Lectures in Labor Economics
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Aggregate Productivity Growth: Lessons from Microeconomic Evidence
Aggregate Productivity Growth: Lessons from Microeconomic Evidence Lucia Foster, John Haltiwanger and C.J. Krizan* June 2000 * Respectively, Bureau of the Census; University of Maryland, Bureau of the Census, and NBER; and Fannie Mae and Bureau of the Census. We thank Tomas Dvorak for helpful research assistance. The analyses and results presented in this paper are attributable to the authors and do not necessarily reflect concurrence by the Bureau of the Census. 1 I. Overview Recent research using establishment and firm level data has raised a variety of conceptual and measurement questions regarding our understanding of aggregate productivity growth.1 Several key, related findings are of interest. First, there is large scale, ongoing reallocation of outputs and inputs across individual producers. Second, the pace of this reallocation varies over time (both secularly and cyclically) and across sectors. Third, much of this reallocation reflects within rather than between sector reallocation. Fourth, there are large differentials in the levels and the rates of growth of productivity across establishments within the same sector. The rapid pace of output and input reallocation along with differences in productivity levels and growth rates are the necessary ingredients for the pace of reallocation to play an important role in aggregate (i.e., industry) productivity growth. However, our review of the existing studies indicates that the measured contribution of such reallocation effects varies over time and across sectors and is sensitive to measurement methodology. An important objective of this paper is to sort out the role of these different factors so that we can understand the nature and the magnitude of the contribution of reallocation to aggregate productivity growth. -
Economics of Competition in the U.S. Livestock Industry Clement E. Ward
Economics of Competition in the U.S. Livestock Industry Clement E. Ward, Professor Emeritus Department of Agricultural Economics Oklahoma State University January 2010 Paper Background and Objectives Questions of market structure changes, their causes, and impacts for pricing and competition have been focus areas for the author over his entire 35-year career (1974-2009). Pricing and competition are highly emotional issues to many and focusing on factual, objective economic analyses is critical. This paper is the author’s contribution to that effort. The objectives of this paper are to: (1) put meatpacking competition issues in historical perspective, (2) highlight market structure changes in meatpacking, (3) note some key lawsuits and court rulings that contribute to the historical perspective and regulatory environment, and (4) summarize the body of research related to concentration and competition issues. These were the same objectives I stated in a presentation made at a conference in December 2009, The Economics of Structural Change and Competition in the Food System, sponsored by the Farm Foundation and other professional agricultural economics organizations. The basis for my conference presentation and this paper is an article I published, “A Review of Causes for and Consequences of Economic Concentration in the U.S. Meatpacking Industry,” in an online journal, Current Agriculture, Food & Resource Issues in 2002, http://caes.usask.ca/cafri/search/archive/2002-ward3-1.pdf. This paper is an updated, modified version of the review article though the author cannot claim it is an exhaustive, comprehensive review of the relevant literature. Issue Background Nearly 20 years ago, the author ran across a statement which provides a perspective for the issues of concentration, consolidation, pricing, and competition in meatpacking. -
Labor Demand: First Lecture
Labor Market Equilibrium: Fourth Lecture LABOR ECONOMICS (ECON 385) BEN VAN KAMMEN, PHD Extension: the minimum wage revisited •Here we reexamine the effect of the minimum wage in a non-competitive market. Specifically the effect is different if the market is characterized by a monopsony—a single buyer of a good. •Consider the supply curve for a labor market as before. Also consider the downward-sloping VMPL curve that represents the labor demand of a single firm. • But now instead of multiple competitive employers, this market has only a single firm that employs workers. • The effect of this on labor demand for the monopsony firm is that wage is not a constant value set exogenously by the competitive market. The wage now depends directly (and positively) on the amount of labor employed by this firm. , = , where ( ) is the market supply curve facing the monopsonist. Π ∗ − ∗ − Monopsony hiring • And now when the monopsonist considers how much labor to supply, it has to choose a wage that will attract the marginal worker. This wage is determined by the supply curve. • The usual profit maximization condition—with a linear supply curve, for simplicity—yields: = + = 0 Π where the last term in parentheses is the slope ∗ of the −labor supply curve. When it is linear, the slope is constant (b), and the entire set of parentheses contains the marginal cost of hiring labor. The condition, as usual implies that the employer sets marginal benefit ( ) equal to marginal cost; the only difference is that marginal cost is not constant now. Monopsony hiring (continued) •Specifically the marginal cost is a curve lying above the labor supply with twice the slope of the supply curve. -
