Voting to Tell Others Online Appendix

Similar documents
Online Appendix for The Importance of Being. Marginal: Gender Differences in Generosity

How Are SNAP Benefits Spent? Evidence from a Retail Panel

ONLINE APPENDIX (NOT FOR PUBLICATION) Appendix A: Appendix Figures and Tables

DATA SUMMARIZATION AND VISUALIZATION

Appendix. A.1 Independent Random Effects (Baseline)

Do Liberal Home Owners Consume Less Electricity? A Test of the Voluntary Restraint Hypothesis

Online Appendix for: Minimum Wages and Consumer Credit: Lisa J. Dettling and Joanne W. Hsu

3.3-Measures of Variation

Online Appendix Table 1. Robustness Checks: Impact of Meeting Frequency on Additional Outcomes. Control Mean. Controls Included

Discussion of: Banks Incentives and Quality of Internal Risk Models

Simple Descriptive Statistics

Supervised Learning, Part 1: Regression

Mean GMM. Standard error

YouGov May 26-27, US Adults

Macroeconomics Field Exam August 2017 Department of Economics UC Berkeley. (3 hours)

Table IA.1 CEO Pay-Size Elasticity and Increased Labor Demand Panel A: IPOs Scaled by Full Sample Industry Average

Sampling & populations

Web Appendix: Do Arbitrageurs Amplify Economic Shocks?

CEO Attributes, Compensation, and Firm Value: Evidence from a Structural Estimation. Internet Appendix

Interest Rate Pass-Through: Mortgage Rates, Household Consumption, and Voluntary Deleveraging. Online Appendix

Statistics and Their Distributions

Market Timing Does Work: Evidence from the NYSE 1

Depression Babies: Do Macroeconomic Experiences Affect Risk-Taking?

Internet Appendix for Did Dubious Mortgage Origination Practices Distort House Prices?

Math 2311 Bekki George Office Hours: MW 11am to 12:45pm in 639 PGH Online Thursdays 4-5:30pm And by appointment

Financial Time Series and Their Characteristics

Online Appendix A: Verification of Employer Responses

STAT 509: Statistics for Engineers Dr. Dewei Wang. Copyright 2014 John Wiley & Sons, Inc. All rights reserved.

AP STATISTICS FALL SEMESTSER FINAL EXAM STUDY GUIDE

Linear Regression with One Regressor

Discussion of Relationship and Transaction Lending in a Crisis

Normal Cumulative Distribution Function (CDF)

Investment and Employment Responses to State Adoption of Federal Accelerated Depreciation Policies

Online Appendix to ESTIMATING MUTUAL FUND SKILL: A NEW APPROACH. August 2016

Risk Aversion and Wealth: Evidence from Person-to-Person Lending Portfolios On Line Appendix

Financial Econometrics (FinMetrics04) Time-series Statistics Concepts Exploratory Data Analysis Testing for Normality Empirical VaR

Portfolio Construction Research by

Measures of Variation. Section 2-5. Dotplots of Waiting Times. Waiting Times of Bank Customers at Different Banks in minutes. Bank of Providence

INSTITUTE AND FACULTY OF ACTUARIES. Curriculum 2019 SPECIMEN EXAMINATION

Online Appendix Information Asymmetries in Consumer Credit Markets: Evidence from Payday Lending

Section3-2: Measures of Center

Capital Gains Realizations of the Rich and Sophisticated

Registered voters Gender Age (4 category) Race (4 category)

ECON 214 Elements of Statistics for Economists 2016/2017

Statistical Tables Compiled by Alan J. Terry

WORKING PAPERS IN ECONOMICS & ECONOMETRICS. Bounds on the Return to Education in Australia using Ability Bias

Acemoglu, et al (2008) cast doubt on the robustness of the cross-country empirical relationship between income and democracy. They demonstrate that

ECON 214 Elements of Statistics for Economists

Supplemental Appendix for Cost Pass-Through to Higher Ethanol Blends at the Pump: Evidence from Minnesota Gas Station Data.

Business Statistics 41000: Probability 4

Introduction to Computational Finance and Financial Econometrics Descriptive Statistics

The current study builds on previous research to estimate the regional gap in

Session Window. Variable Name Row. Worksheet Window. Double click on MINITAB icon. You will see a split screen: Getting Started with MINITAB

Skewed Business Cycles

Loan Originations and Defaults in the Mortgage Crisis: The Role of the Middle Class. Internet Appendix. Manuel Adelino, Duke University

Hoover Institution Golden State Poll Fieldwork by YouGov December 9, January 4, List of Tables

Paper. Working. Unce. the. and Cash. Heungju. Park

Random Variables and Probability Distributions

Financial Liberalization and Neighbor Coordination

Addendum. Multifactor models and their consistency with the ICAPM

1. Modification algorithm

Investment and Employment Responses to State Adoption of Federal Accelerated Depreciation Policies

Chapter 9: Sampling Distributions

The Economist/YouGov Poll List of Tables

The Persistent Effect of Temporary Affirmative Action: Online Appendix

Internet Appendix for. Fund Tradeoffs. ĽUBOŠ PÁSTOR, ROBERT F. STAMBAUGH, and LUCIAN A. TAYLOR

Student Loan Nudges: Experimental Evidence on Borrowing and. Educational Attainment. Online Appendix: Not for Publication

Asymmetric prediction intervals using half moment of distribution

Can Information Change Personal Retirement Savings? Evidence from Social Security Benefits Statement Mailings. Susan Payne Carter William Skimmyhorn


**BEGINNING OF EXAMINATION** A random sample of five observations from a population is:

Capital Budgeting vs. Market Timing: An Evaluation Using Demographics Online Appendix

σ e, which will be large when prediction errors are Linear regression model

Call Your Leader: Does the Mobile Phone Affect Policymaking?

