• In a Macro Musing we published last week, we estimated that an unseasonably mild winter had been responsible for boosting the level of payroll employment in February by 72 thousand.[1]
    • We also noted that if weather conditions returned to normal in March, most of this boost would go away, and payroll gains would be reduced by an estimated 58 thousand.
    • Many of our clients have noted that March weather has not been normal; indeed, it's been warmer than normal. This suggests that weather-related drag on March payroll gains could be smaller than 58 thousand.
    • In the table below, we report the estimated drag on the change in payroll employment in March under alternative assumptions for the weather terms that appear in our equation that estimates the effects of weather on employment.[2]
    • The upper-left cell is the case covering normal weather, which shows a drag of 58 thousand in March.
    • The lower-right cell corresponds to a case where weather conditions in March are roughly as unusually warm and non-disruptive as was the case averaged over January and February. In this case, the drag on payroll gains in March is only 4 thousand, leaving the level of payroll employment still boosted by 68 thousand. If weather conditions return to normal in April, a majority of this boost will be unwound then.
    • We won't have an estimate of the contribution to the change in March payroll employment from unusual weather until the release of the March Employment Situation Report (at the earliest). The figures in this table, though, likely represent a reasonable range of outcomes, with figures to the right and bottom more likely than figures to the left and top.


    [1] “Mild Winter Weather and Payroll Employment,” Macroeconomic Advisers’ Macro Musing: 5(1), March 21, 2012.
    [2] Please see our March 21, 2012 Musing for an explanation of these weather terms.


    This is from a commentary that was published on March 29, 2012.

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  1. Contact Macroeconomic Advisers
  2. Testimony on

    “Monetary Policy Going Forward: Why a Sound Dollar Boosts Growth and Employment”

    Before the Joint Economic Committee March 27, 2012 


    Chairman Casey, Vice Chairman Brady, other members of the Committee, thank you for giving me the opportunity to comment on the proposed legislation. Several provisions are attempts to prevent the FOMC from responding to divergences from full employment, as in the Great Recession, and restrict the FOMC from carrying out stimulative policy once the federal funds rate is near zero, as it is today.

    Let me start with preliminaries. Can the Fed effectively carry out stabilization policy? Are estimates of the minimum sustainable unemployment rate so uncertain that monetary policy is as likely to damage economic performance as it is to improve it? Does a dual mandate undermine the ability of a central bank to meet its price stability mandate?

    The CBO, the IMF, the Board staff, most FOMC members, generations of CEAs, and Macroeconomic Advisers all believe the FOMC can effectively promote full employment. While there is some evidence that central banks with an explicit inflation target do a better job anchoring long-term inflation expectations, the difference relative to the U.S. is very small, the evidence is mixed, and, in any case, the FOMC now has an explicit inflation objective. But the proof is in the pudding! Under Chairmen Volcker, Greenspan, and Bernanke, the FOMC effectively pushed long-run inflation expectations down from an unacceptable level in the 1970s and early 1980s to about 2%, and there has been no backtracking.

    In any case, the policy of keeping the funds rate near zero for an extended period and the dramatic expansion of the Fed’s portfolio do not risk soaring inflation, as long, of course, as the FOMC exits in time. The Fed has all the tools needed to drain reserves and shrink the portfolio when appropriate. In any case, as long as it has control of interest rates, it can control inflation. This conclusion is consistent with the inflation projections of the CBO, the OMB, the IMF,  FOMC participants, the Survey of Professional Forecasters, and Macroeconomic Advisers. None projects inflation above 2% over the next several years.

    Now let’s turn to specific provisions. First, should the Congress change the FOMC’s mandate from a dual to a single mandate? The answer is that it depends! If the bill is intended to move the Fed to flexible inflation targeting, a regime practiced by virtually every other central bank in the world, this is a discussion worth having, though I still prefer the existing dual mandate.

    Under the dual mandate, the two mandates are, conceptually, on an “equal footing.” Flexible inflation targeting central banks also seek to achieve full employment and price stability, but, in my view, operate as if they have a hierarchical ordering of the two objectives: inflation is the primary objective, full employment secondary. However, the empirical evidence shows that dual mandate and flexible inflation targeting central banks operate in essentially the same way.

    But this provision reads like the goal is to move the FOMC to hard inflation targeting, a regime practiced by no central bank today. I strongly oppose this. Under such a regime, the central bank may only pursue price stability, and, therefore, must pay no attention to divergences from full employment, even in a case like the Great Recession. Perhaps Governor Mervyn King of the Bank of England sums it up best when he calls supporters of such a framework “inflation nutters!”

    Should all presidents of Reserve Banks be voting members, that is, on the FOMC? The motivation of supporters, I suspect, is that, currently, there are more hawks among presidents than among Board members, so giving votes to all the presidents would perhaps prevent further quantitative easing.

