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新人求米!
Modeling unemployment as a flow
. 1point 3acres
Setup. Split the labour force L into employed E and the unemployed U, so L=E+U (assume L fixed). Each period, a fraction s of the employed lose their jobs (the separation rate), and a fraction f of the unemployed find work (the job finding rate).
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q1: Write down the number of workers moving from employment into unemployment each period, and the number flowing the other way, in terms of s, f, E and U.
q2: What condition defines a steady state (constant unemployment)?
q3: Using the steady state condition and L=E+U, derive the steady state unemployment rate u =U/L in terms of s and f alone.
q4: What happens to u if s rises? If f rises? During a recession, which of the two moves more sharply, and what does that imply for how fast unemployment climbs versus how slowly it falls afterwards?
Correlation The left map shades countries by real GDP per capita (index, 0-1; brighter = richer). The right map shades land by total annual rainfall (greener/bluer = wetter, brown/grey =drier). .--
q1: In your own words, what does it mean for two variables to be correlated? What is the difference between positive and negative correlation, and how would you measure the strength of one?
. From 1point 3acres bbs
q2: Looking across the two maps, is rainfall correlated with income? Point to regions that support a relationship and a region that contradict it. Is the pattern strong, weak, or mixed?
- Data description: grey (no data)
- No direct correlation
q3: suppose there is some correlation. Does rainfall cause prosperity? Could climate affect income through some channel - and could the arrow run the other way, or could a third factor be driving both?
- Explain why exactly there are developmental differences between countries
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