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lectures/business_cycle.md

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## Overview
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In this lecture, we review some empirical aspects of business cycles.
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In this lecture we review some empirical aspects of business cycles.
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Business cycles are fluctuations in economic activity over time.
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(gdp_growth)=
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## GDP growth rate
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First, we look at GDP growth.
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First we look at GDP growth.
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Let's source our data from the World Bank and clean it.
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Greece experienced a very large drop in GDP growth around 2010-2011, during the peak
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of the Greek debt crisis.
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Next, let's consider Argentina.
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Next let's consider Argentina.
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```{code-cell} ipython3
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---
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fig, ax = plt.subplots()
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countries = ['United Kingdom', 'United States', 'Japan', 'France']
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ylabel = 'Unemployment rate (national estimate) (%)'
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ylabel = 'unemployment rate (national estimate) (%)'
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plot_comparison(unempl_rate, countries,
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ylabel, 0.05, None, ax, g_params,
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b_params, t_params, baseline=None)

lectures/inequality.md

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To bring a truly scientific perspective to the topic of inequality we must
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start with careful definitions.
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In this lecture, we discuss standard measures of inequality used in economic research.
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In this lecture we discuss standard measures of inequality used in economic research.
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For each of these measures, we will look at both simulated and real data.
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One popular measure of inequality is the Lorenz curve.
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In this section, we define the Lorenz curve and examine its properties.
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In this section we define the Lorenz curve and examine its properties.
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### Definition
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The Gini coefficient is just a number, rather than a curve.
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In this section, we discuss the Gini coefficient and its relationship to the
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In this section we discuss the Gini coefficient and its relationship to the
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Lorenz curve.
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To create the five populations, we vary $\sigma$ over a grid of length $5$
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between $0.2$ and $4$.
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In each case, we set $\mu = - \sigma^2 / 2$.
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In each case we set $\mu = - \sigma^2 / 2$.
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This implies that the mean of the distribution does not change with $\sigma$.
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