Notes Chapter 6-8 Point of the class Math Systems of equations Regressions and scatterplots Levels versus rates of change Model building Using data to build models, in addition to logic Combining the results into more complete models Economic concepts and intuition Wage determination through collective bargaining Cost-plus-markup pricing: role of labor and non-labor costs Phillips Curve, Expectations-augmented Phillips Curve Stagflation, Disinflation Okun’s Law Aggregate Supply- curve Definitions Collective bargaining Production function Wage-setting relation (Wage Curve) Phillips Curve Okun’s Law Homework Problems On webpage Bargaining power Labor productivity Price-Setting relation (Price Curve) Expectationsaugmented Phillips Curve Normal Growth Rate Unemployment insurance Markup Natural rate of unemployment Non-accelerating-inflation rate of unemployment Disinflation Facts When unemployment is high, wage pressures abate When unemployment falls, wage pressures rise. Much of wage bargaining is done collectively. The more specialized a type of worker or the more unique a worker, the more bargaining power he has. Model Building Building Blocks Wage Determination The theory of Efficiency Wages: Real Wages may or may not clear the Labor Market. Firms may want to pay more than the market-clearing wage to ensure that the workers are of better quality and more loyal. This generates unemployment … but unemployment can be a disciplining device: gets people to take lower wages, u. is the sensitivity of workers to the level of unemployment. Workers care about the Real wage that they will get in the future, so they form an expectation of future prices and ask for wages accordingly. There are also other factors that affect the desired real wage, which we will denote by Z, such as the existence and generosity of unemployment insurance, or the degree of labor union militancy. 𝑊 = 𝑃𝑒 𝐹 (𝑢 ⏟,𝑍 ⏟) − + Think of this equation as representing the “Labor Union and Human Resources” side of a company: it is the interaction between workers and the Personnel office that determines wages, given a host of factors. In reality, many contracts are negotiated not for a level of wages given an expected cost of living, but for a rate of wage raises given an expected rate of inflation. Denote the rate of wage raises with the Greek letter𝜔 = ∆𝑊 , 𝑊 omega. Wage Curve ω = 𝜋 𝑒 + (𝑍 − 𝛼𝑢) This tells us that workers want their wages to grow faster (higher ) if their expectations for future inflation are higher (𝜋 𝑒 ); if unemployment insurance or labor-union militancy increases (higher Z); if they become less sensitive to unemployment, that is, if they care less about u (a lower ) or if unemployment is lower (lower u). Cost-plus-markup Pricing Price = Labor Costs + Non-Labor Costs The labor portion of the marginal cost of production depends on two things: the cost of a unit of labor services (e.g., the hourly wage rate), and the productivity of labor (e.g., the number of hours it takes to produce a unit). Labor productivity in turn depends on factors such as technology as well as the availability of capital, natural resources, the human capital (skills, education) of workers, and other factors. 