,

Xu²,

Patacchini³

2020

Handbook of Labor, Human Resources and Population Economics

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This chapter is concerned with methods for analyzing social interaction effects. The attention is focused on how to estimate endogenous effects, where an individual's choice may depend on those of his/her contacts about the same activity. The analysis is guided by the data structure that is available to measure social interactions, an intuitive aspect that allows empirical researchers to understand whether and how they could study social interaction effects in their own data. First, the case where the information on social interaction patterns is limited to membership to a given group is considered, then the discussion moves to the case where the data contain information on specific relationships among pairs of individuals within each group, and the availability of data on the co-evolution of social structures and outcomes. This chapter also discusses some basic methods to deal with online social network data, and the novel literature estimating social interaction effects relying only on outcome data. For each data structure, the challenges and the main methods proposed in the literature to tackle them are reviewed.

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Section: Estimating Social Interaction Effects Using Outcomesmentioning

confidence: 99%

Social Interaction Methods

Hsieh¹,

Xu²,

Patacchini³

2020

Handbook of Labor, Human Resources and Population Economics

Self Cite

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“…Previous literature on the relationship between social networks, political influence formation, and policy networks is multifold. Battaglini, Patacchini, and Rainone (2019, 2) believe that “social connections (and specifically social media) affect the way grassroots activism influences policymakers' activities.” Chwe (2000) approaches the issue from a more methodological perspective by studying a coordination game in which the benefit of activism increases with participation—his model can be used to underline the motivation of politicians to come together in a virtual environment.…”

Section: Social Media and Policy Networkmentioning

confidence: 99%

The Influence ofEliteNetworks on Green Policy Making

Caliskan

2020

Politics & Policy

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This article analyzes the relationship between the policy networks and the success of renewable energy and emission reduction policies. Arguing that strong connections between typologically different groups of elites are essential for good policies, the analysis looks at the Twitter community structure of the ministers in 34 countries. The results of the network study indicate that the success of renewable energy and CO2 emission reduction policy implementation is strongly related to the community structure in social networks of ministers. Looser network structures within policy communities and an abundance of relatively stronger connections between them are associated with higher renewable energy consumption and also lower CO2 levels, thus possibly with better policies. A case study on seven Nordic and Northern European countries complements and reinforces the theoretical expectations about deliberative policy making. Related Articles Sabag‐Ben Porat, Chen, Azi Lev‐On, and Sam Lehman‐Wilzig. 2020. “Silent Partners: How Politicians' Facebook Communication with Constituents is Mediated.” Politics & Policy 48 (3): 550‐569. https://doi.org/10.1111/polp.12352 Rowe, Andrew D., and David E. Pitfield. 2019. “The Challenge of Social Media Incorporation: A Case Study of HACAN Clearskies.” Politics & Policy 47 (4): 775‐806. https://doi.org/10.1111/polp.12319 Tanaka, Yugo, Andrew Chapman, Tetsuo Tezuka, and Shigeki Sakurai. 2020. “Multiple Streams and Power Sector Policy Change: Evidence from the Feed‐In Tariff Policy Process in Japan.” Politics & Policy 48 (3): 464‐489. https://doi.org/10.1111/polp.12357[Correction added on December 17, 2020 after first online publication: The citation “Ben‐Porat, Chen Sabag, Azi Lev‐On, and Sam Lehman‐Wilzig. 2020” was edited to “Sabag‐Ben Porat, Chen, Azi Lev‐On, and Sam Lehman‐Wilzig. 2020“ to reflect correct spelling.]

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“…Canen, Trebbi, and Jackson (2016) proposed an empirically tractable framework, building on Cabrales, Calvó‐Armengol, and Zenou (2011), where politicians choose both socialization and legislation efforts, and study bill cosponsorship in the U.S. Congress 10 . Different to this literature (including Boucher, Hsieh, and Lee (2019) and Battaglini, Patacchini, and Rainone (2019)), the proposed model is founded on the explicit strategic incentives that guarantee consent and stability in link formation in the sense of Jackson and Wolinsky (1996).…”

Section: Introductionmentioning

confidence: 99%

Nash Equilibria on (Un)Stable Networks

Badev

2021

ECTA

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In response to a change, individuals may choose to follow the responses of their friends or, alternatively, to change their friends. To model these decisions, consider a game where players choose their behaviors and friendships. In equilibrium, players internalize the need for consensus in forming friendships and choose their optimal strategies on subsets of k players—a form of bounded rationality. The k‐player consensual dynamic delivers a probabilistic ranking of a game's equilibria, and via a varying k, facilitates estimation of such games. Applying the model to adolescents' smoking suggests that: (a) the response of the friendship network to changes in tobacco price amplifies the intended effect of price changes on smoking, (b) racial desegregation of high schools decreases the overall smoking prevalence, (c) peer effect complementarities are substantially stronger between smokers compared to between nonsmokers.

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Endogenous Social Connections in Legislatures

Abstract: NBER working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

Cited by 13 publications

References 71 publications

Social Interaction Methods

Social Interaction Methods

The Influence ofEliteNetworks on Green Policy Making

Nash Equilibria on (Un)Stable Networks

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