Chapter 3 Descriptive Statistics: Numerical Measures Part A

Chapter 2: Descriptive Statistics. Mean (Arithmetic Mean): Found by adding the data values and dividing the total by the number of data.

Introduction to Algorithmic Trading Strategies Lecture 9

Appendix Tables for: A Flow-Based Explanation for Return Predictability. Dong Lou London School of Economics

Early Retirement Incentives and Student Achievement. Maria D. Fitzpatrick and Michael F. Lovenheim. Online Appendix

Chapter 4 Continuous Random Variables and Probability Distributions

Empirical Appendix to The Impact of Regulatory Changes on Mortgage Risk: Evidence from India

Portfolio construction by volatility forecasts: Does the covariance structure matter?

Subject CS1 Actuarial Statistics 1 Core Principles. Syllabus. for the 2019 exams. 1 June 2018

Chapter 7 presents the beginning of inferential statistics. The two major activities of inferential statistics are

Problem Set on Earnings Announcements (219B, Spring 2007)

The B.E. Journal of Economic Analysis & Policy. Village Economies and the Structure of Extended Family Networks

HuffPost: Midterm elections March 23-26, US Adults

Supporting information for. Mainstream or niche? Vote-seeking incentives and the programmatic strategies of political parties

General Examination in Microeconomic Theory SPRING 2011

ME3620. Theory of Engineering Experimentation. Spring Chapter III. Random Variables and Probability Distributions.

Trade Costs and Job Flows: Evidence from Establishment-Level Data

Standardized Data Percentiles, Quartiles and Box Plots Grouped Data Skewness and Kurtosis

Control Charts. A control chart consists of:

Lecture 2. Vladimir Asriyan and John Mondragon. September 14, UC Berkeley

Online Appendix: Conditional Risk Premia in Currency Markets and Other Asset Classes

HuffPost: Political activity November 8-9, US Adults

Technical Appendices to Extracting Summary Piles from Sorting Task Data

HuffPost: Family separation June 19-20, US Adults

Regression Review and Robust Regression. Slides prepared by Elizabeth Newton (MIT)

Panel Regression of Out-of-the-Money S&P 500 Index Put Options Prices

Transcription:

Voting to Tell Others Online Appendix Stefano DellaVigna UC Berkeley and NBER John A. List UChicagoandNBER Gautam Rao UC Berkeley This version: January 13, 214 Ulrike Malmendier UC Berkeley and NBER 1

Online Appendix Figure 1. Number of Times Asked about Voting CDFs of number of times asked about turnout Probability <= value.2.4.6.8 1 2 4 6 Number of times asked 21 Congr. Elections 28 Presid. Elections Note: Online Appendix Figure 1 plots the cumulative distribution function of the self-reported number of times asked among the respondents to the 211 door-todoor survey. The continuous line refers to the 21 Congressional election, and the dotted line refers to the 28 Presidential election. 1

