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Applied economics

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Applied economics is the application of economic theory and econometrics in specific settings. As one of the two sets of fields of economics (the other set being the core ), it is typically characterized by the application of the core , i.e. economic theory and econometrics to address practical issues in a range of fields including demographic economics , labour economics , business economics , industrial organization , agricultural economics , development economics , education economics , engineering economics , financial economics , health economics , monetary economics , public economics , and economic history . From the perspective of economic development, the purpose of applied economics is to enhance the quality of business practices and national policy making.

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45-400: The process often involves a reduction in the level of abstraction of this core theory. There are a variety of approaches including not only empirical estimation using econometrics , input-output analysis or simulations but also case studies, historical analogy and so-called common sense or the "vernacular". This range of approaches is indicative of what Roger Backhouse and Jeff Biddle argue

90-700: A spurious relationship where two variables are correlated but causally unrelated. In a study of the use of econometrics in major economics journals, McCloskey concluded that some economists report p -values (following the Fisherian tradition of tests of significance of point null-hypotheses ) and neglect concerns of type II errors ; some economists fail to report estimates of the size of effects (apart from statistical significance ) and to discuss their economic importance. She also argues that some economists also fail to use economic reasoning for model selection , especially for deciding which variables to include in

135-416: A decrease in the unemployment, as hypothesized . If the estimate of β 1 {\displaystyle \beta _{1}} were not significantly different from 0, the test would fail to find evidence that changes in the growth rate and unemployment rate were related. The variance in a prediction of the dependent variable (unemployment) as a function of the independent variable (GDP growth)

180-593: A regression. In some cases, economic variables cannot be experimentally manipulated as treatments randomly assigned to subjects. In such cases, economists rely on observational studies , often using data sets with many strongly associated covariates , resulting in enormous numbers of models with similar explanatory ability but different covariates and regression estimates. Regarding the plurality of models compatible with observational data-sets, Edward Leamer urged that "professionals ... properly withhold belief until an inference can be shown to be adequately insensitive to

225-528: A test of the usefulness of applying neoclassical price theory to the wages and employment. In other words, it was not just a technical quarrel over such things as the sign and size of wage-elasticity but rather an installment in a long running methodological dispute over whether neoclassical price theory is in reality of any use. Swann (2006) queries the dominance of such econometric techniques within Applied Economics and suggests what he describes as

270-480: Is an application of statistical methods to economic data in order to give empirical content to economic relationships. More precisely, it is "the quantitative analysis of actual economic phenomena based on the concurrent development of theory and observation, related by appropriate methods of inference." An introductory economics textbook describes econometrics as allowing economists "to sift through mountains of data to extract simple relationships." Jan Tinbergen

315-402: Is being applied need not be "economic theory", as conventionally defined rather something more basic. Eli Devons made a distinction between three different kinds of "things", any of which might be being applied: The Journal of Applied Economics publishes original contributions on applied issues in micro and macroeconomics. The primary criteria for selecting papers are quality and importance for

360-464: Is estimated to be 0.83 and β 1 {\displaystyle \beta _{1}} is estimated to be -1.77. This means that if GDP growth increased by one percentage point, the unemployment rate would be predicted to drop by 1.77 * 1 points, other things held constant . The model could then be tested for statistical significance as to whether an increase in GDP growth is associated with

405-425: Is given in polynomial least squares . Econometric theory uses statistical theory and mathematical statistics to evaluate and develop econometric methods. Econometricians try to find estimators that have desirable statistical properties including unbiasedness , efficiency , and consistency . An estimator is unbiased if its expected value is the true value of the parameter; it is consistent if it converges to

450-402: Is inessential to examine problems as reduced to their principal and essentials. He distinguishes between "pure economics" from "applied economics" with pure economics containing only the principal lines of argument and applied economics involving supplying the details. Joseph Schumpeter (1954, 23) referred to some applied fields in economics the repetition of which might help highlight some of

495-444: Is macroeconomics. In the 1960s and 1970s, macroeconomics was a part of the core of the subject. Why? Because macroeconomics was not only sufficiently important to be part of any economist's training, but also embodied a set of concepts and principles not found in microeconomic theory. However the replacement of Keynesian approach to macroeconomics with new classical macroeconomics and its successors, macroeconomics might now be regarded by

