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ECN21001: Public Economics

Applied Portfolio

You have 6 (double-spaced) pages for the following 3 tasks. The recommended      length shown within each task indicates the suggested weighting. On task 3 you are expected to present YOUR OWN empirical evidence in the form of summary            statistics, charts, graphs and regression results.

The 1-page summary for non-specialists should focus entirely on task 3.         The submission deadline for all components of the Applied Portfolio will be Monday 15 May by 12.00 noon. All submissions must be uploaded to theL2 Applied           Portfolio Blackboard organisationpage.

Applied Portfolio Task 1: Theory

Suppose two individuals, Jon and David, form a community and would like to             construct a communal fort that would protect them from attacks. They both consume good X, a private good, and the protection of the fort, P. One unit of good X costs 1  unit of currency, and one unit of P costs 2 units of currency. Both Jon and David

have an income of 100 and a utility function of the form:

U = log(Xi ) + log(PJ  + PD )

The budget constraint for each individual is given by:

Xi  + 2Pi  = 100

a)  Find the amount of protection Jon will provide as a function of how much David provides and explain why the relationship is the way it is.

b)  How much protection P will be privately provided in this case?

c)  Explain the economic intuition behind this amount and compare it to the socially optimal amount without solving for the socially optimal amount.

Recommended length: half a page to one page

Applied Portfolio Task 2: Interpretation of empirical evidence

Read Doyle and Samphantharak (2008). Briefly describe what the aim of the paper is. Now consider Table 2 (Panel A) replicated below from Doyle and Samphantharak (2008). Looking at the estimates in column (1), discuss briefly what the main            coefficient of interest (shown in bold) means, specifying what is the dependent          variable in that model and what is the relevant explanatory variable of interest. What econometric model are the authors using to obtain this estimate? Assuming that a    full shifting of tax changes from producers to consumers would lead to a 4.5% drop   in gas prices following the gas tax repeal in Illinois and Indiana, what does the           coefficient of interest in column (1) imply about the pass-through rate?

Doyle Jr, J., & Samphantharak, K. (2008) $2.00 Gas! Studying the effects of a gas tax Moratorium. Journal of Public Economics, 92(3-4): pp. 869-844.

Table 2. Regression results

Dependent variable:

Log(retail price)

Log(wholesale price)

(1)

(2)

(3)

(4)

A: July tax repeal

Illinois or Indiana

 0.048

 0.013

 0.014

 0.035

(0.038)

(0.025)

(0.021)

(0.017)

Post July 1

 0.052

0.029

0.025

 0.088

(0.007)

(0.013)

(0.015)

(0.006)

(IL or IN) * Post July 1

 0.035

 0.029

 0.029

 0.007

(0.007)

(0.008)

(0.008)

(0.006)

Observations

29675

29675

29433

29433

R-Squared

0.23

0.60

0.64

0.57

Mean of Dep. Var.

0.560

0.560

0.560

0.560

Recommended length: one page

Applied Portfolio Task 3: Statistical/econometric analysis

Write a report that examines the relationship between income inequality and fiscal    redistribution. Use fiscal data fromOECD.Stat(National Accounts>Annual National  Accounts>General Government Accounts>Government expenditure by function        (COFOG)) and inequality estimates fromSWIID(file: x_swiid9_2.zip >                        swiid9_2_summary) to produce your own empirical evidence in the form of summary statistics and graphs/charts. Discuss all your tables and graphs. What information     can you extract from them? Combine the two datasets to run regression analysis in  order to estimate the association between fiscal redistribution and income inequality. Explain your estimation results.

In addition to presenting your own empirical evidence, discuss what previous           economic literature has found about the relationship between income inequality and fiscal redistribution. Make sure to provide full citations, including authors’ names;     titles of articles etc. Please follow Harvard Referencing Guide:

https://www.librarydevelopment.group.shef.ac.uk/referencing/harvard.html