.3.2 -.3 Online Appendix Figures 2a-b. Sensitivity of Estimated Parameters to the Moments: Willingness to Complete a Survey µ survey and σ survey for voters 2 Effect on parameter in units of asymptotic standard deviation PH_V_NW_d5m PH_V_Nw_1d1m PH_V_Nw_1d5m PH_V_W_d5m PH_V_W_1d1m PH_V_W_1d5m PH_V_We_d5m PH_V_We_1d1m PH_V_We_1d5m PH_V_Oo_d5m PH_V_Oo_1d1m PH_V_Oo_1d5m PH_V_Ooe_d5m PH_V_Ooe_1d1m PH_V_Ooe_1d5m PSV_V_NW_d5m PSV_V_Nw_1d1m PSV_V_Nw_1d5m PSV_V_W_d5m PSV_V_W_1d1m PSV_V_W_1d5m PSV_V_We_d5m PSV_V_We_1d1m PSV_V_We_1d5m PSV_V_Oo_d5m PSV_V_Oo_1d1m PSV_V_Oo_1d5m PSV_V_Ooe_d5m PSV_V_Ooe_1d1m PSV_V_Ooe_1d5m POO_V_Oo_d5m POO_V_Oo_1d1m POO_V_Oo_1d5m POO_V_Ooe_d5m POO_V_Ooe_1d1m POO_V_Ooe_1d5m PSV_V_Nw_NoInfo PSV_V_Nw_Info PSV_V_W_NoInfo PSV_V_W_Info PSV_V_We_NoInfo PSV_V_We_Info PSV_V_Oo_NoInfo PSV_V_Oo_Info PSV_V_Ooe_NoInfo PSV_V_Ooe_Info PL_V_5m_Control PL_V_5m_Incentive PL_V_1m_Control PL_V_1m_Incentive.5.4.3.2 -.3 -.4 -.5 µ_survey_voters σ_survey_voters µ survey and σ survey for non-voters Effect on parameter in units of asymptotic standard deviation PH_NV_NW_d5m PH_NV_Nw_1d1m PH_NV_Nw_1d5m PH_NV_W_d5m PH_NV_W_1d1m PH_NV_W_1d5m PH_NV_We_d5m PH_NV_We_1d1m PH_NV_We_1d5m PH_NV_Oo_d5m PH_NV_Oo_1d1m PH_NV_Oo_1d5m PH_NV_Ooe_d5m PH_NV_Ooe_1d1m PH_NV_Ooe_1d5m PSV_NV_NW_d5m PSV_NV_Nw_1d1m PSV_NV_Nw_1d5m PSV_NV_W_d5m PSV_NV_W_1d1m PSV_NV_W_1d5m PSV_NV_We_d5m PSV_NV_We_1d1m PSV_NV_We_1d5m PSV_NV_Oo_d5m PSV_NV_Oo_1d1m PSV_NV_Oo_1d5m PSV_NV_Ooe_d5m PSV_NV_Ooe_1d1m PSV_NV_Ooe_1d5m POO_NV_Oo_d5m POO_NV_Oo_1d1m POO_NV_Oo_1d5m POO_NV_Ooe_d5m POO_NV_Ooe_1d1m POO_NV_Ooe_1d5m PSV_NV_Nw_NoInfo PSV_NV_Nw_Info PSV_NV_W_NoInfo PSV_NV_W_Info PSV_NV_We_NoInfo PSV_NV_We_Info PSV_NV_Oo_NoInfo PSV_NV_Oo_Info PSV_NV_Ooe_NoInfo PSV_NV_Ooe_Info PL_NV_5m_Control PL_NV_5m_Incentive PL_NV_1m_Control PL_NV_1m_Incentive µ_survey_nonvoters σ_survey_nonvoters

Note: Online Appendix Figures 2a and 2b present the sensitivity of the estimates to the individual moments following Gentzkow and Shapiro (213). The plotted lines indicate the local sensitivity of the given parameter estimate to an individual moment. A positive bar indicates that a (local) increase in the moment would increase the estimated value of the parameter. Higher bars indicate more influential moments for the identification of the parameter. For each moment, we plot the influence estimate for the mean value of completing a 1-minute survey (in blue) and the standard deviation of this willingness to complete a survey (in orange) respectively for voters (Online Appendix figure 2a) and for non-voters (Online Appendix Figure 2b). 3

Online Appendix Figure 3. Sensitivity of Estimated Parameters to the Moments: Value of time Value of Time for voters and non-voters.3.2 -.3 -.4 Note: Online Appendix Figure 3 presents the sensitivity of the estimates to the individual moments following Gentzkow and Shapiro (213). The plotted lines indicate the local sensitivity of the given parameter estimate to an individual moment. A positive bar indicates that a (local) increase in the moment would increase the estimated value of the parameter. Higher bars indicate more influential moments for the identification of the parameter. For each moment, we plot the influence estimate for the value of time for voters (in blue) and for non-voters (in orange). 4 Effect on parameter in units of asymptotic standard deviation PH_V_NW_d5m PH_V_Nw_1d1m PH_V_Nw_1d5m PH_V_W_d5m PH_V_W_1d1m PH_V_W_1d5m PH_V_We_d5m PH_V_We_1d1m PH_V_We_1d5m PH_V_Oo_d5m PH_V_Oo_1d1m PH_V_Oo_1d5m PH_V_Ooe_d5m PH_V_Ooe_1d1m PH_V_Ooe_1d5m PH_NV_NW_d5m PH_NV_Nw_1d1m PH_NV_Nw_1d5m PH_NV_W_d5m PH_NV_W_1d1m PH_NV_W_1d5m PH_NV_We_d5m PH_NV_We_1d1m PH_NV_We_1d5m PH_NV_Oo_d5m PH_NV_Oo_1d1m PH_NV_Oo_1d5m PH_NV_Ooe_d5m PH_NV_Ooe_1d1m PH_NV_Ooe_1d5m PSV_V_NW_d5m PSV_V_Nw_1d1m PSV_V_Nw_1d5m PSV_V_W_d5m PSV_V_W_1d1m PSV_V_W_1d5m PSV_V_We_d5m PSV_V_We_1d1m PSV_V_We_1d5m PSV_V_Oo_d5m PSV_V_Oo_1d1m PSV_V_Oo_1d5m PSV_V_Ooe_d5m PSV_V_Ooe_1d1m PSV_V_Ooe_1d5m PSV_NV_NW_d5m PSV_NV_Nw_1d1m PSV_NV_Nw_1d5m PSV_NV_W_d5m PSV_NV_W_1d1m PSV_NV_W_1d5m PSV_NV_We_d5m PSV_NV_We_1d1m PSV_NV_We_1d5m PSV_NV_Oo_d5m PSV_NV_Oo_1d1m PSV_NV_Oo_1d5m PSV_NV_Ooe_d5m PSV_NV_Ooe_1d1m PSV_NV_Ooe_1d5m POO_V_Oo_d5m POO_V_Oo_1d1m POO_V_Oo_1d5m POO_V_Ooe_d5m POO_V_Ooe_1d1m POO_V_Ooe_1d5m POO_NV_Oo_d5m POO_NV_Oo_1d1m POO_NV_Oo_1d5m POO_NV_Ooe_d5m POO_NV_Ooe_1d1m POO_NV_Ooe_1d5m PSV_V_Nw_NoInfo PSV_V_Nw_Info PSV_V_W_NoInfo PSV_V_W_Info PSV_V_We_NoInfo PSV_V_We_Info PSV_V_Oo_NoInfo PSV_V_Oo_Info PSV_V_Ooe_NoInfo PSV_V_Ooe_Info PSV_NV_Nw_NoInfo PSV_NV_Nw_Info PSV_NV_W_NoInfo PSV_NV_W_Info PSV_NV_We_NoInfo PSV_NV_We_Info PSV_NV_Oo_NoInfo PSV_NV_Oo_Info PSV_NV_Ooe_NoInfo PSV_NV_Ooe_Info PL_V_5m_Control PL_V_5m_Incentive PL_V_1m_Control PL_V_1m_Incentive PL_NV_5m_Control PL_NV_5m_Incentive PL_NV_1m_Control PL_NV_1m_Incentive timeval_nonvoters timeval_voters

