Archive for November 2016

“But NH Isn’t Dead”

November 17, 2016

There is a scene from the movie “Monty Python and the Holy Grail” where a wagon stacked with bodies is being pulled through a plague infested medieval village while a crier calls out “bring out your dead.”  The comedy in that grim scene comes when a man tries to load a body slung over his shoulder onto the wagon and against the protests of the still quite alive “dead man” who says such things as “but I’m not dead,” I’m feeling better,” and “I think I will go for a walk.” I am reminded of that movie scene every time I hear proclamations about NH being the 1st or 2nd oldest state in the nation.

An excellent radio program in NH (especially  when I am guest – I wasn’t on this broadcast) recently spent an hour discussing the implications of NH being “the second oldest state in the nation.” The operational definition of “second oldest state” was never given but I assume it is based on the median age of the state’s population.  Using 5 year Census Bureau estimates (2010-14) NH has the third highest median age of any state in the nation (collective gasp here), behind only Maine and Vermont.

median-age

Before administering the sacrament of the anointing of the sick to New Hampshire, however, understand that a state’s median age says relatively little about the age distribution of a population and even less about the demographic and public policy challenges (and their severity) that a state will confront in the future.  Does NH’s high median age really mean our state is worse off demographically than 47 other states?

First, a high median age doesn’t mean NH has a disproportionate number of elderly residents.  It does mean, and has for some time, that NH has a high percentage of residents in the middle of the age distribution and fewer at early ages. As the chart below shows, on the percentage of the population age 65+, NH ranks 15th among all states and below many states with a lower median age.

age-65

Second as I argued here, if you want to understand the strains that an older demographic may place on the fiscal system of a state or a nation you need to look at the “old age dependency ratio,” or the number of older residents in relation to the number of working-age residents because that is a measure of the population that will largely be paying for or supporting the services for the older population.  There will be more elderly in NH and that will increase service needs but the fiscal pressures those needs place on the state is a function of both the number in need of services and the number of working age individuals supporting the services (that is why China’s “one-child” policy that results in  four grandparents, two parents, and one child was always a demographic ponzi scheme).   The old-age dependency ratio is rising in NH but again, on that metric, NH hardly looks  that much worse off than most states as it is firmly in the middle of all states on the ratio of residents age 65+ to working age residents.  In addition, because NH has relatively healthier and more well-off older residents compared to many states, our dependency ratio probably slightly overstates the challenge the old-age dependency ratio presents to the state. With NH’s lowest in the nation birth rates the old-age dependency ratio could rise rapidly depending on migration trends (as has been the case in recent years) and is one more reason to want to make our state broadly appealing to demographic groups.

dependency-ratio

NH does face significant demographic challenges and if overstating their magnitude is necessary for action to address them then I guess I can live with that.  But too often the discussions of the demographic challenges facing NH are laced with agenda driven diagnoses and  prescriptions that make for great headlines but ineffective policies.

Low birth rates (NH now has the lowest in the nation) resulting from high labor force participation and levels of educational attainment among women in NH (a sign of our state’s successes not our failures) along with low mortality rates among an older population that is both healthier and wealthier (on average) than in most states, is a recipe for a higher median age in a state.  That is unless median age can be made more stationary through the in-migration of younger residents, or as NH has traditionally done, in-migration of residents more in the middle of the age distribution along with their children.  That was exactly NH’s recipe for success for decades even as young people have left the state (a decades long trend in NH), at least until net state-to-state migration slowed in NH, just as it has been slowing nationally for some time.   Between 2010 and 2015, the Census Bureau estimates that about 5,500 more NH residents moved out-of-state than residents of other states moved in, with about 6,700 more moving out of Hillsborough County than moved in, while about 4,500 more residents moved into Rockingham and Strafford Counties than moved out during that time.  The graphic below disputes the notion that NH is no longer a place that people want to locate, they are just being more selective in where they choose to locate in the state.  Examining the differences in population growth and demographic changes among individual communities within these counties  further suggests some of the factors that can contribute to in-migration and inform public policies that seek to address NH’s demographic challenges.  Not all communities experienced the growth or decline in migration characteristic of their counties.  Understanding why  is important to the future of our state and its communities.  It is more than just nearby job opportunities or Hillsborough County would not have seen so much out-migration.  I have written about some of the factors in prior blog posts.

county-migration

Many communities are aging more slowly than the state as a whole and their experiences are illustrative of some of the factors and actions that can influence the age structure of a state or a community. Yet policy discussions about demographics at the state level typically overlook positive demographic trends in many communities in the state.  Below is a chart that highlights how the median age has changed over two decades in just a few NH communities.  The chart shows the median age of each community in 1990, and then incrementally adds how much the median age has changed in each of the following two decades.  There was relatively little difference in the median age of each community’s population in 1990, but especially in the 2000 to 2010 decade, the rate of change in median age varied significantly among the communities.  Communities such as Portsmouth, which had a relatively high median age until 2000, slowed its rate of “aging” dramatically in the 2000s, as did Dover and Manchester, albeit for different reasons and with different demographics.

community-median-age

The point is that if some regions and some communities in NH can rage against the dying of the light, others and maybe even the state as a whole, can as well.  So, while many want to heap NH onto a metaphorical “death wagon,” let me say “but NH is not dead, I think we should go for a walk today”.