    I find it very surprising that some members of Congress, as a general principle, would want to decrease the power of Board members who have been nominated by a democratically elected president and confirmed by democratically elected members of the Senate, and make Reserve Bank presidents, appointed by unelected and unrepresentative boards, a majority on the FOMC. Supporters apparently also believe that there is not enough regional influence on the FOMC’s national policy decisions and that bankers do not have enough influence on monetary policy.

    While there is much ambiguity in the proposed legislation, any proposal restricting the Fed to holding only short-term government securities in its portfolio would remove the FOMC’s ability to pursue quantitative easing. This would prevent the FOMC from providing additional stimulus when the funds rate is at a near-zero level and, indeed, promoting price stability in such circumstances. This is a restriction that, at least to my knowledge, no other central bank faces. Indeed, most central banks have greater flexibility in their asset purchases than the FOMC does today.

    Now for an editorial: I regret that the Fed has become so politicized. Some of the provisions of this bill appear to me clearly partisan. Congress should respect the following admonition: Changes in the Federal Reserve Act should only be seriously considered if there is wide bipartisan support.

    Thank you. I would be pleased to take your questions.



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    • Nonfarm payroll employment enjoyed unexpected strength in December, January, and February, when payroll gains exceeded Bloomberg consensus expectations by an average of 56 thousand per month.
    • Some have wondered whether a portion of the unexpected strength in payroll employment can be attributed to the mild winter, which was unusual both in terms of temperature and precipitation.
    • If this were the case, when weather returns to normal, payroll employment may take a hit.
    • We estimate that the level of payroll employment in February was boosted by 72 thousand due to an unseasonably mild winter.
    • Given the estimated dynamics of weather effects, payroll gains in March could be reduced by 58 thousand, were weather conditions in March to return to normal, with the balance of the unwinding of weather effects to occur in April.
    An Unusually Warm Winter
    This winter has been unusually warm. To illustrate, we created an indicator of unusual temperatures as follows. We began with data on heating degree days (HDD) and cooling degree days (CDD) from the National Oceanic and Atmospheric Administration. As temperatures rise, CDD rise (air conditioners turn on) and HDD fall (furnaces turn off). This suggests that CDD minus HDD moves closely with national average temperatures.[1] Therefore, we took CDD less HDD, seasonally adjusted it, subtracted out a linear trend, and expressed the result in terms of standard deviations.[2] These data appear in Chart 1.

    From December 2011 through February 2012, our measure of unusual temperatures was, on average, 1.9 standard deviations above the recent norm. Over the sample plotted, there was only one other three-month period which exhibited a higher average. Unusually high winter temperatures can boost activity in industries (like construction) that normally slow in winter months. This measure of unusual temperatures is the first of two measures that we use to estimate the effects of unusual weather on employment.[3]



    An Unusually Non-Disruptive Winter
    In a series of Musings in the winter of 2010, we outlined our approach to estimating the effects of unusually disruptive winter weather on employment.[4] In those Musings, we were interested in the extent to which the blizzards of 2010 reduced payroll employment in February 2010. We made use of a time series from the Bureau of Labor Statistics' Household Survey, which measures the number of persons who report they are employed, but unable to get to work due to bad weather. Chart 2 shows this series expressed as a percent of civilian employment, seasonally adjusted, and de-meaned. This measure surged in February 2010, as it did during previous episodes of unusually disruptive winter weather.

    This winter, it's different. The winter has been mild, and fewer people have reported they cannot get to work due to bad weather than is normally the case. In January, for example, 206 thousand made this claim, versus an historical median of 296 thousand, and in February, the figure was 178 thousand (versus a median of 260 thousand).[5] Our seasonally adjusted transformation of these data (in Chart 2) shows a sharp decline in recent months, implying fewer weather-related work disruptions than normal and a boost to employment. This measure of disruptive weather events is the second of the two measures that we use below to estimate the effects of unusual weather on employment.



    Updated Regression Analysis
    For this Musing, we started with the regression model of the weather effects on employment from our February 26, 2010 Musing and made a few adjustments, which we discuss in the Appendix. We made no change to the term that captures the effect of disruptive weather on employment, which is described in our February 26, 2010 Musing and shown in Chart 2, and we added the measure of unusual temperatures shown in Chart 1.

