{"call_id":"call_6114a8d2","run_id":"20261015T170050Z-suite-crb_papers-scripted-8b13b2/crb_papers.q071/e1a1","step":"data","kind":"note","name":"data.transform","version":"","code_version":"62cdbe0860ad","inputs":{"dataset":"ref_iv","index":0,"op":"filter","args":{"query":"R_STRATACOAFILTER == 0 and pid7 in [3, 5]"}},"input_digest":"","dataset_digests":{},"result":null,"outputs":{"rows_before":411,"rows_after":411,"frame_sha256_before":"3106b50bfe61ea6a17b002b883854d0071cb3a7ace57c192b16295552fa76bc0","frame_sha256_after":"3106b50bfe61ea6a17b002b883854d0071cb3a7ace57c192b16295552fa76bc0"},"output_digest":"","params_versions":[],"sources":[],"started_at":"2026-10-15T17:00:54.823926Z","duration_ms":1.748083159327507,"error":null,"decided_by":"code","rationale":"","cached":false,"informed_by":[],"model":null,"prompt":null,"response":null,"tokens_in":null,"tokens_out":null,"meta":{}}
{"call_id":"call_633d044e","run_id":"20261015T170050Z-suite-crb_papers-scripted-8b13b2/crb_papers.q071/e1a1","step":"data","kind":"note","name":"data.transform","version":"","code_version":"62cdbe0860ad","inputs":{"dataset":"ref_iv","index":1,"op":"dropna","args":{"columns":["pt_voteevalalignindex","pt_id_with_lean","treat","pre_lean_dem","age","age2","regyear","regyearmissing","twonames","combined_female","voted2006","voted2004","voted2002","voted2000","voted1998","voted1996","interest","pre_aligned_vh","pre_direct_unemp","pre_direct_econ","pre_direct_bushap","pre_direct_congapp","R_STRATACOAFILTER","pid7"]}},"input_digest":"","dataset_digests":{},"result":null,"outputs":{"rows_before":411,"rows_after":411,"frame_sha256_before":"3106b50bfe61ea6a17b002b883854d0071cb3a7ace57c192b16295552fa76bc0","frame_sha256_after":"3106b50bfe61ea6a17b002b883854d0071cb3a7ace57c192b16295552fa76bc0"},"output_digest":"","params_versions":[],"sources":[],"started_at":"2026-10-15T17:00:54.829296Z","duration_ms":0.7261671125888824,"error":null,"decided_by":"code","rationale":"","cached":false,"informed_by":[],"model":null,"prompt":null,"response":null,"tokens_in":null,"tokens_out":null,"meta":{}}
{"call_id":"call_24a79e2c","run_id":"20261015T170050Z-suite-crb_papers-scripted-8b13b2/crb_papers.q071/e1a1","step":"data","kind":"note","name":"data.transform","version":"","code_version":"62cdbe0860ad","inputs":{"dataset":"ref_iv","index":2,"op":"select","args":{"columns":["pt_voteevalalignindex","pt_id_with_lean","treat","pre_lean_dem","age","age2","regyear","regyearmissing","twonames","combined_female","voted2006","voted2004","voted2002","voted2000","voted1998","voted1996","interest","pre_aligned_vh","pre_direct_unemp","pre_direct_econ","pre_direct_bushap","pre_direct_congapp"]}},"input_digest":"","dataset_digests":{},"result":null,"outputs":{"rows_before":411,"rows_after":411,"frame_sha256_before":"3106b50bfe61ea6a17b002b883854d0071cb3a7ace57c192b16295552fa76bc0","frame_sha256_after":"f2e0e4afeccdce756884c94c9302a5eeaee61fd2b05b8acb8f3e23784bcc5635"},"output_digest":"","params_versions":[],"sources":[],"started_at":"2026-10-15T17:00:54.833311Z","duration_ms":0.9577090386301279,"error":null,"decided_by":"code","rationale":"","cached":false,"informed_by":[],"model":null,"prompt":null,"response":null,"tokens_in":null,"tokens_out":null,"meta":{}}