.5 Online Appendix Figure 4. Sensitivity of Estimated Parameters to the Moments: Probability of Being at Home Baseline probability of being home (h) for voters and non-voters.4.3.2 Note: Online Appendix Figure 4 presents the sensitivity of the estimates to the individual moments following Gentzkow and Shapiro (213). The plotted lines indicate the local sensitivity of the given parameter estimate to an individual moment. A positive bar indicates that a (local) increase in the moment would increase the estimated value of the parameter. Higher bars indicate more influential moments for the identification of the parameter. For each moment, we plot the influence estimate for the baseline probability of being at home for voters (in blue) and for non-voters (in orange). 5 Effect on parameter in units of asymptotic standard deviation PH_V_NW_d5m PH_V_Nw_1d1m PH_V_Nw_1d5m PH_V_W_d5m PH_V_W_1d1m PH_V_W_1d5m PH_V_We_d5m PH_V_We_1d1m PH_V_We_1d5m PH_V_Oo_d5m PH_V_Oo_1d1m PH_V_Oo_1d5m PH_V_Ooe_d5m PH_V_Ooe_1d1m PH_V_Ooe_1d5m PH_NV_NW_d5m PH_NV_Nw_1d1m PH_NV_Nw_1d5m PH_NV_W_d5m PH_NV_W_1d1m PH_NV_W_1d5m PH_NV_We_d5m PH_NV_We_1d1m PH_NV_We_1d5m PH_NV_Oo_d5m PH_NV_Oo_1d1m PH_NV_Oo_1d5m PH_NV_Ooe_d5m PH_NV_Ooe_1d1m PH_NV_Ooe_1d5m PSV_V_NW_d5m PSV_V_Nw_1d1m PSV_V_Nw_1d5m PSV_V_W_d5m PSV_V_W_1d1m PSV_V_W_1d5m PSV_V_We_d5m PSV_V_We_1d1m PSV_V_We_1d5m PSV_V_Oo_d5m PSV_V_Oo_1d1m PSV_V_Oo_1d5m PSV_V_Ooe_d5m PSV_V_Ooe_1d1m PSV_V_Ooe_1d5m PSV_NV_NW_d5m PSV_NV_Nw_1d1m PSV_NV_Nw_1d5m PSV_NV_W_d5m PSV_NV_W_1d1m PSV_NV_W_1d5m PSV_NV_We_d5m PSV_NV_We_1d1m PSV_NV_We_1d5m PSV_NV_Oo_d5m PSV_NV_Oo_1d1m PSV_NV_Oo_1d5m PSV_NV_Ooe_d5m PSV_NV_Ooe_1d1m PSV_NV_Ooe_1d5m POO_V_Oo_d5m POO_V_Oo_1d1m POO_V_Oo_1d5m POO_V_Ooe_d5m POO_V_Ooe_1d1m POO_V_Ooe_1d5m POO_NV_Oo_d5m POO_NV_Oo_1d1m POO_NV_Oo_1d5m POO_NV_Ooe_d5m POO_NV_Ooe_1d1m POO_NV_Ooe_1d5m PSV_V_Nw_NoInfo PSV_V_Nw_Info PSV_V_W_NoInfo PSV_V_W_Info PSV_V_We_NoInfo PSV_V_We_Info PSV_V_Oo_NoInfo PSV_V_Oo_Info PSV_V_Ooe_NoInfo PSV_V_Ooe_Info PSV_NV_Nw_NoInfo PSV_NV_Nw_Info PSV_NV_W_NoInfo PSV_NV_W_Info PSV_NV_We_NoInfo PSV_NV_We_Info PSV_NV_Oo_NoInfo PSV_NV_Oo_Info PSV_NV_Ooe_NoInfo PSV_NV_Ooe_Info PL_V_5m_Control PL_V_5m_Incentive PL_V_1m_Control PL_V_1m_Incentive PL_NV_5m_Control PL_NV_5m_Incentive PL_NV_1m_Control PL_NV_1m_Incentive h_nonvoters h_voters