The Budgetary Effects of the Raise the Wage Act of 2021 February 2021
The Budgetary Effects of the Raise the Wage Act of 2021 FEBRUARY 2021 If enacted at the end of March 2021, the Raise the Wage Act of 2021 (S. 53, as introduced on January 26, 2021) would raise the federal minimum wage, in annual increments, to $15 per hour by June 2025 and then adjust it to increase at the same rate as median hourly wages. In this report, the Congressional Budget Office estimates the bill’s effects on the federal budget. The cumulative budget deficit over the 2021–2031 period would increase by $54 billion. Increases in annual deficits would be smaller before 2025, as the minimum-wage increases were being phased in, than in later years. Higher prices for goods and services—stemming from the higher wages of workers paid at or near the minimum wage, such as those providing long-term health care—would contribute to increases in federal spending. Changes in employment and in the distribution of income would increase spending for some programs (such as unemployment compensation), reduce spending for others (such as nutrition programs), and boost federal revenues (on net). Those estimates are consistent with CBO’s conventional approach to estimating the costs of legislation. In particular, they incorporate the assumption that nominal gross domestic product (GDP) would be unchanged. As a result, total income is roughly unchanged. Also, the deficit estimate presented above does not include increases in net outlays for interest on federal debt (as projected under current law) that would stem from the estimated effects of higher interest rates and changes in inflation under the bill. -
Application of Game Theory in Swedish Raw Material Market Rami Al-Halabi 2020-06-12
Application of game theory in Swedish raw material market Rami Al-Halabi 2020-06-12 Application of game theory in Swedish raw material market Investigating the pulpwood market Rami Al-Halabi Dokumenttyp – Självständigt arbete på grundnivå Huvudområde: Industriell organisation och ekonomi GR (C) Högskolepoäng: 15 HP Termin/år: VT2020 Handledare: Soleiman M. Limaei Examinator: Leif Olsson Kurskod/registreringsnummer: IG027G Utbildningsprogram: Civilingenjör, industriell ekonomi i Application of game theory in Swedish raw material market Rami Al-Halabi 2020-06-12 Sammanfattning Studien går ut på att analysera marknadsstrukturen för två industriföretag (Holmen och SCA) under antagandet att båda konkurrerar mot varandra genom att köpa rå material samt genom att sälja förädlade produkter. Produktmarknaden som undersöks är pappersmarknaden och antas vara koncentrerad. Rå materialmarknaden som undersöks är massavedmarknaden och antas karaktäriseras som en duopsony. Det visade sig att Holmen och SCA köper massaved från en stor mängd skogsägare. Varje företag skapar varje månad en prislista där de bestämmer bud priset för massaved. Priset varierar beroende på region. Både SCA och Holmen väljer mellan två strategiska beslut, antigen att buda högt pris eller lågt pris. Genom spelteori så visade det sig att båda industriföretagen använder mixade strategier då de i vissa tillfällen budar högt och i andra tillfällen budar lågt. Nash jämviktslägen för mixade strategier räknades ut matematiskt och analyserades genom dynamisk spelteori. Marknadskoncentrationen för pappersmarknaden undersöktes via Herfindahl-Hirschman index (HHI). Porters femkraftsmodell användes för att analysera industri konkurrensen. Resultatet visade att produktmarknaden är koncentrerad då HHI testerna gav höga indexvärden mellan 3100 och 1700. Det existerade dessutom ett Nash jämviktsläge för mixade strategier som gav SCA förväntad lönsamhet 1651 miljoner kronor och Holmen 1295 miljoner kronor. -
1- TECHNOLOGY Q L M. Muniagurria Econ 464 Microeconomics Handout
M. Muniagurria Econ 464 Microeconomics Handout (Part 1) I. TECHNOLOGY : Production Function, Marginal Productivity of Inputs, Isoquants (1) Case of One Input: L (Labor): q = f (L) • Let q equal output so the production function relates L to q. (How much output can be produced with a given amount of labor?) • Marginal productivity of labor = MPL is defined as q = Slope of prod. Function L Small changes i.e. The change in output if we change the amount of labor used by a very small amount. • How to find total output (q) if we only have information about the MPL: “In general” q is equal to the area under the MPL curve when there is only one input. Examples: (a) Linear production functions. Possible forms: q = 10 L| MPL = 10 q = ½ L| MPL = ½ q = 4 L| MPL = 4 The production function q = 4L is graphed below. -1- Notice that if we only have diagram 2, we can calculate output for different amounts of labor as the area under MPL: If L = 2 | q = Area below MPL for L Less or equal to 2 = = in Diagram 2 8 Remark: In all the examples in (a) MPL is constant. (b) Production Functions With Decreasing MPL. Remark: Often this is thought as the case of one variable input (Labor = L) and a fixed factor (land or entrepreneurial ability) (2) Case of Two Variable Inputs: q = f (L, K) L (Labor), K (Capital) • Production function relates L & K to q (total output) • Isoquant: Combinations of L & K that can achieve the same q -2- • Marginal Productivities )q MPL ' Small changes )L K constant )q MPK ' Small changes )K L constant )K • MRTS = - Slope of Isoquant = Absolute value of Along Isoquant )L Examples (a) Linear (L & K are perfect substitutes) Possible forms: q = 10 L + 5 K Y MPL = 10 MPK = 5 q = L + K Y MPL = 1 MPK = 1 q = 2L + K Y MPL = 2 MPK = 1 • The production function q = 2 L + K is graphed below. -