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540-709: Is one of the two founding fathers of econometrics. The other, Ragnar Frisch , also coined the term in the sense in which it is used today. A basic tool for econometrics is the multiple linear regression model. Econometric theory uses statistical theory and mathematical statistics to evaluate and develop econometric methods. Econometricians try to find estimators that have desirable statistical properties including unbiasedness , efficiency , and consistency . Applied econometrics uses theoretical econometrics and real-world data for assessing economic theories, developing econometric models , analysing economic history , and forecasting . A basic tool for econometrics

585-444: Is the multiple linear regression model. In modern econometrics, other statistical tools are frequently used, but linear regression is still the most frequently used starting point for an analysis. Estimating a linear regression on two variables can be visualised as fitting a line through data points representing paired values of the independent and dependent variables. For example, consider Okun's law , which relates GDP growth to

630-421: Is the ambiguous nature of the concept of applied economics. It is a concept with multiple meanings. Among broad methodological distinctions, one source places it in neither positive nor normative economics but the art of economics , glossed as "what most economists do". The origin and meanings of applied economics have a long history going back to the writing of Say and Mill . Say wrote about "applying"

675-675: Is the one of two journals published by the Agricultural & Applied Economics Association (AAEA), along with the American Journal of Agricultural Economics (AJAE). Today is the leading journal in 'applied economics' with a 2011 impact factor of 1.552. The purpose of AEPP is to analyze areas of current applied economic research in an effort to inform the policy-makers and decision makers; and to generate connections between sub-fields of agricultural and applied economics in order to focus future research and increase knowledge of those in

720-429: Is to estimate the parameters, β 0  and  β 1 {\displaystyle \beta _{0}{\mbox{ and }}\beta _{1}} under specific assumptions about the random variable ε {\displaystyle \varepsilon } . For example, if ε {\displaystyle \varepsilon } is uncorrelated with years of education, then

765-543: The Agricultural & Applied Economics Association . The American Journal of Agricultural Economics has been produced since 1919, and publishes research in the "economics of agriculture and food, natural resources and the environment, and rural and community development throughout the world". Applied Economic Perspectives and Policy (AEPP) is the leading peer-reviewed journal of applied economics and policy. Published four times per year by Oxford University Press , it

810-499: The natural logarithm of a person's wage is a linear function of the number of years of education that person has acquired. The parameter β 1 {\displaystyle \beta _{1}} measures the increase in the natural log of the wage attributable to one more year of education. The term ε {\displaystyle \varepsilon } is a random variable representing all other factors that may have direct influence on wage. The econometric goal

855-484: The "general principles of political economy" to "ascertain the rule of action of any combination of circumstances presented to us". The full title of Mill's (1848) work is Principles of Political Economy with Some of Their Applications to Social Philosophy. John Neville Keynes was perhaps the first to use the phrase "applied economics". He noted that the "English School" ( John Stuart Mill , John Elliott Cairnes , and Nassau William Senior ) believed that political economy

900-444: The "vernacular of the everyday practice of economics" should be taken seriously. Swann points out that econometrics's privileged position has not been supported by its disappointing results and rather suggests other applied techniques, the vernacular, are also worthy of consideration. These approaches to applied economics, include simulation, engineering economics , case studies and common sense. Econometrics Econometrics

945-432: The 20th Century Institutionalists argue in this way. Mitchell (1936) noted that those working in "specialized fields" had little use for kind of qualitative theory postulated by Marshall and Jevons . Mitchell suggested that knowledge of "real markets," would cause the complexion and content of economic theory (Mitchell 1937, 26–28). Friedman shared this view that theoretical concepts might or rather should arise out of

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990-473: The analysis of real world data. For both Mitchell and Friedman economics should involve an interaction between examining data and formulating hypotheses. Another issue which is related to the McCloskey critique . This is economists do not necessarily practice what they preach. In this context that is the claim to be an "applied economist," is just shorthand for saying they are looking at the real economy. What

