Microeconomics (2nd Edition) (Pearson Series in Economics)
Microeconomics (2nd Edition) (Pearson Series in Economics)
2nd Edition
ISBN: 9780134492049
Author: Daron Acemoglu, David Laibson, John List
Publisher: PEARSON
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Chapter 2, Problem 6P
To determine

The link between education and salaries.

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Suppose a researcher is using a panel data set on n = 10,000 workers over T = 20 years (from 2000 through 2019) that contains the workers’ earnings, sex, education, and age. The researcher is interested in the effect of education on earnings. Give some examples of unobserved person-specific variables that are correlated with both education and earnings. Can you think of examples of time-specific variables that might be correlated with education and earnings? How would you control for these person-specific and time-specific effects in a panel data regression?
The following is an excerpt from "The Labor Market Effects of Rising Health Insurance Premiums," by Katherine Baicker, Amitabh Chandra.   We estimate the effect of rising health insurance premiums on wages, employment, and the distribution of part‐time and full‐time work using variation in medical malpractice payments driven by the recent “medical malpractice crisis.” We estimate that a 10% increase in health insurance premiums reduces the aggregate probability of being employed by 1.2 percentage points, reduces hours worked by 2.4%, and increases the likelihood that a worker is employed only part time by 1.9 percentage points. For workers covered by employer provided health insurance, this increase in premiums results in an offsetting decrease in wages of 2.3%.   This finding is consistent with the presence of ____.
Summarize the five most commonly used demographic variables.
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