Online Appendix Figure 5. Sensitivity of Estimated Parameters to the Moments: Probability of Observing the Flyer Probability of seeing the flyer (r) for voters and non-voters.4.3.2 -.3 Note: Online Appendix Figure 5 presents the sensitivity of the estimates to the individual moments following Gentzkow and Shapiro (213). The plotted lines indicate the local sensitivity of the given parameter estimate to an individual moment. A positive bar indicates that a (local) increase in the moment would increase the estimated value of the parameter. Higher bars indicate more influential moments for the identification of the parameter. For each moment, we plot the influence estimate for the probability of observing the flyer for voters (in blue) and for non-voters (in orange). 6 Effect on parameter in units of asymptotic standard deviation PH_V_NW_d5m PH_V_Nw_1d1m PH_V_Nw_1d5m PH_V_W_d5m PH_V_W_1d1m PH_V_W_1d5m PH_V_We_d5m PH_V_We_1d1m PH_V_We_1d5m PH_V_Oo_d5m PH_V_Oo_1d1m PH_V_Oo_1d5m PH_V_Ooe_d5m PH_V_Ooe_1d1m PH_V_Ooe_1d5m PH_NV_NW_d5m PH_NV_Nw_1d1m PH_NV_Nw_1d5m PH_NV_W_d5m PH_NV_W_1d1m PH_NV_W_1d5m PH_NV_We_d5m PH_NV_We_1d1m PH_NV_We_1d5m PH_NV_Oo_d5m PH_NV_Oo_1d1m PH_NV_Oo_1d5m PH_NV_Ooe_d5m PH_NV_Ooe_1d1m PH_NV_Ooe_1d5m PSV_V_NW_d5m PSV_V_Nw_1d1m PSV_V_Nw_1d5m PSV_V_W_d5m PSV_V_W_1d1m PSV_V_W_1d5m PSV_V_We_d5m PSV_V_We_1d1m PSV_V_We_1d5m PSV_V_Oo_d5m PSV_V_Oo_1d1m PSV_V_Oo_1d5m PSV_V_Ooe_d5m PSV_V_Ooe_1d1m PSV_V_Ooe_1d5m PSV_NV_NW_d5m PSV_NV_Nw_1d1m PSV_NV_Nw_1d5m PSV_NV_W_d5m PSV_NV_W_1d1m PSV_NV_W_1d5m PSV_NV_We_d5m PSV_NV_We_1d1m PSV_NV_We_1d5m PSV_NV_Oo_d5m PSV_NV_Oo_1d1m PSV_NV_Oo_1d5m PSV_NV_Ooe_d5m PSV_NV_Ooe_1d1m PSV_NV_Ooe_1d5m POO_V_Oo_d5m POO_V_Oo_1d1m POO_V_Oo_1d5m POO_V_Ooe_d5m POO_V_Ooe_1d1m POO_V_Ooe_1d5m POO_NV_Oo_d5m POO_NV_Oo_1d1m POO_NV_Oo_1d5m POO_NV_Ooe_d5m POO_NV_Ooe_1d1m POO_NV_Ooe_1d5m PSV_V_Nw_NoInfo PSV_V_Nw_Info PSV_V_W_NoInfo PSV_V_W_Info PSV_V_We_NoInfo PSV_V_We_Info PSV_V_Oo_NoInfo PSV_V_Oo_Info PSV_V_Ooe_NoInfo PSV_V_Ooe_Info PSV_NV_Nw_NoInfo PSV_NV_Nw_Info PSV_NV_W_NoInfo PSV_NV_W_Info PSV_NV_We_NoInfo PSV_NV_We_Info PSV_NV_Oo_NoInfo PSV_NV_Oo_Info PSV_NV_Ooe_NoInfo PSV_NV_Ooe_Info PL_V_5m_Control PL_V_5m_Incentive PL_V_1m_Control PL_V_1m_Incentive PL_NV_5m_Control PL_NV_5m_Incentive PL_NV_1m_Control PL_NV_1m_Incentive r_nonvoters r_voters

