E. Is unemployment rate a determinant of the murder rate in this data? Answer "YES" or "NO"______________.F. Is the treatment effect statistically significant at the 95% confidence level? That is, did removing the assault weapons ban have a statistically significant effect on the murder rate? Hint: Think about which coefficient we care about in a diff-in-diff set up. Answer "YES" or "NO"._____________.G. Does running this as a two-way fixed effects model make sense? Answer by inputting the number that is associated with the correct statement:______________. Firing Blanks?The following is analysis from my senior undergraduate thesis from 2015 (when I was an Anteater;Zot Zot) examining the effect of California's assault weapon's ban on crime rates. This paper uses amodified difference-in-difference estimator. The treatment group is Non-CA states, who let thefederal assault weapons ban in 2004 lapse while California maintained a state assault weapons ban,serving as our control. The data examines per capita crime, various controls, as well astreatment/control and pre/post treatment for counties that lie exactly on the border of CA withNevada, Oregon, and Arizona. I estimated the following regression:In(Murder) = -8.36 – 0.02 Povertyt – 0.06CountyUnemployment(0.03)(5.57)(0.08)- 0.14(POST × Treat)(0.35)The interaction term, Post X Treat measures the interaction between counties within the treatmentstates.Round to 2 decimal places and include a negative sign if necessary.

Answer - Given in the question-

E. Is unemployment rate a determinant of the murder rate in this data? Answer "YES" or "NO"______________. F. Is the treatment effect statistically significant at the 95% confidence level? That is, did removing the assault weapons ban have a statistically significant effect on the murder rate? Hint: Think about which coefficient we care about in a diff-in-diff set up. Answer "YES" or "NO"._____________. G. Does running this as a two-way fixed effects model make sense? Answer by inputting the number that is associated with the correct statement:______________.

E. Is unemployment rate a determinant of the murder rate in this data? Answer "YES" or "NO"________. F. Is the treatment effect statistically significant at the 95% confidence level? That is, did removing the assault weapons ban have a statistically significant effect on the murder rate? Hint: Think about which coefficient we care about in a diff-in-diff set up. Answer "YES" or "NO"._. G. Does running this as a two-way fixed effects model make sense? Answer by inputting the number that is associated with the correct statement:________.

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter4: Estimating Demand

Section: Chapter Questions

Problem 1.4CE

See similar textbooks

Similar questions

Suppose that the government tends to maximize the tax revenue. How would the cannabis price drop affect the government tax revenue if cannabis was taxed by price? Did the government anticipate the cannabis price drop when designing the tax scheme? You may come up with an artificial numerical example to support your findings. are alcohol and cigarettes substitutes or complements of cannabis?(The answer to this question depends on the actual consumption data. If you do not know the data, you may make an assumption. Then, you should stick with this assumption for the rest of your analysis. For example, if you assume that alcohol and cigarettes are substitutes of cannabis, then your entire analysis is based upon this assumption.) How would the change in the price of cannabis possibly affect the market demand curve for alcohol/cigarettes?
In 2017, Philadelphia launched a sweetened beverage tax of 1.5 cents per ounce, raising the cost of a 2-liter soda bottle from about $1.50 to $2.50. One year later, the Philadelphia mayor wants to evaluate if this "sugar tax" improves the health status of Philadelphia Propose ONE method (i.e. difference-in-difference, instrumental variables, or regression discontinuity) to address these questions. write down its implementation details (the type of data you need, potential sources to get the data, equations) its pros and cons Only Typing answer please I need ASAP
A teacher observes that the mitterm grades of students in the class varies depending on “the number of classes that the student takes”, “the difficulty of the assignments”, and the “stress experienced by the student”. She assigns to you the task of doing a research project on this and wants you to do the following: a. Give the project a suitable title b. What is the research question? c. Clearly label the variables (dependent and independent) d. Develop three hypotheses
Tendency of measuring correlation of two variables is classified as A. tendency coefficient B. variable coefficient C. correlation coefficient D. double coefficient
Solve for the coefficient of correlation
Regression analysis and the correlation coefficient can both be used to analyze the relationship between two economic variables. What are the advantages of using regression analysis instead of looking at the correlation coefficient?
Please ASAP. Thankyou. QUESTION 24 A quality adjusted life year is defined as? A. Health adjusted life expectancy for men B. A measure of disease burden including both quality and the quantity of life lived C. Potential years of life lost for vulnerable populations D. Health related quality of life for women QUESTION The purpose of a model is to illustrate relations between economic variables.TrueFalse
Three researchers are evaluating taste preferences among three leading brands of cola. After participants taste each brand, the first researcher simply checks to see if participants can distinguish them reliably by labeling each cola as "same" or "different" from the others, by giving them the same or different letter or number code. The second researcher asks each participant to identify the most preferred, the second most preferred, and the least preferred. The third researcher asks each participant to rate each of the colas on a 10-point scale, where a rating of 1 indicates “terrible taste” and 10 indicates “excellent taste," with the assumption that the difference betweeen a rating of 4 and 6 is the same as the difference between a 6 and 8. Identify the scale of measurement used by each researcher. nominal; ordinal; interval interval; ordinal; nominal nominal; interval; ordinal ordinal; interval; ratio
Over the last several decades improvements in computer software, hardware and robotics have dramatically altered the ability of machines to do complex repetitive tasks. Discuss the implications for semi-skilled skilled workersas a result of this improvement. Discuss how the cost of the new technology influences the choice of inputs used in production and the rate of adoption of the new technology. Can you please answer this question so there will be no plagiarism, you have answer for this question in your website, but more likely it is already copied by someone else
Children who were breastfed as infants have higher average IQs on average than children who were not. Breastfeeding advocates claim that this is due to the superior nutrition in breastmilk including brain building chemicals such as DHA. You have been hired to investigate this relationship more fully. Your employers are worried about the possibility of omitted variables biasing the results of the study. Name 3 possible omitted variables and explain how they might bias the results. Explain 2 empirical strategies you might use in your investigation.
Suppose that you had data on the amount of pollution in London every year. Write down the regression equation that you would need to estimate to measure the effect of ULEZ on pollution. Describe carefully what the dependent variable, the independent variable, the unit of observation (time or location), and the main coefficient of interest are. What control variables do you think should be included in this regression?
What are the main models for analyzing quasi-experiment data? Please briefly describe the main ideas and differences between these models.