𝑀𝑎𝑟𝑔𝑖𝑛𝑎𝑙 𝐶𝑜𝑠𝑡 𝑜𝑓 𝐿𝑎𝑏𝑜𝑟 = $ $ 𝑤𝑜𝑟𝑘𝑒𝑟 − ℎ𝑜𝑢𝑟𝑠 = 𝑢𝑛𝑖𝑡 𝑤𝑜𝑟𝑘𝑒𝑟 − ℎ𝑜𝑢𝑟 𝑢𝑛𝑖𝑡 1 𝑊 𝑀𝑎𝑟𝑔𝑖𝑛𝑎𝑙 𝐶𝑜𝑠𝑡 𝑜𝑓 𝐿𝑎𝑏𝑜𝑟 = (𝑤𝑎𝑔𝑒) ( )= 𝑝𝑟𝑜𝑑𝑢𝑐𝑡𝑖𝑣𝑖𝑡𝑦 𝐴 𝑊 𝐴 is, then, “unit labor costs”: the labor cost of producing a unit. Non-Labor Costs include profits for entrepreneurs, rent for land, interest for capital (including the availability of loans). Non-labor costs also include business taxes, etc. In particular, “Crude Producer Prices” include the cost of energy (electricity, gas), of foodstuffs and feedstuffs (wheat, cattle, soybeans), and of raw materials (coal, crude oil, sand, timber). Denoting the impact of non-labor costs by 𝑝NL , this equation 𝑃 = 𝑝NL W⁄𝐴 says that prices depend on 𝑊 unit labor costs, 𝐴 , and non-labor costs, which increase the price (relative to just unit labor costs) by a proportion 𝑝NL . Think of this as the “Production and Marketing” side of a company. Production determines the number of workers needed, given their level of productivity and availability of non-labor resources (including technology). Marketing takes the cost of producing a unit and sets the price, given all sorts of competitive considerations. It is the interaction between production and customer relations that determines prices, given a host of factors. More realistically, firms set out a plan for raising prices (their “individual firm” level of inflation), given the rate of increase in their costs. This “individual firm” inflation () (and therefore, the overall aggregate level of inflation) will be higher if the rate of increase of their labor costs () is higher or if workers’ productivity rises faster gA = A/A: both of these events would raise unit labor costs. if the rate of increase of non-labor costs NL= pNL/pNL is higher. Price Curve 𝜋 = ω + 𝜋𝑁𝐿 − 𝑔𝐴 Putting the Building Blocks Together What determines inflation in equilibrium? It is given by the combination of the interaction between all sides of the firm: the “Labor Union+Personnel” side that determines the availability and cost of labor and the “Production+Marketing” that determines the use of labor, its combination with other factors, and the revenue to be earned by the firm. Equilibrium is determined by the point where the two sides of the firm agree. Plugging the Wage Curve into the Price Curve, we get 𝜋 = 𝜋 𝑒 + (𝑍 − 𝛼𝑢) + 𝜋𝑁𝐿 − 𝑔𝐴 Rearranging a little, 𝜋 = 𝜋 𝑒 − 𝛼𝑢 + (𝑍 + 𝜋𝑁𝐿 − 𝑔𝐴 ) we find that, in equilibrium, inflation rises if expected inflation is higher (so workers want faster raises) or if unemployment is lower (so workers’ bargaining power increases); or if it is pushed up by factors that have to do with the “structure” of the economy, such as greater labor-union militancy or unemployment benefits (Z), faster-rising non-labor costs (𝜋𝑁𝐿 ), or slowing productivity (gA). Examining the Result and Using the Model Suppose that workers correctly anticipate P, so that (𝜋 = 𝜋 𝑒 ). Then (𝜋 − 𝜋 𝑒 ) = 0. The unemployment rate that is consistent with this result is called the “natural unemployment rate,” the unemployment rate that prevails when expectations are met. Set 𝜋 = 𝜋 𝑒 , and then solve for u, which is the natural rate of unemployment. 