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Massachusetts Occupational Safety and Health Statistics Dataset

  Dataset Description

This dataset contains workplace safety information extracted from the Massachusetts Occupational Safety and Health Statistics Program between 2017 and 2022, including injuries by industry, occupation, and demographic data. It provides structured, machine-readable data converted from PDF reports that offer insights into workplace safety trends across Massachusetts.

  Overview

The… See the full description on the dataset page: https://huggingface.co/datasets/evijit/MA_Occupational_Safety_Reports.

The Health Division of the Department of Inspectional Services ensures that all food establishments in the City of Boston meet relevant sanitary codes and standards. Businesses that serve food are inspected at least once a year, and follow-up inspections are performed on high risk establishments. Health inspections are also conducted in response to complaints of unsanitary conditions or illness. This is a legacy dataset containing records of individual inspections and results.

These datasets include Food Establishment Inspections processed from the city’s open data initiative (data.boston.gov), and the connection with data scraped from Yelp (namely, Yelp reviews) scraped by BARI. The data is within the city of Boston. The Food Inspections dataset is released by the Health Division of the Department of Inspectional Services of Boston which ensures that all food establishments in the City of Boston meet relevant sanitary codes and standards. The data scraped from Yelp pages includes information about restaurants in Boston that were reviewed on yelp.com. Thus, the data includes two files: Food.Inspections.Records.csv contains information about food inspections at record level (i.e. each record for each restaurant is included). Food.Inspections.Yelp.Restaurant.csv contains information about food inspections at the restaurant level plus information from Yelp reviews also at the restaurant level.

This is data and code for "Hospital Network Competition and Adverse Selection" to be published in the American Economic Review. Here is the paper's abstract:Health insurers increasingly compete on their networks of medical providers. Using data from Massachusetts’ insurance exchange, I find substantial adverse selection against plans covering the most prestigious and expensive “star” hospitals. I highlight a theoretically distinct selection channel: consumers loyal to star hospitals incur high spending, conditional on their medical state, because they use these hospitals' expensive care. This implies heterogeneity in consumers' incremental costs of gaining access to star hospitals, posing a challenge for standard selection policies. Along with selection on unobserved sickness, I find this creates strong incentives to exclude star hospitals, even with risk adjustment in place.

Characteristics of Massachusetts residents with at least one FQHC visit versus no visits in 2010 in APCD.

Characteristics and STI testing of 2019 MassHealth members age 13–64b'*': Overall and by plan type.

Data scrapped from vlr.gg

Features: -Player: Player Nickname -Country -Team -FirstAgent: Main agent played -SecondAgent: Second agent most played (if not OTP) -MoreThan2Agents: 1 when the player played more than two agents -OTP: 1 when the player only played one agent -Rounds -AverageCombatScore -KillsDeaths: KD -AverageDamagePerRound -KillsPerRound -AssistsPerRound -FirstKillsPerRound -FirstDeathsPerRound -HeadshotPercentage: Headshots*100/all shots -ClutchesPercentage: clutches won/all clutches -MaxKillsPerMap -Kills: Total kills -Deaths: Total deaths -Assists: Total assists -FirstKills -FirstDeaths

Changes in FQHC funding and FQHC visit patterns, 2010–2013.

Dataset

This dataset was created by M.A.RAFI

Released under CC0: Public Domain

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