1035-439: The challenge of making economics into a science by combining theory and measurement within a cohesive framework. They report Stone's proposal for the establishment of the now famous Department of Applied Economics at Cambridge. Stone argued that: The basis for rival approaches tends to be the denial that sound theory can be made without some concrete linking with its area of application. Both the 19th century Historical School and

1080-493: The design of observational studies in econometrics is similar to the design of studies in other observational disciplines, such as astronomy, epidemiology, sociology and political science. Analysis of data from an observational study is guided by the study protocol, although exploratory data analysis may be useful for generating new hypotheses. Economics often analyses systems of equations and inequalities, such as supply and demand hypothesized to be in equilibrium . Consequently,

1125-408: The economics profession differing views as to what belongs in the core – where one draws the line between research that is contributing to the core and research that is applying the core, and the relative importance or significance of research on topics in the core versus applied economics research. Some examples of the problems of applied economics from various fields and issues: One example of this

1170-808: The effect of education on wages. The most obvious way to control for birthplace is to include a measure of the effect of birthplace in the equation above. Exclusion of birthplace, together with the assumption that ϵ {\displaystyle \epsilon } is uncorrelated with education produces a misspecified model. Another technique is to include in the equation additional set of measured covariates which are not instrumental variables, yet render β 1 {\displaystyle \beta _{1}} identifiable. An overview of econometric methods used to study this problem were provided by Card (1999). The main journals that publish work in econometrics are: Like other forms of statistical analysis, badly specified econometric models may show

1215-453: The equation can be estimated with ordinary least squares . If the researcher could randomly assign people to different levels of education, the data set thus generated would allow estimation of the effect of changes in years of education on wages. In reality, those experiments cannot be conducted. Instead, the econometrician observes the years of education of and the wages paid to people who differ along many dimensions. Given this kind of data,

1260-454: The estimated coefficient on years of education in the equation above reflects both the effect of education on wages and the effect of other variables on wages, if those other variables were correlated with education. For example, people born in certain places may have higher wages and higher levels of education. Unless the econometrician controls for place of birth in the above equation, the effect of birthplace on wages may be falsely attributed to

1305-443: The factors ignored in building the abstract theories. Keynes wrote about applying the political economies hypothetical laws to interpreting and explaining of "concrete industrial facts". The issue of conceptual distinction between political economy as a science (involving formulating laws which govern the production and distribution of wealth) and political economy as an art (using the laws to tackle practical problems). Whilst noting

1350-432: The field about the impact of public policy. Backhouse and Biddle argue that the mainstream view, that there is an accepted "theoretical core" and that this can be applied in a range of areas, relies on this core having specific characteristics – namely, that it has a wide scope and can be developed independently of individual applications. But they note that as with the definition of applied economics itself, there are within

1395-411: The field of econometrics has developed methods for identification and estimation of simultaneous equations models . These methods are analogous to methods used in other areas of science, such as the field of system identification in systems analysis and control theory . Such methods may allow researchers to estimate models and investigate their empirical consequences, without directly manipulating

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1440-411: The field. Papers based on a well motivated research problem that make a concrete contribution to empirical economics or applied theory are especially encouraged. Applied Economics is a journal that interprets its subject area as "the application of economic analysis to specific problems in both the public and private sectors" and seeks to publish "quantitative studies, the results of which are of use in

1485-480: The history of the economics of growth in order to illustrate the historical nature of the concept of applied economics. He first discusses the perspective of the theorists' views of the applied dimension of their work and examines each from the perspective of the work carried out at the Department of Applied Economics (DAE) at Cambridge University. He emphasizes the divergences concerning economists' understanding of

1530-468: The issues involved in what defining applied economics involves. He discussed the following fields: Modern mainstream economics holds the view that there is a body of abstract economic theory — the "core" — and applied economics involves the practitioner in the lowering some elements of the abstraction of this to examine particular issues. This lowering of the level of abstraction may involve: Pesaran and Harcourt (2000) describe Stone 's attempt to face

1575-419: The likely effects were small and that several seemingly more important policy issues such as (entitlement reform, health insurance, CPI calculation) generated nothing like the storm. His explanation is that while this controversy was not especially important to the economy, it was very important to economics and economics as a policy science. His explanation for this is that minimum wage research came to be seen as