𝜋 − 𝜋 𝑒 = 0 = −𝛼𝑢 + (𝑍 + 𝜋𝑁𝐿 − 𝑔𝐴 ) 𝛼𝑢𝑛 = 𝑍 + 𝜋𝑁𝐿 − 𝑔𝐴 𝑢𝑛 = 1 [𝑍 + 𝜋𝑁𝐿 − 𝑔𝐴 ] 𝛼 un rises if Z or 𝜋𝑁𝐿 rises. un falls if 𝑔𝐴 rises. Now, notice that 𝛼𝑢𝑛 = [𝑍 + 𝜋𝑁𝐿 − 𝑔𝐴 ]. Remember that combining the Wage Curve with the Price Curve yielded 𝜋 = 𝜋 𝑒 − 𝛼𝑢 + [𝑍 + 𝜋𝑁𝐿 − 𝑔𝐴 ], we can rewrite this equation as 𝜋 = 𝜋 𝑒 − 𝛼𝑢 + 𝛼𝑢𝑛 𝜋 − 𝜋 𝑒 = −𝛼(𝑢 − 𝑢𝑛 ) This equation is known as the Phillips Curve. One interesting conclusion from this equation is that the “natural rate of unemployment” is the value of u that prevents inflation from rising above its expected value. So another term for un is the NAIRU, the non-accelerating-inflation rate of unemployment, the rate of unemployment at which inflation does not accelerate. The Phillips Curve, Expansionism and Adverse NAIRU Shocks For years and centuries, up to the mid-1960s, inflation had been sometimes high, sometimes low, sometimes negative, averaging zero over the long run. So in 1960, it was not unreasonable to suppose that future inflation would average 0 (or pretty darn close). People argued (and keep arguing) for “Price Stability”: zero inflation. Suppose then 𝜋 𝑒 = 0. 𝜋 − 𝜋 𝑒 = −𝛼(𝑢 − 𝑢𝑛 ) 𝜋 = −𝛼(𝑢 − 𝑢𝑛 ) 𝜋 𝛼𝑢𝑛 = [𝑍 + 𝜋𝑁𝐿 − 𝑔𝐴 ] −𝛼 Phillips Curve 𝑢𝑛 u 5 1969 1966 3 INFLATION 4 1968 2 1967 1965 1960 1963 1962 1 1964 1961 3 4 5 UNRATE 6 7 After 1960, the government purposefully kept inflation high to lower unemployment.1 The government “rode” the Phillips Curve, choosing where it would rather be. Higher inflation, lower unemployment. Or … higher unemployment, lower inflation. 1 See http://www.time.com/time/covers/0,16641,19651231,00.html) Many argued that “A little inflation is like a little fever, it quickly gets out of control.” Get, from Fred, data on % change of CPIAUCSL and UNRATE. Then draw a scatter plot, putting inflation on the vertical axis, between 1948 and 1969. Note the very tight fit (except for 1953 and the recession of 1958). U.S. Government's economic managers […] in 1965 […] have been pursuing a strongly expansionist policy. They carried out the second stage of a two-stage income-tax cut, thus giving consumers $11.5 billion more to spend and corporations $3 billion more to invest. In addition, they put through a long-overdue reduction in excise taxes, slicing $1.5 billion this year and another $1.5 billion in the year beginning Jan. 1. In an application of the Keynesian argument that an economy is likely to grow best when the government pumps in more money than it takes out, they boosted total federal spending to a record high of $121 billion and ran a deficit of more than $5 billion. Meanwhile, the Federal Reserve Board kept money easier and cheaper than it is in any other major nation, though proudly independent Chairman William McChesney Martin at year's end piloted through an increase in interest rates—thus following the classic anti-inflationary prescription. By and large, Keynesian public policies are working well because the private sector of the economy is making them work. Government gave business the incentive to expand, but it was private businessmen who made the decisions as to whether, when and where to do it. Washington gave consumers a stimulus to spend, but millions of ordinary Americans made the decisions—so vital to the economy —as to how and how much to spend. For all that it has profited from the ideas of Lord Keynes, the U.S. economy is still the world's most private and most free-enterprising. Were he alive, Keynes would certainly like it to stay that way. Time Magazine, Friday, Dec. 31, 1965 "We Are All Keynesians Now", http://www.time.com/time/printout/0,8816,842353,00.html But then things changed. First, after years of positive inflation – of purposefully positive inflation – people figured out that inflation wasn’t going to come back down. In particular, they figured out that it was going to remain positive and not average zero because the government wanted it to be non-positive. Expectations of inflation became non-zero. This led workers to factor in non-zero inflation into their wage bargaining. So we get an “expectational” Phillips curve. 