{"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.382","table":null,"tool":null,"value":[-0.06386,-0.06014],"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.382","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":"sign: the gold has the opposite sign of the difference in differences the question defines","gold_deviation":{"evidence":"The gold -0.062 has the opposite sign of the difference in differences the question defines (positive if raising the minimum wage increases the full-time proportion): the NJ change minus the PA change in the mean full-time proportion is +0.0616. Found by an independent pandas computation before any MAGI tool ran.","kind":"unverified"},"headline_keys":{"infer.ols":["coef.nj"]},"native":{"answer":"-0.062","keywords":["Social science","Statistics","Probability","Difference in differences"],"multiple_choices":null,"question_type":"numerical","reference":"Quantitative Social Science 2.5.3"},"native_id":382,"reference":{"cite":1,"note":"Caminho de refer\u00eancia inferido \u00e0 m\u00e3o.","steps":[{"args":{"dataset":"minwage_props","x":["nj"],"y":"fullPropChange"},"tool":"infer.ols","why":"Difference in differences as QSS 2.5.3 computes it: the NJ mean change in the full-time proportion minus the PA mean change (OLS of the change on the NJ indicator)."}]},"reference_path":{"calls":[{"args":{"dataset":"minwage_props","x":["nj"],"y":"fullPropChange"},"tool":"infer.ols"}],"needs":[],"provenance":"hand_inferred","quotes":{},"reference_datasets":["minwage_props"],"source_id":null},"reference_why":"Difference in differences as QSS 2.5.3 computes it: the NJ mean change in the full-time proportion minus the PA mean change (OLS of the change on the NJ indicator)."},"question":"Estimate the average treatment effect of raising the mininum wage on the proportion of full-time employees using difference-in-differences (DiD). Please round to the nearest thousandth. The answer is positive if raising the mininum wage increases the proportion of full-time employees.","requires":[],"runner":null,"sources":["qrdata.gold.382","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 382 at de450af45ff7101b328bb064c6b475f73414a7ed"}