1620-594: The mainstream as merely an application of microeconomic theory. Another example is the situation within Development Economics. Throughout the 1950s and 1960s most development economist regarded the application of standard "core" microeconomic theory to their area as being entirely inappropriate. An alternative set of models provided their core. This might be best described as the structuralist approach. More recently development economics texts have provided applications of mainstream core theory. Comim uses

1665-490: The nature of things. Pure economics then involves pure logic. Applied economics involves examining ways to achieve practical goals and requires the making judgments about whether or not the logic of pure economics was relevant to the real world. Social economics also presumed pure economics, but dealt with a different range of questions than did applied economics. Vilfredo Pareto ([1906] 1971, 104) follows as similar usage suggesting economics might begin by eliminating that which

1710-695: The practical field" and thus may help "bring economic theory nearer to reality"; Applied Economics is a leading peer-reviewed journal in economics and its practical applications. This quarterly journal which began publication in 2009 is from the American Economic Association . It publishes papers on a range of topics in applied economics, particularly empirical microeconomic issues, such as in labor economics, development microeconomics, health, education , demography , empirical corporate finance, empirical studies of trade, and empirical behavioral economics . These journals are published by

1755-449: The proper use of economic theory, divergences that might ultimately reveal the influence of distinct practices as far as applied economics is concerned and the role of institutional environments. Leonard notes one area of disagreement amongst applied economists which became famous in the US. That was the minimum-wage controversy. He notes that the fierceness of this controversy was odd because

1800-470: The rival view of the historical economists, who believed that the goals being pursued by policy makers and the means to pursue them were an integral part of the science of economics, J.N Keynes believed in the desirability of the "English School's" distinction between the discovery of principles and their application (1917, 54). Indeed, it was he who proposed using the phrase "applied economics" instead of "the art of political economy". Keynes further discussed

1845-441: The system. In the absence of evidence from controlled experiments, econometricians often seek illuminating natural experiments or apply quasi-experimental methods to draw credible causal inference. The methods include regression discontinuity design , instrumental variables , and difference-in-differences . A simple example of a relationship in econometrics from the field of labour economics is: This example assumes that

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1890-1261: The true value as the sample size gets larger, and it is efficient if the estimator has lower standard error than other unbiased estimators for a given sample size. Ordinary least squares (OLS) is often used for estimation since it provides the BLUE or "best linear unbiased estimator" (where "best" means most efficient, unbiased estimator) given the Gauss-Markov assumptions. When these assumptions are violated or other statistical properties are desired, other estimation techniques such as maximum likelihood estimation , generalized method of moments , or generalized least squares are used. Estimators that incorporate prior beliefs are advocated by those who favour Bayesian statistics over traditional, classical or "frequentist" approaches . Applied econometrics uses theoretical econometrics and real-world data for assessing economic theories, developing econometric models , analysing economic history , and forecasting . Econometrics uses standard statistical models to study economic questions, but most often these are based on observational data, rather than data from controlled experiments . In this,

1935-835: The unemployment rate. This relationship is represented in a linear regression where the change in unemployment rate ( Δ   Unemployment {\displaystyle \Delta \ {\text{Unemployment}}} ) is a function of an intercept ( β 0 {\displaystyle \beta _{0}} ), a given value of GDP growth multiplied by a slope coefficient β 1 {\displaystyle \beta _{1}} and an error term, ε {\displaystyle \varepsilon } : The unknown parameters β 0 {\displaystyle \beta _{0}} and β 1 {\displaystyle \beta _{1}} can be estimated. Here β 0 {\displaystyle \beta _{0}}

1980-434: The uses of the phrases applied political economy and applied economics noting three different uses: Léon Walras , for example, planned to organize his main work into volumes on "pure", "applied", and "social" economics. Jaffé (1983) describes Walras's plan as involving making a distinction between that which is true, is useful, and is just. In using the term true, Walras referred to propositions that necessarily followed from

2025-411: Was a positive, abstract, deductive science; and that this school made a clear distinction "between political economy itself and its applications to practice" (1917, 12). This school thought that a general body of theory could be established through abstract reasoning – not relying on a wide knowledge of economic facts. From this point of view applying this theory involved making allowances for some of

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