𝜋 − 𝜋 𝑒 = −𝛼(𝑢 − 𝑢𝑛 ) 6 where 𝜋 𝑒 > 0. The result was that unemployment rose. If the Phillips Curve had not shifted, one would have thought that inflation would fall (a movement down and to the right along the Phillips Curve). But inflation stayed up even as unemployment returned to its natural rate (around 5%). In hindsight, we recognize the shift up and to the right of the Phillips Curve. 1970 5 1969 1971 4 1972 3 1966 2 1967 1965 1964 1960 1963 1962 1 INFLATION 1968 1961 3 4 5 UNRATE 6 7 𝜋 𝜋 𝑒 + 𝛼𝑢𝑛 𝛼𝑢𝑛 Phillips Curve 𝑢𝑛 𝜋 𝑒 + 𝑢𝑛 𝛼 u 15 Second, the NAIRU also changed. Oil shocks: oil prices went up significantly: 𝜋𝑁𝐿 rose quickly. The growth rate of productivity 𝑔𝐴 fell between 1973 and 1995. Entitlements and welfare expanded: Z grew. 1980 10 1981 1975 5 1978 1977 1973 1970 1969 1976 1982 1971 1968 1972 1966 1967 1965 1964 1960 1963 1962 1961 0 INFLATION 1979 1974 4 6 8 10 UNRATE The result was more inflation and more1960-1969 unemployment.1970-1972 Monetary Policy responded to these develop1973-1975 1976-1979 ments by accommodating, that is, by letting inflation rise in order to keep unemployment from rising 1980-1982 even more. 𝜋 1975, 1980-1982 1974, 1976-1979 𝜋 𝑒 + [𝑍 + 𝜋𝑁𝐿 − 𝑔𝐴 ] 1970-1973 1960-1969 Phillips Curve 𝑢𝑛 𝜋𝑒 + 𝑢𝑛 𝛼 u In sum: the Phillips Curve shifted for two reasons: expected inflation changed and the natural rate of unemployment (the NAIRU) changed adversely. Monetary Disinflation and Favorable NAIRU Shocks Between 1979 and 1984, the Federal Reserve embarked on a very aggressive anti-inflation program. This eventually changed expectations of inflation. At the same time, oil shocks receded – oil prices fell repeatedly. The combination shifited the Phillips Curve downward. Continued anti-inflation policy – and a resumption of high productivity growth – succeeded in bringing the Phillips Curve down once more in the mid-late 1990s. (Note that in 2008 oil shocks have put the economy at higher inflation-unemployment combination, more like the Phillips Curve of the late-1980s.) 15 1980 10 1981 1982 5 1990 1989 1988 1984 1991 1987 1996 1995 1985 1993 1994 1983 1992 0 1986 6 7 8 Unemployment Rate, % 9 10 6 5 5 1990 1989 2008 1991 4 1988 1987 2000 2005 3 2006 2007 2001 1997 1992 1994 2003 2 1999 1993 1996 1995 2004 1986 2002 1 1998 4 5 6 Unemployment Rate, % 7 8 The Expectationsaugmented Phillips Curve The Phillips Curve had shifted for two reasons: a) changes in expectations and b) changes in the NAIRU. We’d like to separate these two effects. To do this, we need to come up with a model for expected inflation so we can take it into account explicitly and put it on the axes. That way changes in expected inflation won’t cause shifts of the curve. This will allow us to calculate the NAIRU and see how it changes over time. What is a good model for Expected Inflation? What do people expect inflation to be?2 Instead of assuming that prices would be stable (𝑃𝑒 = 𝑃𝑡−1 ) or (𝜋 𝑒 = 0), perhaps it is reasonable to think that people expect that inflation, not prices, would be stable (𝜋 𝑒 = 𝜋𝑡−1 ). Suppose, then, 𝜋 𝑒 = 𝜋𝑡−1 . 