{"args":{},"checks":[{"abs_tol":null,"bind":"any","column":null,"failure_class":null,"field":"value","interval":false,"key":null,"kind":"answer_backed","min_lre":null,"note":"every number of the answer is stated by a tool call","open_interval":false,"rel_tol":null,"required":true,"source_id":null,"table":null,"tool":null,"value":null,"weight":1.0,"where":null},{"abs_tol":null,"bind":"answer_call","column":null,"failure_class":null,"field":"value","interval":true,"key":null,"kind":"answer_figure_close","min_lre":null,"note":"QRData eval.py: strictly inside gold \u00b1 3% (a '%' gold divided by 100), on the answer figure after meta.answer_format","open_interval":true,"rel_tol":null,"required":true,"source_id":"qrdata.gold.381","table":null,"tool":null,"value":[0.031039999999999998,0.03296],"weight":1.0,"where":null}],"datasets":{"minwage":{"columns":null,"description":"Two social science researchers examined the impact of raising the minimum wage on employment in the fast-food industry. In 1992, the state of New Jersey (NJ) in the United States raised the minimum wage from $4.25 to $5.05 per hour. Did such an increase in the minimum wage reduce employment as economic theory predicts? As discussed above, answering this question requires inference about the NJ employment rate in the absence of such a raise in the minimum wage. Since this counterfactual outcome is not observable, we must somehow estimate it using observed data.\nOne possible strategy is to look at another state in which the minimum wage did not increase. For example, the researchers of this study chose the neighboring state, Pennsylvania (PA), on the grounds that NJ\u2019s economy resembles that of Pennsylvania, and hence the fast-food restaurants in the two states are comparable. Under this cross-section comparison design, therefore, the fast-food restaurants in NJ serve as the treatment group receiving the treatment (i.e., the increase in the minimum wage), whereas those in PA represent the control group, which did not receive such a treatment. To collect pretreatment and outcome measures, the researchers surveyed the fast-food restaurants before and after the minimum wage increase. Specifically, they gathered information about the number of full-time employees, the number of part-time employees, and their hourly wages, for each restaurant.\n\nThe CSV file minwage.csv contains this data set.\nVariable Description\nchain: name of the fast-food restaurant chain\nlocation: location of the restaurants (centralNJ, northNJ, PA, shoreNJ, southNJ)\nwageBefore: wage before the minimum-wage increase\nwageAfter: wage after the minimum-wage increase\nfullBefore: number of full-time employees before the minimum-wage increase\nfullAfter: number of full-time employees after the minimum-wage increase\npartBefore: number of part-time employees before the minimum-wage increase\npartAfter: number of part-time employees after the minimum-wage increase","file_sha256":"3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970","format":"csv","frame_sha256":null,"generator":null,"kind":"file","licence":"CC BY-NC 4.0","member":"data/minwage.csv","object":null,"params":{},"path":null,"read_kw":{},"records":null,"role":"agent","sha256":"3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970","transforms":[],"url":"https://raw.githubusercontent.com/xxxiaol/QRData/de450af45ff7101b328bb064c6b475f73414a7ed/benchmark/data.zip"},"minwage_props":{"columns":null,"description":"minwage.csv with the proportion of full-time employees before and after (full / (full + part), QSS 2.5), its change, and nj = 1 outside Pennsylvania","file_sha256":"3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970","format":"csv","frame_sha256":null,"generator":null,"kind":"file","licence":"CC BY-NC 