That’s the title of an informal panel at the UW La Follette School of Public Affairs on Tuesday. Here are the slides that underpin my presentation.
For now, let the following figure summarize the choices.
Source: “Trump vs Clinton: Polarization & uncertainty,” Research Briefing (Oxford Economics, 19 Sept. 2016) [not online].
The other panelists are Pam Herd, Greg Nemet, Rourke O’Brien, and Tim Smeeding.
Today, we present a guest post written by Jeffrey Frankel, Harpel Professor at Harvard’s Kennedy School of Government, and formerly a member of the White House Council of Economic Advisers. A shorter version appeared on October 25th in Project Syndicate.
The 2016Q3 GDP advance figures were released today, indicating a 2.9% growth rate (SAAR), exceeding consensus (Bloomberg 2.5%). Tomorrow, Jim will report on the recession probabilities based upon the advance release (see last quarter’s analysis here). Until then, given all the discussion of recession (e.g. [0], [1]), it seems useful to show a few pictures of where we stand today, and the outlook going forward, given some standard and non-standard indicators.
In case you were wondering, Minnesota continues to outpace Wisconsin.
The Philadelphia Fed released coincident indices today. Figure 1 shows state-by-state 3 month trends. Needless to say, the outlook for Kansas — that laboratory for supply side nostrums — is not auspicious.
Source: Philadelphia Fed, accessed 26 Oct 2016.
While Alaska seems to be in the running for worst performing, in fact the 3 month (annualized) decline of 4.5% for Kansas is the worst in the 50 states.
That’s the title of a newly released book written by Eswar Prasad, an authority on the Chinese economy (and international finance).
Brad DeLong reminds me of how badly Kansas is doing, when viewed from a longer perspective.
September employment figures confirm that the Kansas economy continues its decline, while Missouri continues to expand.
Minnesota, US series continue to rise.
I was talking about prediction markets and asset prices (the Mexican peso and the Presidential election, and the pound and Brexit) in my classes this week. It struck me a good time to update this post on the peso’s movements as the odds for a Democratic win change.
Figure 1: USD/MXN exchange rate (blue), and odds of Democratic win in Presidential election, end of day (red). Observation for 10/20/2016 is as of 2:30PM Eastern time. Exchange rate defined so up is MXN appreciation. Source: FRED, Pacific Exchange Services, and Iowa Election Markets.
The adjusted R2 of a bivariate regression of first differences regression (exchange rate in logs) is 0.08, pretty good on a high frequency time series, in my book (t-stat with HAC robust errors is 2.06).