Online Appendix Figures 6a-b. Sensitivity of Estimated Parameters to the Moments: Sorting Elasticity and Social Pressure Elasticity of sorting (eta) and Social Pressure Cost (S) of refusing survey for voters.4.3.2 -.3 7 Effect on parameter in units of asymptotic standard deviation PH_V_NW_d5m PH_V_Nw_1d1m PH_V_Nw_1d5m PH_V_W_d5m PH_V_W_1d1m PH_V_W_1d5m PH_V_We_d5m PH_V_We_1d1m PH_V_We_1d5m PH_V_Oo_d5m PH_V_Oo_1d1m PH_V_Oo_1d5m PH_V_Ooe_d5m PH_V_Ooe_1d1m PH_V_Ooe_1d5m PSV_V_NW_d5m PSV_V_Nw_1d1m PSV_V_Nw_1d5m PSV_V_W_d5m PSV_V_W_1d1m PSV_V_W_1d5m PSV_V_We_d5m PSV_V_We_1d1m PSV_V_We_1d5m PSV_V_Oo_d5m PSV_V_Oo_1d1m PSV_V_Oo_1d5m PSV_V_Ooe_d5m PSV_V_Ooe_1d1m PSV_V_Ooe_1d5m POO_V_Oo_d5m POO_V_Oo_1d1m POO_V_Oo_1d5m POO_V_Ooe_d5m POO_V_Ooe_1d1m POO_V_Ooe_1d5m PSV_V_Nw_NoInfo PSV_V_Nw_Info PSV_V_W_NoInfo PSV_V_W_Info PSV_V_We_NoInfo PSV_V_We_Info PSV_V_Oo_NoInfo PSV_V_Oo_Info PSV_V_Ooe_NoInfo PSV_V_Ooe_Info PL_V_5m_Control PL_V_5m_Incentive PL_V_1m_Control PL_V_1m_Incentive eta_voters S_svy_voters.4 Elasticity of sorting (eta) and Social Pressure Cost (S) of refusing survey for non-voters PH_NV_NW_d5m PH_NV_Nw_1d1m PH_NV_Nw_1d5m PH_NV_W_d5m PH_NV_W_1d1m PH_NV_W_1d5m PH_NV_We_d5m PH_NV_We_1d1m PH_NV_We_1d5m PH_NV_Oo_d5m PH_NV_Oo_1d1m PH_NV_Oo_1d5m PH_NV_Ooe_d5m PH_NV_Ooe_1d1m PH_NV_Ooe_1d5m PSV_NV_NW_d5m PSV_NV_Nw_1d1m PSV_NV_Nw_1d5m PSV_NV_W_d5m PSV_NV_W_1d1m PSV_NV_W_1d5m PSV_NV_We_d5m PSV_NV_We_1d1m PSV_NV_We_1d5m PSV_NV_Oo_d5m PSV_NV_Oo_1d1m PSV_NV_Oo_1d5m PSV_NV_Ooe_d5m PSV_NV_Ooe_1d1m PSV_NV_Ooe_1d5m POO_NV_Oo_d5m POO_NV_Oo_1d1m POO_NV_Oo_1d5m POO_NV_Ooe_d5m POO_NV_Ooe_1d1m POO_NV_Ooe_1d5m PSV_NV_Nw_NoInfo PSV_NV_Nw_Info PSV_NV_W_NoInfo PSV_NV_W_Info PSV_NV_We_NoInfo PSV_NV_We_Info PSV_NV_Oo_NoInfo PSV_NV_Oo_Info PSV_NV_Ooe_NoInfo PSV_NV_Ooe_Info PL_NV_5m_Control PL_NV_5m_Incentive PL_NV_1m_Control PL_NV_1m_Incentive.3.2 -.3 -.4 Effect on parameter in units of asymptotic standard deviation eta_nonvoters S_svy_nonvoters

Note: Online Appendix Figures 6a-b present the sensitivity of the estimates to the individual moments following Gentzkow and Shapiro (213). The plotted lines indicate the local sensitivity of the given parameter estimate to an individual moment. A positive bar indicates that a (local) increase in the moment would increase the estimated value of the parameter. Higher bars indicate more influential moments for the identification of the parameter. For each moment, we plot the influence estimate for the cost of sorting (in blue) and for the social pressure cost (in orange) first for voters (Online Appendix Figure 6a) and then for non-voters (Online Appendix Figure 6b). 8