{"call_id":"call_ceba2019","run_id":"20261015T170050Z-suite-crb_papers-scripted-8b13b2/crb_papers.q071/e1a1","step":"analysis","kind":"llm","name":"llm.analyst.scripted","version":"","code_version":"62cdbe0860ad","inputs":{"tools":["calc__annuity","calc__breakeven","calc__combine","calc__discount","calc__fiscal_impact","core__atkinson","core__equivalent_variation","core__fgt","core__gini","core__indirect_incidence","core__kakwani","core__mvpf","core__palma","core__quantile_shares","core__reynolds_smolensky","core__scale_effect","core__theil","core__welfare_change","data__cite","data__describe","data__siconfi","data__sidra","evidence__pool_dl","infer__ate","infer__density_test","infer__did_2x2","infer__did_staggered","infer__event_study","infer__fe","infer__fisher_exact","infer__iv_2sls","infer__linear_hypothesis","infer__mde","infer__neyman","infer__ols","infer__power","infer__randomization_inference","infer__rdd","infer__sample_size","infer__twfe","infer__wald_late","submit_answer"],"exemplars":[]},"input_digest":"","dataset_digests":{},"result":null,"outputs":null,"output_digest":"","params_versions":[],"sources":[],"started_at":"2026-10-15T17:00:54.851922Z","duration_ms":0.0,"error":null,"decided_by":"model","rationale":"","cached":false,"informed_by":[],"model":"reference","prompt":"# Role\nYou are MAGI's economist. A municipal analyst in Brazil asks a question; you answer it by choosing registered tools and their arguments. The tools compute every number. Your job is to recognise how the data were generated, pick the tool whose design matches, read what it reports, and say what the result means for the analyst.\n\n# Rules\n1. You never compute a number. Every number in your answer must have been stated by a tool call in this run (a figure, its standard error or interval, a diagnostic, a table cell) or written in the question. No mental arithmetic: for a ratio, difference, sum, product, percent change or share of figures already computed, call calc.combine; to restate a log-point coefficient as a percent or an effect in standard deviations, call core.scale_effect.\n2. Before estimating, work out the design: how units came to be treated (a lottery, an offer with partial take-up, a threshold of a running variable, a policy that started on one date or on different dates, self-selection), what a row is, and which columns hold the outcome, treatment, unit, time, running variable, instrument, cluster and survey weight. Call data.describe when the columns are unclear. Then choose the tool whose \"Use when\" matches and heed its \"Avoid when\".\n3. Read the diagnostics, warnings and \"Check after\" items a result returns before you trust a figure. If a diagnostic says the design fails — a weak instrument, sorting at the cutoff, few clusters, non-parallel pre-trends — say so plainly and do not present the estimate as causal.\n4. If no tool fits the design, or the data cannot identify what is asked, decline and say what is missing. Never invent a design, a column or a number.\n5. A tool that errors or declines returns its reason; fix the arguments and call again, or choose another tool.\n6. Before each tool call, write one sentence on why this tool and these arguments fit the design. It is recorded as your rationale.\n7. Finish with submit_answer. Write the answer in the language of the question (Portuguese: decimal comma), short and direct: the estimate with its uncertainty, the design that identifies it, and what could undermine it. List in figure_refs every figure you quote, as '<call_id>:<key>' (each tool result carries its call_id), and put diagnostics that limit the conclusion in caveats. Write numbers as the tools stated them; do not quote rule-of-thumb thresholds as numbers.\n\n# Datasets\nPass a dataset's id as the `dataset` argument.