    The Estimated Boost to Payroll Employment
    To calculate the boost to employment implied by the mild winter weather, we used the model to estimate the contribution to the change in employment implied by our weather terms. We then accumulated these contributions over history and adjusted the entire series so that its sample average would equal zero. Chart 3 shows the results. According to this model, the change in employment was boosted by 29 thousand in December, by 35 thousand in January, and by 1 thousand in February, for a cumulative boost over these three months of 65 thousand. Adding these to a 7 thousand boost to the level of employment in November from accumulated past contributions, the level of employment in February was boosted by 72 thousand due to unseasonably mild weather. Based on the structure of the model, even if March weather proves normal, we wouldn't expect this entire boost to unwind in March; we would expect a subtraction of 58 thousand then, with the balance of the unwinding expected to occur in April.[6]

    To summarize, we estimate that unseasonably mild weather this winter has had a measurable effect on employment, with the level of employment in February 72 thousand above the level consistent with no deviation in weather from seasonal norms. Our model suggests that in the event weather in March returns to seasonal norms, the change in payroll employment will be reduced by 58 thousand. Furthermore, a continuation of seasonally normal weather into April would result in a further drag on the change in employment then of about 14 thousand. The result for March provides an estimate of the significant adjustment one should make to the headline employment number in March to more accurately judge the underlying strength of employment.



    Appendix: The Model of Weather Effects on Employment Change
    Relative to the regression model from our February 26, 2010 Musing, we make a few adjustments. The new model expresses the percent change in nonfarm payroll employment as a function of the original weather disturbance term, a new warm-weather term (described in the main body of the text), and three other disturbance terms. The first additional disturbance term is the level of initial claims (in thousands) from the week prior to the week that includes the 12th of the month, multiplied by 100, and scaled by the lagged level of nonfarm payroll employment. The latter two transformations ensure that the underlying relationship is between the change in employment and the level of initial claims. The second additional disturbance term is the change in payroll employment in thousands accounted for by the initiation and resolution of labor strikes, as reported in the BLS's CES Strike Report. This term, too, is multiplied by 100 and divided by the lagged level of employment. The third additional disturbance term is the change in Decennial Census employment, in thousands, also multiplied by 100 and divided by lagged employment. Including these additional terms in the model helps to better estimate the marginal effect of weather on employment.

    The error term is now modeled as an ARMA(1,1). This is different from the AR(3) representation in our February 26, 2010 Musing. The new representation was chosen mainly because it is more parsimonious. In any event, the choice of ARMA(1,1) versus AR(3) has virtually no impact on the estimate of the weather effect. That the coefficient on the AR term in the new specification was close to unity raised concerns about stationarity, but re-estimating the model in first-difference form had virtually no impact on the estimated coefficients, so we stuck with the "level" representation.

    After making these adjustments and adding two additional years of sample to the regression, the dummy variable for August 1983 and the interaction term between the bad-weather variable and the January 1996 dummy, both included in the February 26, 2010 model, lost statistical significance, so we dropped them. The regression output appears in Table A1.



    [1] We chose to use these data rather than national average temperatures from the National Climate Data Center because the former are population weighted and, hence, better suited for economic analysis than the latter, which are area weighted.
    [2] After seasonal adjustment, CDD less HDD exhibits a statistically significant rising linear trend.
    [3] This winter has also been unusually dry. However, we have not been able to identify a statistically significant role for unusual levels of precipitation in employment, outside of the effects of disruptive weather events, like blizzards, which we discuss later in this Musing.
    [4] "The Blizzard of 2010 and the February Jobs Report," Macroeconomic Advisers' Macro Musing: 3(4), February 16, 2010. "The Blizzard(s) of 2010 and the February Jobs Report: An Update," Macroeconomic Advisers' Macro Musing: 3(7), February 26, 2010. The Blizzard(s) of 2010 and February Jobs Report: The Data Speak," Macroeconomic Advisers' Macro Musing, 3(9), March 5, 2010.
    [5] The December figure of 127 thousand was in line with the historical norm.
    [6] The warm weather variable appears both contemporaneously and with a lag. Therefore, March employment will still benefit from unseasonably high temperatures in February.


    This is from a commentary that was published on March 21, 2012.

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  3. Like the FOMC, we see greater-than-usual macro uncertainty and a distribution of risks around the outlook that is tilted to the downside. As a result, there is a strong case for looking at and attaching probabilities to QE3 scenarios in which the economy doesn't behave as we expect.

    This is from a commentary that was published on March 15, 2012.

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  4. Monthly GDP rose 0.2% in January. This was fully accounted for by an increase in nonfarm inventory investment, as domestic final sales, net exports, and the portion of monthly GDP not covered by the monthly source data made small and offsetting contributions. The level of monthly GDP in January was 0.7% above the fourth-quarter average at an annual rate. Our latest tracking forecast of 2.1% GDP growth in the first quarter includes increases in February and March that average 0.3% per month.

    This is from a commentary that was published on March 14, 2012.






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  5. Contact Macroeconomic Advisers
  6. We have received a number of questions from clients on "sterilized" QE. We summarize our answers here.

    This is from a commentary that was published on March 7, 2012.