Online Appendix Figure 7. Sensitivity of Estimated Parameters to the Moments: Lying Cost (Full Estimation) Cost of Lying (L).3.2 -.3 -.4 -.5 Note: Online Appendix Figure 7 presents the sensitivity of the estimates to the individual moments following Gentzkow and Shapiro (213). The plotted lines indicate the local sensitivity of the given parameter estimate to an individual moment. A positive bar indicates that a (local) increase in the moment would increase the estimated value of the parameter. Higher bars indicate more influential moments for the identification of the parameter. For each moment, we plot the influence estimate for the lying cost. These estimates are for the full estimation case, which requires that on this subsample voters and non-voters have the same key parameters, allowing for estimation of the lying cost. 9 Effect on parameter in units of asymptotic standard deviation PH_V_NW_d5m PH_V_Nw_1d1m PH_V_Nw_1d5m PH_V_W_d5m PH_V_W_1d1m PH_V_W_1d5m PH_V_We_d5m PH_V_We_1d1m PH_V_We_1d5m PH_V_Oo_d5m PH_V_Oo_1d1m PH_V_Oo_1d5m PH_V_Ooe_d5m PH_V_Ooe_1d1m PH_V_Ooe_1d5m PH_NV_NW_d5m PH_NV_Nw_1d1m PH_NV_Nw_1d5m PH_NV_W_d5m PH_NV_W_1d1m PH_NV_W_1d5m PH_NV_We_d5m PH_NV_We_1d1m PH_NV_We_1d5m PH_NV_Oo_d5m PH_NV_Oo_1d1m PH_NV_Oo_1d5m PH_NV_Ooe_d5m PH_NV_Ooe_1d1m PH_NV_Ooe_1d5m PSV_V_NW_d5m PSV_V_Nw_1d1m PSV_V_Nw_1d5m PSV_V_W_d5m PSV_V_W_1d1m PSV_V_W_1d5m PSV_V_We_d5m PSV_V_We_1d1m PSV_V_We_1d5m PSV_V_Oo_d5m PSV_V_Oo_1d1m PSV_V_Oo_1d5m PSV_V_Ooe_d5m PSV_V_Ooe_1d1m PSV_V_Ooe_1d5m PSV_NV_NW_d5m PSV_NV_Nw_1d1m PSV_NV_Nw_1d5m PSV_NV_W_d5m PSV_NV_W_1d1m PSV_NV_W_1d5m PSV_NV_We_d5m PSV_NV_We_1d1m PSV_NV_We_1d5m PSV_NV_Oo_d5m PSV_NV_Oo_1d1m PSV_NV_Oo_1d5m PSV_NV_Ooe_d5m PSV_NV_Ooe_1d1m PSV_NV_Ooe_1d5m POO_V_Oo_d5m POO_V_Oo_1d1m POO_V_Oo_1d5m POO_V_Ooe_d5m POO_V_Ooe_1d1m POO_V_Ooe_1d5m POO_NV_Oo_d5m POO_NV_Oo_1d1m POO_NV_Oo_1d5m POO_NV_Ooe_d5m POO_NV_Ooe_1d1m POO_NV_Ooe_1d5m PSV_V_Nw_NoInfo PSV_V_Nw_Info PSV_V_W_NoInfo PSV_V_W_Info PSV_V_We_NoInfo PSV_V_We_Info PSV_V_Oo_NoInfo PSV_V_Oo_Info PSV_V_Ooe_NoInfo PSV_V_Ooe_Info PSV_NV_Nw_NoInfo PSV_NV_Nw_Info PSV_NV_W_NoInfo PSV_NV_W_Info PSV_NV_We_NoInfo PSV_NV_We_Info PSV_NV_Oo_NoInfo PSV_NV_Oo_Info PSV_NV_Ooe_NoInfo PSV_NV_Ooe_Info PL_V_5m_Control PL_V_5m_Incentive PL_V_1m_Control PL_V_1m_Incentive PL_NV_5m_Control PL_NV_5m_Incentive PL_NV_1m_Control PL_NV_1m_Incentive

Online Appendix Table 1. Survey Treatments, Robustness Specification: Dependent Variable: Group: $1/1min Treatment $1/5min Treatment Simple Flyer Treatments Flyer Treatments with Opt-out Mention of Election in Flyer Voters Informed at Door of Election Topic Omitted Treatment Fixed Effects for Solicitor, Date- Location, and Hour (Benchmark) Fixed Effects for Solicitor-Date- Location, and Hour R2 N OLS Regressions Indicator for Answering the Door Indicator for Completing Survey Voters Non-Voters Voters Non-Voters (1) (2) (3) (4) (5) (6) (7) (8).364**.314*.243.254.132.124.231***.266*** (.15) (.16) (.15) (.16) (.1) (.11) (.9) (.9).596***.518***.24.196.683***.638***.467***.47*** (.17) (.18) (.15) (.17) (.13) (.14) (.9) (.1).128.91.286.224.96***.948***.496***.51*** (.18) (.2) (.18) (.19) (.13) (.14) (.1) (.11) -.232 -.219.52.49.695***.731***.325***.349*** (.19) (.21) (.18) (.19) (.13) (.14) (.1) (.11) -.143 -.26 -.278** -.274* -.194* -.238** -.238*** -.216** (.13) (.14) (.14) (.15) (.11) (.12) (.8) (.9).1 -.18.47.85 (.9) (.1) (.8) (.8) No Flyer, $/5min Treatment No Flyer, $/5min, Not Informed Treatment X X X X X X X X.279.629.338.765.35.65.269.734 6,873 6,873 6,324 6,324 6,873 6,873 6,324 6,324 Notes: Estimates for a linear probability model with standard errors, clustered by solicitor-date, in parentheses. The omitted treatment is the Baseline No-Flyer $-5 minutes survey. The regressions include fixed effects for the solicitor, for the date-town combination, and for the hour of day in Columns 1,3, 5, 7. The regressions include in addition fixed effects for solicitor-date-town location in Columns 2, 4, 6, 8. * significant at 1%; ** significant at 5%; *** significant at 1% \ 1