\n{\n \"id\": \"ds_0041\",\n \"rows\": 411,\n \"description\": \"| Variable Name | Description |\\n|---------------|-------------|\\n| twonames | Indicator from voter file for whether two registered people share the household name. |\\n| strata | Sampling strata code used in the survey frame. |\\n| treat | Randomly assigned mailing status: 1 if selected to be sent the January 22, 2008 nonpartisan letter explaining Connecticut's primary-registration rules, accompanied by a blank party-affiliation form; 0 if not sent this study mailing. This records mailing assignment, not confirmed reading or subsequent party identification. |\\n| voted2006 | Voter-file indicator for whether the person voted in 2006. |\\n| voted2004 | Voter-file indicator for whether the person voted in 2004. |\\n| voted2002 | Voter-file indicator for whether the person voted in 2002. |\\n| voted2000 | Voter-file indicator for whether the person voted in 2000. |\\n| voted1998 | Voter-file indicator for whether the person voted in 1998. |\\n| voted1996 | Voter-file indicator for whether the person voted in 1996. |\\n| age | Respondent age in years at the time of survey. |\\n| regyear | Year the person first registered to vote (from voter file). |\\n| voted2008 | Administrative voter-file indicator of voting in the February 5, 2008 Connecticut presidential primary; unavailable for some respondents where town reporting was incomplete. |\\n| pid7 | Baseline January 2008 party-identification scale: 1=strong Democrat, 2=weak Democrat, 3=independent leaning Democratic, 4=independent without a party lean, 5=independent leaning Republican, 6=weak Republican, 7=strong Republican. Only baseline values 3 and 5 appear in this extract. |\\n| interest | Self‑reported interest in the election (survey item). |\\n| votein2000 | Pre‑survey report of who the respondent voted for in the 2000 presidential race. |\\n| vote2000bush | Indicator (pre‑survey) for reporting a vote for Bush in 2000. |\\n| vote2000gore | Indicator (pre‑survey) for reporting a vote for Gore in 2000. |\\n| econretro | Pre‑survey retrospective evaluation of the economy. |\\n| unemployment | Pre‑survey view of unemployment / job market performance. |\\n| bushapp | Pre‑survey approval rating for President Bush. |\\n| congapp | Pre‑survey approval rating for Congress. |\\n| pt_gotmail | Post‑survey indicator reporting whether the respondent received campaign mail. |\\n| pt_gotphone | Post‑survey indicator reporting whether the respondent received campaign phone contact. |\\n| pt_gotface | Post‑survey indicator reporting whether the respondent experienced face‑to‑face campaign contact. |\\n| pt_gotmoney | Post‑survey indicator reporting whether the respondent received a fundraising request. |\\n| pt_gotad | Post‑survey indicator reporting whether the respondent saw campaign advertising. |\\n| pt_persuadeothers | Post‑survey report of attempts to persuade others about politics. |\\n| pt_soughtinfo | Post‑survey report of seeking political information. |\\n| pt_interest | Post‑survey reported interest in upcoming elections. |\\n| pt_pid7 | June 2008 follow-up party-identification response, using the same 1–7 coding as pid7. |\\n| pt_votein2000 | Post‑survey report of who the respondent said they voted for in 2000. |\\n| pt_vote2000bush | Post‑survey indicator for reporting a vote for Bush in 2000. |\\n| pt_vote2000gore | Post‑survey indicator for reporting a vote for Gore in 2000. |\\n| pt_novvote | Post‑survey reported intended vote for the November election. |\\n| pt_stayiniraq | Post‑survey attitude about whether to keep troops in Iraq. |\\n| pt_taxrich | Post‑survey attitude about taxation of high‑income individuals. |\\n| pt_evalreagan | Post‑survey evaluative rating of Ronald Reagan. |\\n| pt_evalcarter | Post‑survey evaluative rating of Jimmy Carter. |\\n| pt_evaldem | Post‑survey evaluative rating of the Democratic Party. |\\n| pt_evalrep | Post‑survey evaluative rating of the Republican Party. |\\n| pt_econretro | Post‑survey retrospective evaluation of the economy. |\\n| pt_postunemployperf | Post‑survey perception of unemployment performance. |\\n| pt_bushapp | Post‑survey approval rating for President Bush. |\\n| pt_congapp | Post‑survey approval rating for Congress. |\\n| pt_campaigndonation | Post‑survey