代做Personnel Economics Spring 2024代做Java程序

日期：2024-05-24 05:31

Problem Set on Working from Home

Personnel Economics

Spring 2024

Please read “Does Working from Home Work?  Evidence from a Chinese Experiment” (Quarterly Journal of Economics,  2015) by Nicholas A. Bloom, James Liang, John Roberts, Zhichun Jenny Ying. Make sure you are using the published QJE version of the paper, in replica- tion files and previous version, some tables and figures are labeled differently. Download the data from Nick Bloom’s Stanford website. In WFH.zip, you will find several Stata dta files and a do file called ’Tables2014.do’, which will help you replicate the findings of this paper. The paper can be replicated by running this file, but you will be asked to make adjustments to the analysis.  Do not try to code the regressions from scratch.

The main goal of the assignment is to get you acquainted with personnel data.  Please don’t be discouraged if there is a part of the assignment which is hard or unclear.  Submit the assignment as a single PDF file.  Sections that need to be turned in are in BOLD and should be numbered based on their step. You will need to upload your Stata do file that is clearly commented and organized.

1.  Table 2 Replication (20 points)

(a)  Replicate Columns 1 and 2 from Table 2 (titled The Performance Inpact of WFH). In 1-2 sentences, how are these estimation strategies different?

(b) Create a variable called pre_experiment_mean that is equal to the mean of perform1 before the experiment starts for each person.   This value will be constant for each person. This is a bit tricky, be careful.

Replicate Column 2 from Table 2 again, but this time, control for the pre-treatment mean of each person by adding it into the regression.  Report the point estimate, rounded 3 digits.

(c)  Briefly comment on the difference between these three approaches, how is this related to Footnote 17?

2.  Table 2 Extenstion (10 points)

(a)  Estimate the diff-in-diff estimator (Column 1) across one measures of heterogeneity. For example, estimate the treatment effect for workers who are above or below the median productivity level as in Figure X. Report the point estimate and standard error, rounded 3 digits.  Explain the form. of heterogeneity you are exploring and why it may be interesting.

(b)  Interpret the estimate.  How does the treatment effect vary across your chosen measure of heterogeneity? Do not forget to address both the estimate and its associ- ated standard error.

3. Figure 6 Replication (20 points)

(a)  Replicate Figure VI (titled Performance of Treatment and Control Employees: Phone Calls) It is okay to not provide the on-graph text labels, but be sure to label the axis and give the figure a title and format the figure so it can be easily understood.

(b)  Instead of graphing the treatment and control values, graph the difference be- tween treatment and control over time (the average treatment effect).  Does this effect change over time? Why might it?.  Be sure to format the figure so that it can be easily undestood.