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“Tomorrow Will Still be Wednesday” – Our Final Presidential Election Model

November 4, 2016

November 8th can’t come soon enough.  When it does, take a deep breath and remember this: “tomorrow will still be Wednesday.”  Whoever manages to win the unpopularity contest that is the 2016 presidential election, the earth will remain on its axis, the sun will  rise again on November 9th, you can still hug your children (if they live away from home they still won’t return your call but they will respond to your texts), and no doubt your dog will love you unconditionally no matter who wins.  You wouldn’t know it from the hyperbole on both sides but on November 9th know this: the republic will remain standing.  That is my mantra at the end of an awful campaign that has cheapened and debased our electoral system in a way that won’t be easily repaired.  You don’t have to like the politics of past presidents to appreciate that, for the most part, they led our country with dignity, honor, and respect, things that are just as important to maintaining our democracy and our position in the world as are any shows of military or economic strength. Nobody gets to be president of the United States without a healthy ego and sharp elbows but today, with an election that shows how easy it is for many to excuse rudeness, sexism, racism, nativism and just about every other “ism” as a justifiable response to political correctness or as a sign of “strength,” I can’t help but think of past presidents who led our nation through difficult times knowing that they could not do so alone and with with a decency and a humility characteristic of genuine strength and leadership.

I definitely picked a bad year to try to make political predictions based primarily on economic conditions and without regard to the particular candidates running.  As a lover of statistics and statistical models I like reading Nate Silver’s FiveThirtyEight blog for its election predictions but when he said:  “Still, you should be wary of economic determinism. “Fundamentals”-based models that don’t look at polls have a fairly bad track record, even in years that aren’t as crazy as this one.” I couldn’t resist the effort to predict presidential election results with a regression model that used primarily economic data and that didn’t require the complexity and volume of polling data that FiveThirtyEight uses. In fairness, Mr. Silver did also say “I do not mean to suggest that the economy does not matter to elections, or that there is no predictive content in looking at economic variables. As this experiment should show you, the economy assuredly does not account for 90 percent of voting results. But it may well account for half of them.” I would argue more than half.   I won’t say, but I have heard others say, that Mr. Silver would have better luck with “economic determinism” if his model used individual state-level economic data and conditions rather than national data  because economic conditions vary greatly across states (note here that I am doing my best Donald Trump imitation by saying something without taking responsibility for it).   I also won’t say Mr. Silver would have better luck using economic variables that aren’t endogenously determined (i.e. some of the explanatory economic variables he uses are almost completely determined by other economic variables in the model).  That is a pretty big no-no for a stats maven to make but only if he knows something about economics.

I first posted in April and updated in July, a presidential election prediction model.  I failed to note in prior posts that I consider only the two candidates from the major political parties in the model so the winner of each state is the one that gets more than 50 percent of a state’s vote and the predicted vote percentages will not be similar to actual results that include third party candidates.  In July I also promised to post one more iteration of the election model after the latest state-level personal income data was released prior to the election because personal income growth trends are so important to the model’s predictions.

In the November election model the Democratic candidate still has a large advantage in the electoral college but as the chart below shows, there are more states currently predicted as Democratic victories that could switch to a Republican victory than vice versa.  In the unlikely event that all predicted narrow Democratic victories changed to Republican victories and all narrow Republican victories remained Republican wins, then the Republican candidate would be awarded 294 electoral votes and win the presidency.  On the other hand, in the unlikely event that all predicted narrow victories for the Republican candidate changed to Democratic victories and all predicted Democratic victories remained Democratic wins, the electoral college vote total tally would be 384 to 154 in favor of the Democratic candidate.  These are the extremes of potential outcomes but while the July model suggested an almost impossible path to electoral college victory for the Republican candidate, the November model shows an improbable but not impossible path.

november-map

To the Victor Goes the ?

President Obama’s reward for winning the presidency was inheriting an economy in a severe recession but at least one where the most controversial policies adopted to combat it were already largely in place.  The next president will begin seeking reelection fully 10 years since the end of the “great recession” making it the longest period of economic expansion in U.S. history and suggesting the possibility that U.S. will once again be in, near, or ending a recession. I believe Mrs. Clinton will win the White House and a recession in her first term and voter fatigue after three terms of a Democratic presidency will give the 2020 election to the Republican Party.  Of course that assumes a disarming of the circular firing squad that is the current Republican Party and if there is one thing the Republican Party probably doesn’t want to do it is disarm. Republicans may be able to capture the White House in 2020 with a better salesman at the top of the ticket but demographic trends suggest it will need more.  To me, the most interesting aspect of the 2016 election is that it hints at a future realignment of political parties, with the Republican party becoming the party of the working class and the Democratic party becoming the free trading, immigration supporting, party favored by business.


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