𝜋 − 𝜋 𝑒 = −𝛼(𝑢 − 𝑢𝑛 ) 𝜋𝑡 − 𝜋𝑡−1 = −𝛼(𝑢 − 𝑢𝑛 ) ∆𝜋𝑡 = −𝛼(𝑢 − 𝑢𝑛 ) We call this an Expectations-augmented Phillips Curve (E-PC for short) because it takes expectations into account explicitly, right on the axis. Graphing the change in annual inflation versus the unemployment rate we see a pretty robust medium-term relation. We can use regression tools (from econometrics) to estimate the correct relation between the change in inflation and the unemployment rate. That is, we want to estimate the parameters of this model: ∆𝜋𝑡 = 𝛼 ̂0 − 𝛼 ̂𝑢 1 2 Here’s a useful report on the impact of changes of inflation rates for different types of goods on different kinds of households: http://www.sca.isr.umich.edu/documents.php?c=r. 4 1974 1979 1980 1957 1956 1968 1966 1969 2000 -2 0 2 1973 2008 1987 1978 2005 1989 1990 2003 1999 1988 1960 1965 1970 2004 1962 1995 1996 1963 2006 1964 1967 2007 1954 1994 1955 2001 1997 1998 1972 2002 1959 1971 1984 1977 1993 1961 19581985 1992 1991 1986 1975 1983 -4 1981 1976 1982 4 6 8 Unemployment Rate % 10 . reg chinflation unrate if time >1953 Source | SS df MS -------------+-----------------------------Model | 40.5691121 1 40.5691121 Residual | 102.886955 53 1.9412633 -------------+-----------------------------Total | 143.456067 54 2.65659383 Number of obs F( 1, 53) Prob > F R-squared Adj R-squared Root MSE = = = = = = 55 20.90 0.0000 0.2828 0.2693 1.3933 -----------------------------------------------------------------------------chinflation | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------unrate | -.6250665 .1367322 -4.57 0.000 -.8993165 -.3508165 _cons | 3.667031 .8093325 4.53 0.000 2.043715 5.290346 -----------------------------------------------------------------------------PhilCurveAnnual.dta This output tells us that 𝐶𝐻_𝐼𝑁𝐹𝐿𝐴𝑇𝐼𝑂𝑁 = 3.667 − 0.625 𝑈𝑁𝑅𝐴𝑇𝐸 On the basis of this estimated equation, what is the natural rate of unemployment? That is, the value of unemployment where inflation does not change? ∆𝜋𝑡 = 𝛼 ̂0 − 𝛼 ̂𝑢 1 0=𝛼 ̂0 − 𝛼 ̂𝑢 1 𝑛 0 = 3.667 − 0.625 𝑈𝑁𝑅𝐴𝑇𝐸𝑛 0.625 𝑢𝑛 = 3.667 𝑢𝑛 = 5.8672 So 5.86% is the NAIRU between 1953 and 2008, but without taking into account NAIRU shocks. We are also interested in knowing how the natural rate of unemployment has changed over the years. To see this, we have to allow the Expectations-augmented Phillips curve to shift – we do this by looking at the data in a bit more detail. We find that there was one E-PC between the mid-1950s and the early 1970s. Remember that the regular Phillips Curve shifted between 1969 and 1970 because expectations changed (not a change in the NAIRU). Here we are taking expectations into account, so the 1970-1972 years (which had a separate PC) are described by the same E-PC as the 1960s. That’s the advantage of modeling expectations explicitly. 