indicator for whether the respondent donated to a campaign. |\\n| pt_educ | Respondent education level as recorded in the postsurvey dataset. |\\n| pt_black | Post‑survey indicator for self‑reported Black race. |\\n| pt_hispanic | Post‑survey indicator for self‑reported Hispanic ethnicity. |\\n| pt_church | Post‑survey measure related to church attendance or religiosity. |\\n| pt_yob | Post‑survey year of birth field. |\\n| pt_female | Post‑survey female indicator. |\\n| townshowsnoturnoutinvoterfile | Town‑level flag indicating absence of turnout reporting in the voter file for certain towns. |\\n| R_persondead | Administrative flag indicating the voter‑file record shows the person as deceased. |\\n| R_movedpre | Administrative flag for a move detected prior to the study period. |\\n| R_movedpost | Administrative flag for a move detected after the intervention period. |\\n| R_badmailadddress | Administrative flag for a problematic mailing address. |\\n| R_anybad | Any bad‑record flag summarizing address/person problems. |\\n| R_STRATACOAFILTER | Administrative/sample filter flag used in constructing the analytic sample. |\\n| SD_2 | Sample/design indicator (one of several strata/dummy indicators). |\\n| SD_3 | Sample/design indicator (one of several strata/dummy indicators). |\\n| SD_4 | Sample/design indicator (one of several strata/dummy indicators). |\\n| SD_5 | Sample/design indicator (one of several strata/dummy indicators). |\\n| SD_6 | Sample/design indicator (one of several strata/dummy indicators). |\\n| SD_7 | Sample/design indicator (one of several strata/dummy indicators). |\\n| SD_8 | Sample/design indicator (one of several strata/dummy indicators). |\\n| SD_9 | Sample/design indicator (one of several strata/dummy indicators). |\\n| SDA_1 | Auxiliary sample/design indicator used in weighting/stratification. |\\n| SDA_2 | Auxiliary sample/design indicator used in weighting/stratification. |\\n| SDA_3 | Auxiliary sample/design indicator used in weighting/stratification. |\\n| SDA_5 | Auxiliary sample/design indicator used in weighting/stratification. |\\n| SDA_6 | Auxiliary sample/design indicator used in weighting/stratification. |\\n| SDA_7 | Auxiliary sample/design indicator used in weighting/stratification. |\\n| stratactr | Numeric stratification or centering variable for sample design. |\\n| altstrata | Alternative strata identifier used in some analyses. |\\n| SI_2 | Additional sample/indicator variable (survey instrumentation or strata). |\\n| SI_3 | Additional sample/indicator variable (survey instrumentation or strata). |\\n| SI_4 | Additional sample/indicator variable (survey instrumentation or strata). |\\n| SI_5 | Additional sample/indicator variable (survey instrumentation or strata). |\\n| SI_6 | Additional sample/indicator variable (survey instrumentation or strata). |\\n| SI_7 | Additional sample/indicator variable (survey instrumentation or strata). |\\n| SI_8 | Additional sample/indicator variable (survey instrumentation or strata). |\\n| SI_9 | Additional sample/indicator variable (survey instrumentation or strata). |\\n| STI_1 | Set of indicator variables used for survey/strata adjustments (STI series). |\\n| STI_2 | Set of indicator variables used for survey/strata adjustments (STI series). |\\n| STI_3 | Set of indicator variables used for survey/strata adjustments (STI series). |\\n| STI_4 | Set of indicator variables used for survey/strata adjustments (STI series). |\\n| STI_5 | Set of indicator variables used for survey/strata adjustments (STI series). |\\n| STI_6 | Set of indicator variables used for survey/strata adjustments (STI series). |\\n| STI_7 | Set of indicator variables used for survey/strata adjustments (STI series). |\\n| STI_8 | Set of indicator variables used for