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Zentrum für Europäische Wirtschaftsforschung

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The ZEW - Leibniz Centre for European Economic Research in Mannheim is an economic research institute in the Gottfried Wilhelm Leibniz Science Association (WGL). It is headed by President Achim Wambach and Managing Director Claudia von Schuttenbach. According to the RePEc ranking, ZEW is one of the leading European economic research institutes. Currently, ZEW has 189 employees, 115 of whom are scientists (as of December 31, 2023).

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36-532: ZEW was founded in 1990 and scientific work began on April 1, 1991. The founding directors were Heinz König, Scientific Director, and Ernst-O. Schulze, commercial director. In 2005, the research institute became a member of the Leibniz Association. From 1997 to 2013, Wolfgang Franz was president of ZEW. He was succeeded by Clemens Fuest. Achim Wambach took over as president in April 2016. In organizational terms, ZEW

72-695: 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

108-492: A 1% increase in output per hours worked ( labor productivity ). Okun's law states that a one-point increase in the cyclical unemployment rate is associated with two percentage points of negative growth in real GDP. The relationship varies depending on the country and time period under consideration. The relationship has been tested by regressing GDP or GNP growth on change in the unemployment rate. Martin Prachowny estimated about

144-412: A 3% decrease in output for every 1% increase in the unemployment rate. However, he argued that the majority of this change in output is actually due to changes in factors other than unemployment, such as capacity utilization and hours worked. Holding these other factors constant reduces the association between unemployment and GDP to around 0.7% for every 1% change in the unemployment rate. The magnitude of

180-416: 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)

216-593: 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

252-480: 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

288-593: Is approximately equal to 0. We also assume that Δ Y ¯ Y ¯ {\displaystyle {\frac {\Delta {\overline {Y}}}{\overline {Y}}}} , the growth rate of full-employment output, is approximately equal to its average value, k {\displaystyle k} . So we finally obtain Through comparisons between actual data and theoretical forecasting, Okun's law proves to be an invaluable tool in predicting trends between unemployment and real GDP. However,

324-401: Is difficult to use in practice because Y ¯ {\displaystyle {\overline {Y}}} and u ¯ {\displaystyle {\overline {u}}} can only be estimated, not measured. A more commonly used form of Okun's law, known as the difference or growth rate form of Okun's law, relates changes in output to changes in unemployment: At

360-552: Is divided into seven research areas: And two research groups: ZEW pursues two central goals with its research: The overarching guiding research principle at ZEW is the economic analysis and design of functioning markets and institutions in Europe. The ZEW's expertise lies particularly in the field of applied micro econometrics and computable general equilibrium models. On the one hand, ZEW scientists communicate their research results at scientific conferences and in scientific journals. On

396-461: 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

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432-422: Is generally acceptable by forecasters as a tool for short-run trend analysis between unemployment and real GDP, rather than being used for long run analysis as well as accurate numerical calculations. The San Francisco Federal Reserve Bank determined through the use of empirical data from past recessions in the 1970s, 1990s, and 2000s that Okun’s law was a useful theory. All recessions showed two common main trends:

468-425: 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

504-709: 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

540-549: Is that an increase in labor productivity or an increase in the size of the labor force can mean that real net output grows without net unemployment rates falling (the phenomenon of " jobless growth ") Okun's Law is sometimes confused with Lucas wedge . The gap version of Okun's law may be written (Abel & Bernanke 2005) as: In the United States since 1955 or so, the value of c has typically been around 2 or 3, as explained above. The gap version of Okun's law, as shown above,

576-444: 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

612-429: 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

648-609: The German Research Foundation (DFG) and scientific institutions, 10% from companies and associations and 1% from institutions of the European Union. The urban design was developed by the Mannheim architectural firm #Carlfried Mutschler und Partner Joachim Langner, Christine Mäurer and Ludwig Schwöbel. The architectural design was developed by the successor office of Ludwig Schwöbel and Christine Mäurer. The building received

684-499: 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

720-678: The Good Building Award from the Association of German Architects BDA and the Exemplary Building Award from the Baden-Württemberg Chamber of Architects. It is published in the book series Mannheim und seine Bauten 1907 - 2007 , Volume 3, and in the architectural guide Mannheim. 49°28′55″N 8°27′57″E  /  49.4819°N 8.4658°E  / 49.4819; 8.4658 Econometrics Econometrics

756-707: The accuracy of the data theoretically proved through Okun's law compared to real world numbers proves to be generally inaccurate. This is due to the variances in Okun's coefficient. Many, including the Reserve Bank of Australia, conclude that information proved by Okun's law to be acceptable to a certain degree. Also, some findings have concluded that Okun's law tends to have higher rates of accuracy for short-run predictions, rather than long-run predictions. Forecasters have concluded this to be true due to unforeseen market conditions that may affect Okun's coefficient. As such, Okun's law

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792-471: The choice of assumptions". Okun%27s law In economics , Okun's law is an empirically observed relationship between unemployment and losses in a country's production. It is named after Arthur Melvin Okun , who first proposed the relationship in 1962. The "gap version" states that for every 1% increase in the unemployment rate , a country's GDP will be roughly an additional 2% lower than its potential GDP . The "difference version" describes

828-410: The decrease seems to be declining over time in the United States. According to Andrew Abel and Ben Bernanke , estimates based on data from more recent years give about a 2% decrease in output for every 1% increase in unemployment. There are several reasons why GDP may increase or decrease more rapidly than unemployment decreases or increases: As unemployment increases, One implication of Okun's law

864-493: 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,

900-808: 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

936-453: 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,

972-454: 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

1008-411: 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

1044-455: The left hand side by Y ¯ + Δ Y ¯ Y {\displaystyle {\frac {{\overline {Y}}+\Delta {\overline {Y}}}{Y}}} , which is approximately equal to 1, we obtain We assume that Δ u ¯ {\displaystyle \Delta {\overline {u}}} , the change in the natural rate of unemployment,

1080-407: The most part by funds from the state of Baden-Württemberg and, since 2005, by federal and state funding; this institutional funding amounted to 63% in 2023. Third-party funding (including "other income") accounted for 33%. The remaining 4% are reserves. The Institute's third-party funding derives 56% from the federal government and foreign ministries, 10% from the federal states, 23% from foundations,

1116-599: The other hand, they also pass them on to the public through studies, publication series and further education events. Particular attention is paid to the ZEW's monthly "ZEW Indicator of Economic Sentiment". They are an important early indicator for economic development in Germany. However, the expectations for the Eurozone, Japan, Great Britain and the USA are also surveyed. The ZEW is financed for

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1152-509: The present time in the United States, k is about 3% and c is about 2, so the equation may be written The graph at the top of this article illustrates the growth rate form of Okun's law, measured quarterly rather than annually. We start with the first form of Okun's law: Taking annual differences on both sides, we obtain Putting both numerators over a common denominator, we obtain Multiplying

1188-427: The relationship between quarterly changes in unemployment and quarterly changes in real GDP . The stability and usefulness of the law has been disputed. Okun's law is an empirical relationship. In Okun's original statement of his law, a 2 % increase in output corresponds to a 1% decline in the rate of cyclical unemployment; a 0.5% increase in labor force participation; a 0.5% increase in hours worked per employee; and

1224-441: 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

1260-1251: 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,

1296-835: 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}}

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