Deflation: a Business Perspective
Deflation: a business perspective Prepared by the Corporate Economists Advisory Group Introduction Early in 2003, ICC's Corporate Economists Advisory Group discussed the risk of deflation in some of the world's major economies, and possible consequences for business. The fear was that historically low levels of inflation and faltering economic growth could lead to deflation - a persistent decline in the general level of prices - which in turn could trigger economic depression, with widespread company and bank failures, a collapse in world trade, mass unemployment and years of shrinking economic activity. While the risk of deflation is now remote in most countries - given the increasingly unambiguous signs of global economic recovery - its potential costs are very high and would directly affect companies. This issues paper was developed to help companies better understand the phenomenon of deflation, and to give them practical guidance on possible measures to take if and when the threat of deflation turns into reality on a future occasion. What is deflation? Deflation is defined as a sustained fall in an aggregate measure of prices (such as the consumer price index). By this definition, changes in prices in one economic sector or falling prices over short periods (e.g., one or two quarters) do not qualify as deflation. Dec lining prices can be driven by an increase in supply due to technological innovation and rapid productivity gains. These supply-induced shocks are usually not problematic and can even be accompanied by robust growth, as experienced by China. A fall in prices led by a drop in demand - due to a severe economic cycle, tight economic policies or a demand-side shock - or by persistent excess capacity can be much more harmful, and is more likely to lead to persistent deflation. -
Social Sciences: Achievements and Prospects Journal 3(11), 2019
Social Sciences: Achievements and Prospects Journal 3(11), 2019 Contents lists available at ScienceCite Index Social Sciences: Achievements and Prospects Journal journal homepage: http://scopuseu.com/scopus/index.php/ssap/index What are the differences between the study of Micro Economics and Macro Economics and how are they interrelated with regard to the drafting of economic policies to remain current and relevant to the global economic environment Azizjon Akromov 1, Mushtariybegim Azlarova 2, Bobur Mamataliev 2, Azimkhon Koriev 2 1 Student MDIST 2 Students Tashkent State University Economic ARTICLE INFO ABSTRACT Article history: As economics is mostly known for being a social science, studying production, Received consumption, distribution of goods and services, its primary goal is to care about Accepted wellbeing of its society, which includes firms, people, and so forth. The study of Available online economics mainly consists of its two crucial components, which are Keywords: microeconomics and macroeconomics. Together these main parts of economics are concerned with both private and public sector issues including, inflation, economic Macroeconomics, growth, choices, demand and supply, production, income, unemployment and many microeconomics, other aspects. It is already mentioned that wellbeing of society would be indicators, production, established when government, while making economics policies, assume all factors consumers, companies, including those people who are employed or unemployed, so that no one gets hurt economics, government or suffer in the end. When it comes to making economic decisions and policies, governments should take into consideration that decisions made on a macro level has huge impact on micro and the same with micro, firms, households, individuals’ behaviors and choices come as aggregate in total, then turns into macro level, which triggers the introduction of some policies. -
Macroeconomics Course Outline and Syllabus
City University of New York (CUNY) CUNY Academic Works Open Educational Resources New York City College of Technology 2018 Macroeconomics Course Outline and Syllabus Sean P. MacDonald CUNY New York City College of Technology How does access to this work benefit ou?y Let us know! More information about this work at: https://academicworks.cuny.edu/ny_oers/8 Discover additional works at: https://academicworks.cuny.edu This work is made publicly available by the City University of New York (CUNY). Contact: [email protected] COURSE OUTLINE FOR ECON 1101 – MACROECONOMICS New York City College of Technology Social Science Department COURSE CODE: 1101 TITLE: Macroeconomics Class Hours: 3, Credits: 3 COURSE DESCRIPTION: Fundamental economic ideas and the operation of the economy on a national scale. Production, distribution and consumption of goods and services, the exchange process, the role of government, the national income and its distribution, GDP, consumption function, savings function, investment spending, the multiplier principle and the influence of government spending on income and output. Analysis of monetary policy, including the banking system and the Federal Reserve System. COURSE PREREQUISITE: CUNY proficiency in reading and writing RECOMMENDED TEXTBOOK and MATERIALS* Krugman and Wells, Eds., Macroeconomics 3rd. ed, Worth Publishers, 2012 Leeds, Michael A., von Allmen, Peter and Schiming, Richard C., Macroeconomics, Pearson Education, Inc., 2006 Supplemental Reading (optional, but informative): Krugman, Paul, End This Depression -
Carbonomics Innovation, Deflation and Affordable De-Carbonization