4 1974 1979 -2 0 2 1973 1980 1957 1956 1968 1966 1969 2000 2008 1987 1978 2005 1989 1990 2003 1999 1988 1960 1965 1970 2004 1962 1995 1996 1963 1964 2006 1967 1994 2007 1954 1955 2001 1997 1998 1972 2002 1959 1971 1984 1977 1993 1961 19581985 1992 1991 1986 -4 1981 1976 1975 1983 1982 4 6 8 Unemployment Rate % 10 There was another curve after the 1973 oil shock and we were on it until 1984. Notice that the 19801982 monetary contraction, which caused the PC to shift, simply causes a movement along the E-PC. The monetary contraction caused expectations to change, and expectations are already taken into account in the E-PC, so we just move along it. But as oil prices fell, and fell, and fell during the 1980s (especially in real terms), the E-PC shifted in. In 1990, oil prices rose again, but the Fed did not accommodate. Instead, it fought the incipient inflation with higher interest rates, which raised unemployment and lowered expectations of inflation and shifted … the PC curve, but kept the economy on the same E-PC curve (thankfully). By the time that the recession was over and oil prices had receded, the economy was ready for a shift of the E-PC curve, back to the original (60s) E-PC. To this we returned in the late 1990s as a) oil prices fell, b) productivity rose, and c) Clinton and the Republican Congress ended welfare as-we-knew-it in 1996. Then, how has the natural rate changed? Between 1954-1972 and again between 1997-2002 and 20062007, the expectations-augmented Phillips Curve could have been described by 𝐶𝐻_𝐼𝑁𝐹𝐿𝐴𝑇𝐼𝑂𝑁1 = 3.491 − 0.707 𝑈𝑁𝑅𝐴𝑇𝐸 So 𝑢𝑛 = 4.937. Between 1973 and 1984, the expectations-augmented Phillips Curve could have been described by 𝐶𝐻_𝐼𝑁𝐹𝐿𝐴𝑇𝐼𝑂𝑁2 = 12.639 − 1.723 𝑈𝑁𝑅𝐴𝑇𝐸 So 𝑢𝑛 = 7.323. Between 1985-1996, 2003-2005, and in 2008, the expectations-augmented Phillips Curve could have been described by 𝐶𝐻_𝐼𝑁𝐹𝐿𝐴𝑇𝐼𝑂𝑁3 = 5.707 − 0.920 𝑈𝑁𝑅𝐴𝑇𝐸 So 𝑢𝑛 = 6.200. In sum: Why did the natural rate of unemployment change? As mentioned above, a combination of oil shocks3 (notice for example, the oil shocks of 2003 and 2004, which put the economy temporarily on a higher expectations-augmented Phillips Curve from 2003 to 2005); changes in productivity4; and changes to unemployment insurance and labor-union militancy. 3 4 http://research.stlouisfed.org/fred2/ http://pwt.econ.upenn.edu/php_site/pwt62/pwt62_form.php 𝑢𝑡 − 𝑢𝑡−1 = 𝑌 −𝑌 −𝛽 ( 𝑡 𝑌 𝑡−1 𝑡 − 𝑌𝑡,𝑛 −𝑌𝑡−1,𝑛 𝑌𝑡,𝑛 3 2 1975 1954 1958 1970 1980 1991 1974 ) 𝑌𝑡,𝑛 1961 2002 -1 = 3.42. 1971 2001 0 Estimating this equation yields CHUNRATE=1.32-0.39(GROWTHGDP). So 𝑌𝑡,𝑛 −𝑌𝑡−1,𝑛 1982 1 Change in the Unemployment Rate, % Okun’s Law Arthur Okun noticed this relation between the change in the unemployment rate and the percentage deviation of Real GDP from Potential GDP. 1992 1981 1990 2003 1957 19602007 1963 1967 1969 1953 1996 1983 1986 1989 1956 2000 1952 1979 1968 1999 1985 1972 2004 1997 20051998 1964 19952006 1993 1977 1966 1965 1988 1973 1994 1976 1987 1978 1962 1950 1955 1959 -2 1951 In Principles of Macroeconomics we 1984 -5 0 5 studied another version Okun’s Law Real GDP Growth Rate - Potential GDP Growth Rate, % (quite consistent with the above), which says that cyclical unemployment (𝑢𝑡 − 𝑢𝑛 ) is lower if output is above the natural level of output 𝑌𝑡 −𝑌𝑛 ). 𝑌𝑛 ( 𝑌𝑛 −𝑌𝑡 ) 𝑌𝑛 This can be expressed thus ( 1 = 𝜃 (𝑢𝑡 − 𝑢𝑛 ) or 𝑌𝑛 − 𝑌𝑡 𝑢𝑡 − 𝑢𝑛 = 𝜃 ( ) 𝑌𝑛 If we remember that above we found that 𝑢𝑛 = 5.8672, we can define “cyclical unemployment” as 𝑢𝑡 − 𝑢𝑛 = 𝑢𝑡 − 5.8672. With that definition, we run a regression . reg cyclical outputgap Source | SS df MS -------------+-----------------------------Model | 96.1023019 1 96.1023019 Residual | 28.4946018 57 .499905295 -------------+-----------------------------Total | 124.596904 58 2.14822248 Number of obs F( 1, 57) Prob > F R-squared Adj R-squared Root MSE = = = = = = 59 192.24 0.0000 0.7713 