4.0","member":"data/minwage.csv","object":null,"params":{},"path":null,"read_kw":{},"records":null,"role":"reference","sha256":"3c3a97cca6fdd96f6856f7856b5f8bc786a31d1a9be78c9f610ef3070783e970","transforms":[{"args":{"args":{"columns":["fullAfter","partAfter"]},"name":"totalAfter","op":"sum"},"op":"derive"},{"args":{"args":{"left":"fullAfter","right":"totalAfter"},"name":"fullPropAfter","op":"ratio"},"op":"derive"},{"args":{"args":{"columns":["fullBefore","partBefore"]},"name":"totalBefore","op":"sum"},"op":"derive"},{"args":{"args":{"left":"fullBefore","right":"totalBefore"},"name":"fullPropBefore","op":"ratio"},"op":"derive"},{"args":{"args":{"left":"fullPropAfter","right":"fullPropBefore"},"name":"fullPropChange","op":"diff"},"op":"derive"},{"args":{"args":{"cmp":"ne","column":"location","value":"PA"},"name":"nj","op":"indicator"},"op":"derive"}],"url":"https://raw.githubusercontent.com/xxxiaol/QRData/de450af45ff7101b328bb064c6b475f73414a7ed/benchmark/data.zip"}},"difficulty":"M","id":"qrdata_socsci.381","level":"T2","meta":{"agent_reach":{"blocked_by":["reference_frame:minwage_props"],"dtypes":{},"named":{},"reachable":false,"rule":"magi_bench.reach/1"},"answer_format":{"figure_transform":"identity","round_to":3,"unit_scale":1.0},"answer_format_from":{"figure_transform":null,"round_to":"nearest thousandth","unit_scale":"1.0: an estimator's figure is on the gold's own scale"},"cluster":"minwage.csv","expected_tool":"infer.ols","family":"numerical","gold_defect":"rounding: the reference path, rounded to the thousandth the question asks for, falls outside the gold's interval; the unrounded value falls inside","gold_deviation":{"evidence":"Found in the scripted dry run 20261015T062545Z-suite-qrdata_socsci-scripted-0ae88c, after the spec was committed: the reference path gives 0.0314985 (infer.ols, n = 120), which rounds to 0.031 at the nearest thousandth the question asks for, outside eval.py's open interval (0.03104, 0.03296) around the gold 0.032; the unrounded value would fall inside. The rounding and the interval are left as frozen. Kind unverified (it was paper_rounding): no printed QSS figure shows the source rounding 0.0315 up, so the cause is not shown (B-join review).","kind":"unverified"},"headline_keys":{"infer.ols":["coef.nj"]},"native":{"answer":"0.032","keywords":["Social science","Statistics","Probability","Confounding bias"],"multiple_choices":null,"question_type":"numerical","reference":"Quantitative Social Science 2.5.2"},"native_id":381,"reference":{"cite":1,"note":"Caminho de refer\u00eancia inferido \u00e0 m\u00e3o.","steps":[{"args":{"dataset":"minwage_props","subset":"chain == 'burgerking' and location in ['northNJ', 'southNJ', 'PA']","x":["nj"],"y":"fullPropAfter"},"tool":"infer.ols","why":"The same difference over Burger King restaurants in northern NJ, southern NJ and PA."}]},"reference_path":{"calls":[{"args":{"dataset":"minwage_props","subset":"chain == 'burgerking' and location in ['northNJ', 'southNJ', 'PA']","x":["nj"],"y":"fullPropAfter"},"tool":"infer.ols"}],"needs":[],"provenance":"hand_inferred","quotes":{},"reference_datasets":["minwage_props"],"source_id":null},"reference_why":"The same difference over Burger King restaurants in northern NJ, southern NJ and PA."},"question":"We would like to reduce the confounding bias due to different fast-food chains and the location of restaurants. We only consider Burger King restaurants, and focus on the Burger King restaurants located in northern and southern NJ that are near PA, while excluding those in the Jersey shore and central New Jersey. What is the difference in the proportion of full-time Burger King employees in NJ (northern and southern only) and PA? Please round to the nearest thousandth.","requires":[],"runner":null,"sources":["qrdata.gold.381","qrdata.eval_py"],"split":"public","suite":"qrdata_socsci","tags":["econ-bench","external","qrdata","qss","numerical","reference_path"],"target":"agent","tool":null,"truth":"QRData gold: benchmark/QRData.json item 381 at de450af45ff7101b328bb064c6b475f73414a7ed"}