EQUITY RESEARCH | October 13, 2020 | 9:24PM BST Carbonomics Innovation, Deflation and Affordable De-carbonization Net zero is becoming more affordable as technological and financial innovation, supported by policy, are flattening the de-carbonization cost curve. We update our 2019 Carbonomics cost curve to reflect innovation across c.100 different technologies to de- carbonize power, mobility, buildings, agriculture and industry, and draw three key conclusions: 1) low-cost de-carbonization technologies (mostly renewable power) continue to improve consistently through scale, reducing the lower half of the cost curve by 20% on average vs. our 2019 cost curve; 2) clean hydrogen emerges as the breakthrough technology in the upper half of the cost curve, lowering the cost of de-carbonizing emissions in more difficult sectors (industry, heating, heavy transport) by 30% and increasing the proportion of abatable emissions from 75% to 85% of total emissions; and 3) financial innovation and a lower cost of capital for low-carbon activities have driven around one-third of renewables cost deflation since 2010, highlighting the importance of shareholder engagement in climate change, monetary stimulus and stable regulatory frameworks. The result of these developments is very encouraging, shaving US$1 tn pa from the cost of the path towards net zero and creating a broader connected ecosystem for de- carbonization that includes renewables, clean hydrogen (both blue and green), batteries and carbon capture. Michele Della Vigna, CFA Zoe Stavrinou Alberto Gandolfi +44 20 7552-9383 +44 20 7051-2816 +44 20 7552-2539 [email protected] [email protected] alberto.gandolfi@gs.com Goldman Sachs International Goldman Sachs International Goldman Sachs International Goldman Sachs does and seeks to do business with companies covered in its research reports. -
Efficiency Wages
1 Efficiency wages Neoclassical theory treats labor as a hired input in much the same way as • capital but workers, unlike capital, can chose levels of effort • and such choice has important effects when information is imperfect • 2 Main feature in efficiency wages: firms unilaterally set wages, and choose not to cut wages down to the market-clearing level, because of the detrimental effect that this would have on worker effort, motivation, recruitment, retention, and ultimately on firm profits. Several efficiency wages mechanisms have been put forward in the literature: Higher wages help reduce shirking when effort is not perfectly observed • (Shapiro and Stiglitz AER 1984); Higher wages improve worker morale and effort; “gift exchange” (Akerlof • QJE 1982); Higher wages reduce worker quits and labor turnover costs (Salop AER • 1979); Higher wages attracts more applicants and increase hires (Weiss JPE 1980). • 3 1 The shirking model Shapiro C. and J Stiglitz (1984) “Equilibrium Unemployment as a Worker Dis- cipline Device”, American Economic Review. Involuntary unemployment is driven by problems of imperfect information • characterizing employee-employer relationships: — workers (unlike capital) choose level of effort — employers are unable to costlessly monitor worker effort. In the competitive paradigm all workers are paid their reservation wage and • there is no unemployment. Whenever a worker is caught shirking, he is dismissed and immediately • rehired in the outside labor market at the pre-layoff wage. 4 With imperfect monitoring and full employment, workers will choose to shirk, • as shirking involves zero costs and saves workers some effort. A firm willing to reduce shirking would pay more than the ongoing wage, • so as to inflict a cost on those who are found shirking and need to look for jobs in the outside labor market. -
Parental Socioeconomic Status, Child Health, and Human Capital Janet
Parental Socioeconomic Status, Child Health, and Human Capital Janet Currie and Joshua Goodman ABSTRACT Parental socioeconomic status (SES) may affect a child’s educational outcomes through a number of pathways, one of which is the child’s health. This essay asks two questions: What evidence exists about the effect of parental SES on child health? And, what evidence exists about the effect of child health on future outcomes, such as education? We conclude that there is strong evidence of both links. Introduction Investments in education pay off in the form of higher future earnings, and differences in educational attainments explain a significant fraction of the adult variation in wages, incomes, and other outcomes. But what determines a child’s educational success? Most studies point to family background as the primary factor. But why does background matter? While many aspects are no doubt important, research increasingly implicates health as a potentially major factor. The importance of health for education and earnings suggests that if family background affects child health, then poor child health may in turn affect education and future economic status. What evidence exists about the effect of parental socioeconomic status (SES) on child health? And, what evidence exists about the effect of child health on future outcomes, such as education? A great deal of evidence shows that low SES in childhood is related to poorer future adult health (Davey Smith et al., 1998). The specific question at the heart of this review is whether low parental SES affects future outcomes through its effects on child health. In most of the studies cited, SES is defined by parental income or poverty status, though some measure SES through residential neighborhood or parental schooling attainment.