There are many ways to answer this. First, is to look at whether the index (or average of index) is above the full sample average (the unconditional mean), second, relative to other presidential terms (conditional), third, relative to presidential terms and exogenous events, or fourth relative to a more recent period, controlling for exogenous events.

The simplest is to compare the observation for March 2018 to the sample average. A time series of EPU is useful.

**Figure 1:** Monthly Economic Policy Uncertainty 1985M01-2018M03, news based (blue), unconditional mean (red), and unconditional median (teal). Orange shading denotes Trump administration. Source: http://www.policyuncertainty.com.

**Figure 2:** Histogram of Monthly Economic Policy Uncertainty 1985M01-2018M03, news based (blue bars), and March 2018 value (red arrow). Source: http://www.policyuncertainty.com.

The March 2018 observation is over one standard deviation away from both the mean and median, so that observation is not particularly likely to be observed in this distribution. The histogram indicates that the series is non-Normally distributed, so more careful analysis is in order.

One might want to know if the *average value* is higher during the Trump period as opposed to other presidential administrations. One could run an OLS regression of EPU on dummies for presidential terms. OLS is BLUE if the errors are Normal. However, if they are not, then alternative methods come to mind.

One alternative estimation method that might be better is robust regression (Huber) which downweights outliers (suggested by the highly non-Normal distribution displayed in Figure 2). This approach essentially predicts conditional medians. Now, I include dummies for presidents. Since Reagan is omitted, the constant pertains to the conditional mean for the Reagan administrations.

(1) *EPU* = **102.27** + 3.09*GHWBUSH* **-15.08***CLINTON* -6.81*GWBUSH* + **22.42***OBAMA* + **37.37***TRUMP*

Adj.-R^{2} = 0.14, SER = 37.17, N=399. **bold** denotes significance at the 10% MSL.

The interpretation of the coefficients is as follows: median EPU during Reagan (from 1985M01-88M12) is 102.27, during GHW Bush is 105.37, during Clinton is 95.46, during Obama is 124.69, and during Trump is 139.64. The standard error on TRUMP is 8.98, which means that uncertainty is definitely higher than during the Reagan period. The fitted values are shown in Figure 3.

**Figure 3:** Monthly Economic Policy Uncertainty 1985M01-2018M03, news based (blue), fitted values (red). Orange shading denotes Trump administration. Source: http://www.policyuncertainty.com.

Is uncertainty higher than during the Obama period? An F-test for equality of the OBAMA and TRUMP dummies rejects at the 7.7% significance level. So, the answer is yes.

Finally, one can estimate a relationship conditional on presidents *and* exogenous events like 9/11. That regression answers the question of whether uncertainty during Trump is higher than what is to be expected conditional on various factors. The robust regression results are:

(2) *EPU* = **99.86** + **7.55***ELEC_TRANS* – 5.22*GHWBUSH* **-16.14***CLINTON* **-15.38***GWBUSH* + **15.69***OBAMA* + **32.83***TRUMP* – 0.08*DIVIDEDGOV* + +**32.96***PERSIANGULFWAR* + **136.27***9/11* + **79.77***IRAQINV* + **26.15***LEHMAN* + **76.20***BREXIT* + **18.41***RECESSION*

Adj.-R^{2} = 0.26, SER = 32.00, N=399. **bold** denotes significance at the 10% MSL. The fitted values are shown below.

**Figure 4:** Monthly Economic Policy Uncertainty 1985M01-2018M03, news based (blue), fitted values (red). Orange shading denotes Trump administration. Source: http://www.policyuncertainty.com.

Now, as compared to OLS, it’s a little harder to interpret the results from robust regressions (as they pertain in this case to changes in conditional medians rather than means). Instead of running robust regression, one could log the dependent variable, and re-estimate using OLS, and see if the residuals are more Normal. The corresponding results are:

(3) *LOG(EPU)* = **4.548** + **0.089***ELEC_TRANS* – 0.058*GHWBUSH* **-0.158***CLINTON* – 0.132*GWBUSH* + **0.192***OBAMA* + **0.308***TRUMP* – 0.043*DIVIDEDGOV* + **0.290***PERSIANGULFWAR* + **0.714***9/11* + **0.667***IRAQINV* + 0.224*LEHMAN* + **0.406***BREXIT* + **0.160***RECESSION*

Adj.-R^{2} = 0.38, SER = 0.263, N=399, DW=0.90 **bold** denotes significance at the 10% MSL using HAC robust standard errors.

The interpretation of this regression is that uncertainty is 31% higher during Trump than Reagan, controlling for exogenous factors and recession. Given the log-linear specification, we can say that uncertainty under Trump is 12% higher (in log terms) than under Obama, after controlling for divided government, Brexit and recession, as well as the election. The fit is shown below, as is a histogram of the residuals.

**Figure 5:** Log of Monthly Economic Policy Uncertainty 1985M01-2018M03, news based (blue), fitted values (red). Orange shading denotes Trump administration. Source: http://www.policyuncertainty.com.

**Figure 6:** Histogram of residuals from regression equation (3) (blue bars). Source: http://www.policyuncertainty.com.

Note that one can’t reject the null hypothesis of Normality of residuals at the 5% MSL.

Ed Hanson has asserted that uncertainty under Trump is no higher than it was in 7 of the last 9 years, and focuses in particular 2008-13. If I select that period, it’s true uncertainty doesn’t look particularly high. But on can arbitrarily select particular periods to compare against in order to not find a difference. In order to guard against that arbitrariness, I compare against the last decade. To do that, I estimate the preceding equation, constraining all presidential dummies to be zero except for TRUMP, and defining a dummy variable LASTDECADE which takes on a value of 1 from 2008M04-2018M03 This leads to the following OLS regression results.

(3) *LOG(EPU)* = **4.427** + **0.088***ELEC_TRANS* **0.142***TRUMP* – 0.069*DIVIDEDGOV* + **0.449***PERSIANGULFWAR* + **0.800***9/11* + **0.642***IRAQINV* + 0.224*LEHMAN* + **0.407***BREXIT* + **0.039***RECESSION* + **0.288***LASTDECADE*

Adj.-R^{2} = 0.36, SER = 0.268, N=399, DW=0.90 **bold** denotes significance at the 10% MSL using HAC robust standard errors.

These results indicate that compared to the last decade, after conditioning, average uncertainty under Trump has been 14.2% higher. The fitted values are shown in Figure 7.

**Figure 7:** Log of Monthly Economic Policy Uncertainty 1985M01-2018M03, news based (blue), fitted values (red). Orange shading denotes Trump administration. Source: http://www.policyuncertainty.com.

Since the TRUMP coefficient is 0.142, this means that the Trump period has been characterized by 14.2% higher uncertainty than over the past decade. So for me, economic policy uncertainty *is* elevated during the Trump administration, as compared to earlier periods, conditioning on elections, recessions, and exogenous events.

Data here (except for LASTDECADE variable).