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Replication Data for: Can Elections Motivate Responsiveness in a Single-Party Regime? Experimental Evidence from Vietnam

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Title Replication Data for: Can Elections Motivate Responsiveness in a Single-Party Regime? Experimental Evidence from Vietnam
 
Identifier https://doi.org/10.7910/DVN/JPVEX5
 
Creator Malesky, Edmund
Todd, Jason Douglas
Tran, Anh
 
Publisher Harvard Dataverse
 
Description This file contains the replication data for the APSR manuscript, "Can Elections Motivate Responsiveness in a Single-Party Regime? Experimental Evidence
from Vietnam." Users should begin by reading the 1_ReadMe_Master.txt file. This file explains how to set up directories to run replication files most efficiently. This is identical to the 1_ReadMeMaster.do file, which will run all replications in Manuscript, Online Appendix, and Dataverse Supplemental Information from start to finish.

ABSTRACT
"A growing body of evidence attests that legislators are sometimes responsive to the
policy preferences of citizens in single-party regimes, yet debate surrounds the
mechanisms driving this relationship. We experimentally test two potential
responsiveness mechanisms—elections versus mandates from party leaders—by
provisioning delegates to the Vietnamese National Assembly (VNA) with information on
the policy preferences of their constituents and reminding them of either (1) the
competitiveness of the upcoming 2021 elections or (2) a central decree that legislative
activities should reflect constituents’ preferences. Consistent with existing work,
delegates informed of citizens’ preferences are more likely to speak on the
parliamentary floor and in closed-session caucuses. Importantly, we find that such
responsiveness is entirely driven by election reminders; upward incentive reminders
have virtually no effect on behavior."
 
Subject Social Sciences
Vietnam, National Assembly, Responsiveness, Authoritarian Elections, Authoritarian Institutions, Randomized Experiment
 
Language English
Vietnamese
 
Date 2022-06-03
 
Contributor Malesky, Edmund
Edmund Malesky, Duke Center for International Development
 
Relation 1. Raw data of treatment assigments by delegate ""data\matched-v7.xlsx"
2. Raw data of delegates, speeches, and qualitative coding: "data\caucuses-combined-matched_Hieu_Phuong_0907.xlsx"
2a. Loaded into 2_Setup.do to create STATA dataset: "data\qualitative.dta"
3. Raw data of whether speeches were coded in final law: ""qualitatitive\Copy of 1. Influential quotes_1025.xlsx""
3a. Loaded into 2_Setup.do to create a STATA dataset: "data\reflected_in_final_law.dta"
4. Working data for all analyses created in 2.Setup.do saved as STATA dataset: "data\VNA_RCT_working.dta
5. 10,000 re-shuffles of original dataset created in R-script for Randomization Inference: data\RI-assignments-seeded.dta"
6. Actual data of dependent variables created in set-up folder to be merged with 10,000 iterations for Randomization Inference: "data\DV.dta"
7. Data of translated key words from every delegate floor and caucus:"data\20201116_Keywords_ENG.dta"
7a. Crosswalk to match speeches to delegates for caucus speeches "11_Table5_WordScores_Generation.do": "data\CaucusIDCrosswalk.dta"
7b. Crosswalk to match speeches to delegates for floor speeches "11_Table5_WordScores_Generation.do": "data\FloorIDCrosswalk.dta"
7c. Dataset created by Word Scores of score for each word in "11_Table5_WordScores_TextProcessing.do": "data\english_text.dta"
7d. Dataset created by Word Scores of score for each word in "11_Table5_WordScores_TextProcessing.do": "data\wordscore_caucus.dta"
7e. Dataset created by Word Scores of score for each word in "11_Table5_WordScores_TextProcessing.do": "data\wordscore_floor.dta"
8. R dataset necessary for RI and Appendix G: delegate-data.Rds
9. R dataset necessary for RI and Appendix G: provincial-matching-data.Rds
 
Type Survey data, speech data, text as data
 
Source Vietnam Provincial Competitiveness Index Survey 2018, Hanoi, VCCI, USAID
Vietnam Provincial Administrative Data Survey 2018, Hanoi, UNDP
Vietnam National Assembly, May 2019 session