survey/strata adjustments (STI series). |\\n| STI_9 | Set of indicator variables used for survey/strata adjustments (STI series). |\\n| post_unif | Post‑survey indicator related to unaffiliated registration status. |\\n| post_affil | Post‑survey indicator for any party affiliation in administrative records. |\\n| post_dem | Post‑survey indicator for Democratic registration in administrative records. |\\n| post_rep | Post‑survey indicator for Republican registration in administrative records. |\\n| post_DUR | Administrative/post variable capturing duration or timing of post‑registration changes. |\\n| vffemale | Gender as recorded in the voter file (female indicator). |\\n| vfgendermissing | Flag for missing gender in the voter file. |\\n| age2 | Age squared (for use in models). |\\n| twophones | Indicator for whether two phone numbers were associated with the record. |\\n| regyearmissing | Indicator that the registration‑year field was missing. |\\n| combined_female | Combined female indicator (harmonized across survey/voter file). |\\n| pre_direct_bushap | Pre‑survey direct question on approval of President Bush. |\\n| pt_direct_bushap | Post‑survey direct question on approval of President Bush. |\\n| pre_direct_congapp | Pre‑survey direct question on approval of Congress. |\\n| pt_direct_congapp | Post‑survey direct question on approval of Congress. |\\n| pt_direct_bin_novvote | Post‑survey binary indicator of intended November vote (binary encoding). |\\n| pre_aligned_vh | Pre‑survey measure of alignment between partisan leanings and vote/party views (baseline index). |\\n| post_aligned_vh | Post‑survey measure of alignment between partisan leanings and vote/party views (follow‑up index). |\\n| pre_direct_econ | Pre‑survey direct evaluation of the economy. |\\n| pre_direct_unemp | Pre‑survey direct evaluation of unemployment. |\\n| post_direct_econ | Post‑survey direct evaluation of the economy. |\\n| post_direct_unemp | Post‑survey direct evaluation of unemployment. |\\n| post_aligned_iraq | Post‑survey alignment index for Iraq policy position relative to partisan leaning. |\\n| post_aligned_taxrich | Post‑survey alignment index for taxation policy relative to partisan leaning. |\\n| post_aligned_reagan | Post‑survey alignment index for Reagan evaluation relative to partisan leaning. |\\n| post_aligned_carter | Post‑survey alignment index for Carter evaluation relative to partisan leaning. |\\n| post_aligned_rep | Post‑survey alignment index for Republican party evaluations. |\\n| post_aligned_dem | Post‑survey alignment index for Democratic party evaluations. |\\n| pre_lean_dem | Baseline leaning indicator: 1 for Democratic leaners (pid7=3), 0 for Republican leaners (pid7=5) in this extract. |\\n| pt_voteevalalignindex | Additive follow-up alignment score combining reported 2000 presidential vote choice, intended November 2008 vote, and evaluations of the Democratic and Republican parties, oriented toward the respondent's baseline party lean. Larger values indicate greater alignment; this is an index score, not a probability. |\\n| abspid7 | Absolute value or intensity measure derived from the seven‑point party identification scale. |\\n| pt_id_with_lean | Follow-up self-identification with the party leaned toward at baseline: 1 for a baseline Democratic leaner reporting weak or strong Democratic identification in June, or a baseline Republican leaner reporting weak or strong Republican identification; 0 otherwise. This is a survey measure, distinct from administrative party registration. |\\n| pt_direct_pid7 | Post‑survey direct 7‑point party identification item. |\\n| post_reg_lean | Post‑registration indicator of party lean in administrative records. |\\n| pt_voteevalalignindexwithcb | Variant of the vote/evaluation