0.7673 .70704 -----------------------------------------------------------------------------cyclical | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------outputgap | .5500022 3.96681 13.87 0.000 47.05682 62.94362 _cons | -.2958689 .0921275 -3.21 0.002 -.4803511 -.1113866 -----------------------------------------------------------------------------𝑌𝑛 −𝑌𝑡 ) 𝑌𝑛 So we find that 𝜃 = 0.55, which confirms what we knew from ECON 201: ( ≈ 2(𝑢𝑡 − 𝑢𝑛 ). Notice that Okun’s Law assumes that there is a close relation between the natural level of output 𝑌𝑛 and the natural rate of unemployment 𝑢𝑛 . For example, if workers become less productive, the natural level of output will fall (less can be produced even in the long-run), and fewer workers will end up being hired (hire long-run, natural unemployment). Perhaps we can think of the relationship this way 𝑌𝑛 = 𝐴𝐿(1 − 𝑢𝑛 ) where L is the labor force (assume constant) and A is the given level of productivity. Aggregate Supply-Inflation: AS- We know that the Phillips Curve is 𝜋𝑡 = 𝜋 𝑒 − 𝛼(𝑢 − 𝑢𝑛 ) And that a familiar version of Okun’s Law is 𝑌𝑛 − 𝑌𝑡 𝑢𝑡 − 𝑢𝑛 = 𝜃 ( ) 𝑌𝑛 We can combine these two and get 𝜋𝑡 = 𝜋 𝑒 − 𝛼𝜃 ( 𝑌𝑛 − 𝑌𝑡 ) 𝑌𝑛 This is great, but wouldn’t it be nice to focus on the relation between inflation and Yt? We do some very simple rearranging and get 𝛼𝜃 𝜋𝑡 = 𝜋 𝑒 − 𝛼𝜃 + ( ) 𝑌𝑡 𝑌𝑛 We can think of this as the Aggregate Supply-Inflation equation (AS-). If we use past inflation as a proxy for expected inflation (𝜋 𝑒 = 𝜋𝑡−1 ), we can use the expectationsaugmented Phillips curve and write ∆𝜋𝑡 = 𝛼𝜃 𝑌𝑡 𝑌𝑛 − 𝛼𝜃. If our equation is correct, then the “intercept” term should be equal in size to the “slope” term, but of opposite sign … as it is! . reg chinflation outputratio Source | SS df MS -------------+-----------------------------Model | 58.3944444 1 58.3944444 Residual | 245.028133 57 4.29873918 -------------+-----------------------------Total | 303.422578 58 5.23142376 Number of obs F( 1, 57) Prob > F R-squared Adj R-squared Root MSE = = = = = = 59 13.58 0.0005 0.1925 0.1783 2.0733 -----------------------------------------------------------------------------chinflation | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------outputratio | 42.87295 11.63237 3.69 0.001 19.57953 66.16636 _cons | -42.91497 11.62433 -3.69 0.000 -66.19229 -19.63764 ------------------------------------------------------------------------------ Appendix: A graphical analysis of the Wage Curve and the Price Curve. Add inflation to both sides of the wage curve. ∆𝑊 − 𝜋 = (𝜋 𝑒 − 𝜋) + (𝑍 − 𝛼𝑢) 𝑊 Then you can draw this: ∆𝑊 −𝜋 𝑊 [𝜋 𝑒 − 𝜋 + 𝑍] Wage Curve u Change the price curve 𝜋 = ∆𝑊 𝑊 + ∆(1+𝑚) (1+𝑚) − ∆𝐴 𝐴 so that it has real wage growth on the left hand side: ∆𝑊 ∆𝐴 ∆(1 + 𝑚) −𝜋 = − 𝑊 𝐴 (1 + 𝑚) Then you can draw this: ∆𝑊 −𝜋 𝑊 ∆𝐴 ∆(1 + 𝑚) − 𝐴 (1 + 𝑚) Price Curve u Equilibrium is determined by the point where the two curves intersect, or by the solution to the system of equations formed by the Wage Curve and the Price Curve. ∆𝑊 −𝜋 𝑊 [𝜋 𝑒 − 𝜋 + 𝑍] ∆𝐴 ∆(1 + 𝑚) − 𝐴 (1 + 𝑚) Price Curve Wage Curve u To find equilibrium unemployment, we need to combine the Wage Curve with the Price Curve, and solve. (𝜋 𝑒 − 𝜋) + (𝑍 − 𝛼𝑢) = ( 𝑢= ∆𝐴 ∆(1 + 𝑚) − ) 𝐴 (1 + 𝑚) 1 ∆𝐴 ∆(1 + 𝑚) )] [𝑍 − (𝜋 − 𝜋 𝑒 ) − ( − 𝛼 𝐴 (1 + 𝑚) If actual inflation exceeds expected inflation (𝜋 > 𝜋 𝑒 ), that is, if workers expect inflation to