Online Appendix Table 2. Survey Treatments, By Time Period Specification: Dependent Variable: Indicator for Answering the Door OLS Regressions Indicator for Completing Survey Indicator for Lie in Turnout Question Time Period: Summer Fall Summer Fall Summer Fall Summer Fall Summer Fall Summer Fall Group: Voters Non-Voters Voters Non-Voters Voters Non-Voters (1) (2) (3) (4) (5) (6) (7) (8) (9) (1) (11) (12) $1/1min Treatment.51***.11.72.46**.271** -.96.28.498*** (.18) (.26) (.2) (.23) (.14) (.16) (.12) (.12) $1/5min Treatment.69***.543*.39.434**.654***.7***.432***.534*** (.2) (.3) (.22) (.21) (.16) (.21) (.13) (.13) Simple Flyer Treatments.94.167 -.7.683***.953***.928***.268*.815*** (.24) (.29) (.25) (.25) (.18) (.21) (.14) (.14) Flyer Treatments with Opt-out -.24 -.299 -.181.356.766***.545***.28.57*** (.24) (.31) (.24) (.26) (.17) (.21) (.15) (.15) Mention of Election in Flyer -.125 -.14 -.112 -.472** -.8 -.331** -.27* -.273** (.18) (.19) (.18) (.21) (.15) (.16) (.11) (.12) Voters Informed at Door of Election.8 -.53.64.31 Topic (.12) (.13) (.11) (.11) Treatment with Incentive to Say that.263.162 52*** -.777 Did not Vote (.23) (.35) (.54) (.59) Omitted Treatment No Flyer, $/5min Treatment No Flyer, $/5min, Not Informed Treatment No Incentive to Lie Solicitor, Date-Location, Hour F.e. X X X X X X X X Date-Location F.e. X X X X R2.265.325.344.341.343.423.256.353.237.745.787.67 N 4,245 2,628 3,459 2,865 4,245 2,628 3,459 2,865 718 418 343 252 Notes: Estimates for a linear probability model with standard errors, clustered by solicitor-date, in parentheses. The regressions include fixed effects for the solicitor, for the date-town combination, and for the hour of day in Columns 1-8 and fixed effects for date-location in Columns 9-12. * significant at 1%; ** significant at 5%; *** significant at 1% 11

Online Appendix Table 3. Survey Treatments, By Political Registration Specification: Dependent Variable: Indicator for Answering the Door OLS Regressions Indicator for Completing Survey Lie in Turnout Question Political Registration: Republican Democratic Other Republican Democratic Other RepublicanDemocratic Other (1) (2) (3) (4) (5) (6) (7) (8) (9) Panel A. Voters $1/1min Treatment.64**.285.45*.272.8.273 (.25) (.23) (.25) (.18) (.17) (.17) $1/5min Treatment.544*.55**.887***.827***.612***.677*** (.28) (.25) (.29) (.21) (.19) (.21) Simple Flyer Treatments -.169.61** -.25.777*** 265***.758*** (.33) (.25) (.32) (.23) (.21) (.24) Flyer Treatments with Opt-out -.769**.322 -.593*.687***.81***.564** (.35) (.25) (.35) (.24) (.21) (.23) Mention of Election in Flyer.332 -.295 -.397.46 -.29* -.344* (.25) (.2) (.25) (.21) (.17) (.19) Voters Informed at Door of Election -.121.242* -.242 Topic (.17) (.14) (.17) Treatment with Incentive to Say that Did not Vote Omitted Treatment Solicitor, Date-Location, Hour F.e. Date-Location F.e. R2 N Panel B. Non-Voters $1/1min Treatment $1/5min Treatment Simple Flyer Treatments Flyer Treatments with Opt-out Mention of Election in Flyer Voters Informed at Door of Election Topic Treatment with Incentive to Say that Did not Vote.319.275.523 (.43) (.27) (.54) No Flyer, $/5min Treatment No Flyer, $/5min, Not Informed Treatment X X X X X X X X X.651.476.512.71.554.658 66.59.92 1,918 3,18 1,937 1,918 3,18 1,937 3 565 271.549.315.245 233**.71.193** (.61) (.33) (.18) (.48) (.21) (.9).78.11.241.241.461*.44*** (.72) (.39) (.17) (.51) (.26) (.1).811.463.225.916.448.55*** (.93) (.47) (.2) (.65) (.27) (.11) -.25.141.8.56.385.292** (.91) (.44) (.19) (.65) (.28) (.11) -.832 -.433 -.181 148*** -.114 -.215** (.69) (.34) (.15) (.43) (.22) (.9) -.7.46.31 (.43) (.19) (.9) 12 -. 998* -.97** (.265) (12) (.45) Omitted Treatment No Flyer, $/5min Treatment No Flyer, $/5min, Not Informed Treatment Solicitor, Date-Location, Hour F.e. X X X X X X X X X Date-Location F.e. X X X R2.271.816.381.2945.76.39.3762.2994.986 N 351 1,179 4,794 351 1,179 4,794 42 126 429 Notes: Estimates for a linear probability model with standard errors, clustered by solicitor-date, in parentheses. The regressions include fixed effects for the solicitor, for the date-town combination, and for the hour of day in Columns 1-8 and fixed effects for date-location in Columns 9-12. * significant at 1%; ** significant at 5%; *** significant at 1%

Online Appendix Table 4. Moments and Estimates on Erat and Gneezy (212) Decision Number: 1 2 3 4 5 Payoffs of A (Truth) Payoffs of B (Lie) Fraction Lying (Empirical) Fraction Lying (At Estimated Parameters) (2, 2) (19, 3) 33/11 (33%) 39% (2, 2) (21, 3) 49/11 (49%) 43% (2, 2) (3, 3) 66/12 (65%) 62% (2, 2) (21, 15) 38/14 (37%) 34% (2, 2) (3, 2) 57/19 (52%) 56% Parameter Estimates: Lying Cost Altruism Coefficient S.D. of error term 7. (1.4)***.29 (7)* 18.6 (4.)*** Notes: Estimates from minimum-distance estimator using the 5 moments shows above and weights given by the inverse of the variance of each moment. * significant at 1%; ** significant at 5%; *** significant at 1% 13