alignment index that includes additional control adjustments. |\\n| pt_voteevalalignindexwitcbhist | Historical/alternative variant of the vote/evaluation alignment index. |\\n| pt_policyevalalignindex | Composite index measuring alignment between policy positions and partisan leanings (post‑survey). |\\n\\nData Description: This person-level extract links telephone interviews with Connecticut administrative voter-file records around the 2008 presidential primary. The sampling frame consisted of registered voters who were not formally affiliated with a party. The study targeted ages 18–49 and recent voters, with an additional eligibility route for younger recent registrants, and screened contact records for telephone and mailing availability. The baseline survey was conducted January 11–16, 2008. This released analytic extract contains 411 respondents who initially described themselves as independents leaning toward either the Democratic or Republican Party: 265 Democratic leaners and 146 Republican leaners.\\n\\nA randomly selected half of the experimental participants were sent a nonpartisan letter on January 22, 2008, with a blank party-affiliation form. The letter explained that participation in a party's February 5 presidential primary required registration with that party. The remaining participants were not sent this study mailing. Mailing assignment is recorded by treat; becoming a party identifier or changing administrative registration was not itself assigned.\\n\\nA follow-up telephone survey in June 2008 measured party identification, intended November voting, recalled earlier voting, party evaluations, policy attitudes, and campaign contacts. A voter-file update supplied registration changes and primary turnout. The file therefore distinguishes mailing assignment, subsequent self-reported party identity, administrative party registration, and follow-up political attitudes. Respondents were not all reinterviewed in the original study; the released analytic subset should not be interpreted as the entire originally sampled population.\\n\",\n \"columns\": {\n  \"twonames\": \"float64\",\n  \"strata\": \"float64\",\n  \"treat\": \"float64\",\n  \"voted2006\": \"float64\",\n  \"voted2004\": \"float64\",\n  \"voted2002\": \"float64\",\n  \"voted2000\": \"float64\",\n  \"voted1998\": \"float64\",\n  \"voted1996\": \"float64\",\n  \"age\": \"float64\",\n  \"regyear\": \"float64\",\n  \"voted2008\": \"float64\",\n  \"pid7\": \"float64\",\n  \"interest\": \"float64\",\n  \"votein2000\": \"float64\",\n  \"vote2000bush\": \"float64\",\n  \"vote2000gore\": \"float64\",\n  \"econretro\": \"float64\",\n  \"unemployment\": \"float64\",\n  \"bushapp\": \"float64\",\n  \"congapp\": \"float64\",\n  \"pt_gotmail\": \"float64\",\n  \"pt_gotphone\": \"float64\",\n  \"pt_gotface\": \"float64\",\n  \"pt_gotmoney\": \"float64\",\n  \"pt_gotad\": \"float64\",\n  \"pt_persuadeothers\": \"float64\",\n  \"pt_soughtinfo\": \"float64\",\n  \"pt_interest\": \"float64\",\n  \"pt_pid7\": \"float64\",\n  \"pt_votein2000\": \"float64\",\n  \"pt_vote2000bush\": \"float64\",\n  \"pt_vote2000gore\": \"float64\",\n  \"pt_novvote\": \"float64\",\n  \"pt_stayiniraq\": \"float64\",\n  \"pt_taxrich\": \"float64\",\n  \"pt_evalreagan\": \"float64\",\n  \"pt_evalcarter\": \"float64\",\n  \"pt_evaldem\": \"float64\",\n  \"pt_evalrep\": \"float64\",\n  \"pt_econretro\": \"float64\",\n  \"pt_postunemployperf\": \"float64\",\n  \"pt_bushapp\": \"float64\",\n  \"pt_congapp\": \"float64\",\n  \"pt_campaigndonation\": \"float64\",\n  \"pt_educ\": \"float64\",\n  \"pt_black\": \"float64\",\n  \"pt_hispanic\": \"float64\",\n  \"pt_church\": \"float64\",\n  \"pt_yob\": \"float64\",\n  \"pt_female\": \"float64\",\n  \"townshowsnoturnoutinvoterfile\": \"float64\",\n  \"R_persondead\": \"float64\",\n  \"R_movedpre\": \"float64\",\n  \"R_movedpost\": \"float64\",\n  \"R_badmailadddress\": \"float64\",\n  \"R_anybad\": \"float64\",\n  \"R_STRATACOAFILTER\": \"float64\",\n  \"SD_2\": \"float64\",\n  \"SD_3\": \"float64\",\n  \"SD_4\": \"float64\",\n  \"SD_5\": \"float64\",\n  \"SD_6\": \"float64\",\n  \"SD_7\": \"float64\",\n  \"SD_8\": \"float64\",\n  \"SD_9\": \"float64\",\n  \"SDA_1\": \"float64\",\n  \"SDA_2\": \"float64\",\n  \"SDA_3\": \"float64\",\n  \"SDA_5\": \"float64\",\n  \"SDA_6\": \"float64\",\n  \"SDA_7\": \"float64\",\n  \"stratactr\": \"float64\",\n  \"altstrata\": \"float64\",\n  \"SI_2\": \"float64\",\n  \"SI_3\": \"float64\",\n  \"SI_4\": \"float64\",\n  \"SI_5\": \"float64\",\n  \"SI_6\": \"float64\",\n  \"SI_7\": \"float64\",\n  \"SI_8\": \"float64\",\n  \"SI_9\": \"float64\",\n  \"STI_1\": \"float64\",\n  \"STI_2\": \"float64\",\n  \"STI_3\": \"float64\",\n  \"STI_4\": \"float64\",\n  \"STI_5\": \"float64\",\n  \"STI_6\": \"float64\",\n  \"STI_7\": \"float64\",\n  \"STI_8\": \"float64\",\n  \"STI_9\": \"float64\",\n  \"post_unif\": \"float64\",\n  \"post_affil\": \"float64\",\n  \"post_dem\": \"float64\",\n  \"post_rep\": \"float64\",\n  \"post_DUR\": \"float64\",\n  \"vffemale\": \"float64\",\n  \"vfgendermissing\": \"float64\",\n  \"age2\": \"float64\",\n  \"twophones\": \"float64\",\n  \"regyearmissing\": \"float64\",\n  \"combined_female\": \"float64\",\n  \"pre_direct_bushap\": \"float64\",\n  \"pt_direct_bushap\": \"float64\",\n  \"pre_direct_congapp\": \"float64\",\n  \"pt_direct_congapp\": \"float64\",\n  \"pt_direct_bin_novvote\": \"float64\",\n  \"pre_aligned_vh\": \"float64\",\n  \"post_aligned_vh\": \"float64\",\n  \"pre_direct_econ\": \"float64\",\n  \"pre_direct_unemp\": \"float64\",\n  \"post_direct_econ\": \"float64\",\n  \"post_direct_unemp\": \"float64\",\n  \"post_aligned_iraq\": \"float64\",\n  \"post_aligned_taxrich\": \"float64\",\n  \"post_aligned_reagan\": \"float64\",\n  \"post_aligned_carter\": \"float64\",\n  \"post_aligned_rep\": \"float64\",\n  \"post_aligned_dem\": \"float64\",\n  \"pre_lean_dem\": \"float64\",\n  \"pt_voteevalalignindex\": \"float64\",\n  \"abspid7\": \"float64\",\n  \"pt_id_with_lean\": \"float64\",\n  \"pt_direct_pid7\": \"float64\",\n  \"post_reg_lean\": \"float64\",\n  \"pt_voteevalalignindexwithcb\": \"float64\",\n  \"pt_voteevalalignindexwitcbhist\": \"float64\",\n  \"pt_policyevalalignindex\": \"float64\"\n }\n}\n{\n \"id\": \"ref_iv\",\n \"rows\": 411,\n \"description\": \"Respondents with R_STRATACOAFILTER == 0 and pid7 in (3, 5), complete rows\",\n \"columns\": {\n  \"pt_voteevalalignindex\": \"float64\",\n  \"pt_id_with_lean\": \"float64\",\n  \"treat\": \"float64\",\n  \"pre_lean_dem\": \"float64\",\n  \"age\": \"float64\",\n  \"age2\": \"float64\",\n  \"regyear\": \"float64\",\n  \"regyearmissing\": \"float64\",\n  \"twonames\": \"float64\",\n  \"combined_female\": \"float64\",\n  \"voted2006\": \"float64\",\n  \"voted2004\": \"float64\",\n  \"voted2002\": \"float64\",\n  \"voted2000\": \"float64\",\n  \"voted1998\": \"float64\",\n  \"voted1996\": \"float64\",\n  \"interest\": \"float64\",\n  \"pre_aligned_vh\": \"float64\",\n  \"pre_direct_unemp\": \"float64\",\n  \"pre_direct_econ\": \"float64\",\n  \"pre_direct_bushap\": \"float64\",\n  \"pre_direct_congapp\": \"float64\"\n }\n}\n\n# Question\nAmong registered Connecticut respondents who initially leaned toward a party but were unaffiliated, what is the causal effect of subsequently identifying with that party (i.e., post-survey self-reported party identification) on the alignment between their voting intentions and evaluations of parties and candidates (the Voting and Party Alignment index)? 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