be lower than it actually is, workers’ requests for raises will be relatively moderate compared to increases in prices. Firms will be able to afford the raises and even to expand payroll. So unemployment falls. o If expected inflation exceeds actual inflation (𝜋 < 𝜋 𝑒 ), workers will demand faster raises but firms won’t be able to afford them. Layoffs will moderate wage demands: unemployment rises. If unemployment benefits, Z, rise, workers will be less scared of unemployment: unemployment rises. o For example, a union negotiates both the wage for its members and the amount of workers that are hired; or knows that by asking for high wages for members, it will lead to more unemployment among non-members, who will now be mad at the union. If unemployment benefits rise, the pain for unemployed members or non-members is not too great, and the union will be emboldened to ask for more. ∆𝑊 −𝜋 𝑊 [𝜋 𝑒 − 𝜋 + 𝑍′] [𝜋 𝑒 − 𝜋 + 𝑍] Price Curve ∆𝐴 ∆(1 + 𝑚) − 𝐴 (1 + 𝑚) Wage Curve u o If workers become more sensitive to unemployment (higher ), the Wage Curve will become steeper. Because they are more sensitive, they will be willing to take the same W/P with lower unemployment, so u falls. ∆𝑊 −𝜋 𝑊 [𝜋 𝑒 − 𝜋 + 𝑍] ∆𝐴 ∆(1 + 𝑚) − 𝐴 (1 + 𝑚) Price Curve Wage Curve u If markups increase or if Non-Labor Cost inflation speeds up, unemployment rises o Higher costs or monopoly power leads to higher Prices. If (𝜋 − 𝜋 𝑒 ) doesn’t change (that is, if workers change their expectations to match the change in P), then the real ∆𝑊 𝑊 expected wage ( ployment must rise. − 𝜋 𝑒 ) has to fall. To get workers to accept a real wage cut, unem- ∆𝑊 −𝜋 𝑊 [𝜋 𝑒 − 𝜋 + 𝑍] ∆𝐴 ∆(1 + 𝑚) − 𝐴 (1 + 𝑚) Price Curve ∆𝐴 ∆(1 + 𝑚) − 𝐴 (1 + 𝑚) Wage Curve u o If productivity rises, unit costs will be lower, leading to lower prices and unemployment. This is a shift up of the Price Curve and leads to a decrease in equilibrium unemployment. Appendix: Deriving the Price Curve from monopolistic-competitor behavior The marginal cost of labor depends on two things: The cost of a unit of labor services (e.g., the hourly wage rate), and the productivity of labor (e.g., the number of hours it takes to produce a unit). Labor productivity in turn depends on factors such as technology as well as the availability of capital, natural resources, the human capital (skills, education) of workers, and other factors. 𝑀𝑎𝑟𝑔𝑖𝑛𝑎𝑙 𝐶𝑜𝑠𝑡 = $ $ 𝑤𝑜𝑟𝑘𝑒𝑟 − ℎ𝑜𝑢𝑟𝑠 = 𝑢𝑛𝑖𝑡 𝑤𝑜𝑟𝑘𝑒𝑟 − ℎ𝑜𝑢𝑟 𝑢𝑛𝑖𝑡 1 𝑊 𝑀𝑎𝑟𝑔𝑖𝑛𝑎𝑙 𝐶𝑜𝑠𝑡 = (𝑤𝑎𝑔𝑒) ( )= 𝑝𝑟𝑜𝑑𝑢𝑐𝑡𝑖𝑣𝑖𝑡𝑦 𝐴 $ A profit-maximizing firm will set marginal revenue equal to marginal cost, 𝑀𝑅 = 𝑢𝑛𝑖𝑡 = 𝑀𝐶. But because most firms are not perfect competitors, price typically exceeds marginal revenue and therefore marginal cost: 𝑃 > 𝑀𝑅 = 𝑀𝐶. We can think of the gap between MC and P as representing the economic-profit-per-unit, and call that (1 + 𝑚), the markup of prices over costs. 𝑃 = (1 + 𝑚)𝑀𝐶 What determines m? The monopolistic (market) power of firms, which yields economic profits for entrepreneurs. Whether markups are pro- or counter-cyclical is a controversial point, see http://findarticles.com/p/articles/mi_m0PAO/is_/ai_n6152614) If we decide that MC will only represent labor costs, then 𝑀𝐶 = 𝑊 , 𝐴 then (1 + 𝑚) also includes non- labor costs. Non-labor costs depend on the price of energy (e.g., oil), the availability and cost of loans, 𝑊 business taxes, etc. 𝑃 = (1 + 𝑚) 𝐴 .