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  7. Former Fed Research Director David Stockton Joins Macroeconomic Advisers
    MA Adds Another Highly Respected Former Fed Official to its Team
    Macroeconomic Advisers LLC (MA) is pleased to announce that David Stockton, former Director of the Division of Research and Statistics at the Federal Reserve Board, has joined MA as a Senior Adviser. He will be working out of MA’s Washington, DC office.

    As the Board’s Chief Economist, David led the team that prepared the Board staff’s forecast before each FOMC meeting, helped design the alternative scenarios presented to the Committee, advised the Chairman, and made the presentations on the staff outlook to the Board and to the FOMC.
    “As a former Fed Governor, I have first-hand knowledge of the enormous contribution David made at the Board.  David commanded the respect and admiration of Alan Greenspan and Ben Bernanke, as well as generations of Board and FOMC members. There is no one, and I mean no one, who could make a greater contribution to our forecasting efforts and analysis of monetary policy than David Stockton,” said MA’s Larry Meyer. 
    David Stockton said, “I am delighted to be joining the team at Macroeconomic Advisers. MA provides some of the most insightful  analysis of the U.S. macroeconomic outlook and policy environment available anywhere.  I look forward to contributing my experience and knowledge to their collective efforts, and I anticipate with pleasure participating in the lively intellectual environment at MA with such accomplished and stimulating colleagues.”
    At MA, David will contribute to the monthly forecast rounds, help design alternative scenarios, and participate in all issues surrounding monetary policy prospects. He will also be a regular participant at MA conferences. Drawing on his experience at the Board, David will enhance MA’s status as the most respected forecaster of the U.S. economy and the most insightful and knowledgeable experts on monetary policy. 
    David Stockton
    David Stockton is the former Director of the Division of Research and Statistics at the Board of Governors of the Federal Reserve System. The 325 members of the Division of Research and Statistics carry out a wide range of economic analysis, forecasting, and research activities related to the domestic economy and financial markets. In his position as chief economist, Mr. Stockton oversaw the preparation of macroeconomic and financial market analyses and forecasts for the Board of Governors and the Federal Open Market Committee (FOMC) to assist them in decisions related to monetary policy. The Division also maintains a number of statistical programs used within and outside the Federal Reserve System, including the Industrial Production and Flow of Funds programs. In addition, the Division engages in research and policy analysis in support of the Federal Reserve’s financial stability responsibilities and supervisory and regulatory activities. The Division also provides statistical, administrative, computer, and library services to staff in the Division and to others at the Board.
    Prior to joining the Board staff in 1981, Mr. Stockton was an instructor and lecturer at Yale University in New Haven, Connecticut and at Trinity College in Hartford, Connecticut. He began his career at the Board as an Economist in the Wages, Prices, and Productivity Section of the Division of Research and Statistics with responsibility for the forecasting and analysis of inflation. He later was a senior economist in the Economic Activity Section, where he coordinated the staff economic forecast for the FOMC.
    Appointed an officer of the Board in 1987, he held the position of Assistant Director and Chief of the Economic Activity Section. He held various positions within the Division before being appointed the Director in 2000. Mr. Stockton also held the position of Economist for the Federal Open Market Committee and regularly briefed the Committee on the economic and financial outlook for the U.S. economy. Mr. Stockton represented the Federal Reserve at many international meetings.
    Mr. Stockton served on the Board of Directors of the Securities Investor Protection Corporation (SIPC) from 2000 to 2011. He served as chairman of the Audit and Budget Committee of the corporation.  SIPC is a private nonprofit corporation chartered by the federal government to protect investors in the event that a brokerage firm is closed due to bankruptcy or other financial difficulties.
    Mr. Stockton has published numerous papers in the areas of macroeconomics and labor markets. In addition, he makes frequent presentations to various professional organizations, including the American Economic Association, the Econometric Society, the National Bureau of Economic Research, many foreign central banks, private financial institutions, and the general public. Mr. Stockton has also been a visiting researcher at Georgetown University. Mr. Stockton received his B.A. and M.A. (1976) from the University of Connecticut and his M.Phil. (1978) and Ph.D. (1983) from Yale University. He resides in Springfield, Virginia with his wife.
    About Macroeconomic Advisers, LLC
    Macroeconomic Advisers is an independent research firm focused on the US economic outlook, monetary policy, and fixed income markets. Founded by former Federal Reserve Board Governor Laurence Meyer and two colleagues 30 years ago, MA has an unmatched reputation for analytical rigor, independent and unbiased analysis, and obsessive attention to clients. Our model-based approach enforces consistency and discipline upon our forecasts, which we combine with the intuition and experience that come from decades as the most respected private sector forecast team. MA clients range from financial market participants to policy makers to executives at non-financial corporations. 



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