Economics is a social science that studies the production, distribution, and consumption of goods and services.
New Keynesian economics is a school of macroeconomics that strives to provide microeconomic foundations for Keynesian economics. It developed partly as a response to criticisms of Keynesian macroeconomics by adherents of new classical macroeconomics.
This aims to be a complete article list of economics topics:
Robert Emerson Lucas Jr. was an American economist at the University of Chicago. Widely regarded as the central figure in the development of the new classical approach to macroeconomics, he received the Nobel Prize in Economics in 1995 "for having developed and applied the hypothesis of rational expectations, and thereby having transformed macroeconomic analysis and deepened our understanding of economic policy". He was characterized by N. Gregory Mankiw as "the most influential macroeconomist of the last quarter of the 20th century". In 2020, he ranked as the 10th most cited economist in the world.
The Chicago school of economics is a neoclassical school of economic thought associated with the work of the faculty at the University of Chicago, some of whom have constructed and popularized its principles. Milton Friedman, and George Stigler are considered the leading scholars of the Chicago school.
Cliometrics, sometimes called 'new economic history' or 'econometric history', is the systematic application of economic theory, econometric techniques, and other formal or mathematical methods to the study of history. It is a quantitative approach to economic history.
Econometrica is a peer-reviewed academic journal of economics, publishing articles in many areas of economics, especially econometrics. It is published by Wiley-Blackwell on behalf of the Econometric Society. The current editor-in-chief is Guido Imbens.
A macroeconomic model is an analytical tool designed to describe the operation of the problems of economy of a country or a region. These models are usually designed to examine the comparative statics and dynamics of aggregate quantities such as the total amount of goods and services produced, total income earned, the level of employment of productive resources, and the level of prices.
Finn Erling Kydland is a Norwegian economist known for his contributions to business cycle theory. He is the Henley Professor of Economics at the University of California, Santa Barbara. He also holds the Richard P. Simmons Distinguished Professorship at the Tepper School of Business of Carnegie Mellon University, where he earned his PhD, and a part-time position at the Norwegian School of Economics (NHH). Kydland was a co-recipient of the 2004 Nobel Memorial Prize in Economics, with Edward C. Prescott, "for their contributions to dynamic macroeconomics: the time consistency of economic policy and the driving forces behind business cycles."
Robert Joseph Barro is an American macroeconomist and the Paul M. Warburg Professor of Economics at Harvard University. Barro is considered one of the founders of new classical macroeconomics, along with Robert Lucas Jr. and Thomas J. Sargent. He is currently a senior fellow at Stanford University's Hoover Institution and co-editor of the influential Quarterly Journal of Economics.
John Brian Taylor is the Mary and Robert Raymond Professor of Economics at Stanford University, and the George P. Shultz Senior Fellow in Economics at Stanford University's Hoover Institution.
Constantine Christos "Costas" Azariadis is a macroeconomist born in Athens, Greece. He has worked on numerous topics, such as labor markets, business cycles, and economic growth and development. Azariadis originated and developed implicit contract theory.
Paul Michael Romer is an American economist and policy entrepreneur who is a University Professor in Economics at Boston College. Romer is best known as the former Chief Economist of the World Bank and for co-receiving the 2018 Nobel Memorial Prize in Economic Sciences for his work in endogenous growth theory. He also coined the term "mathiness," which he describes as misuse of mathematics in economic research.
Dynamic stochastic general equilibrium modeling is a macroeconomic method which is often employed by monetary and fiscal authorities for policy analysis, explaining historical time-series data, as well as future forecasting purposes. DSGE econometric modelling applies general equilibrium theory and microeconomic principles in a tractable manner to postulate economic phenomena, such as economic growth and business cycles, as well as policy effects and market shocks.
David Hibbard Romer is an American economist, the Herman Royer Professor of Political Economy at the University of California, Berkeley, and the author of a standard textbook in graduate macroeconomics as well as many influential economic papers, particularly in the area of New Keynesian economics. He is also the husband and close collaborator of Council of Economic Advisers former Chairwoman Christina Romer.
Macroeconomic theory has its origins in the study of business cycles and monetary theory. In general, early theorists believed monetary factors could not affect real factors such as real output. John Maynard Keynes attacked some of these "classical" theories and produced a general theory that described the whole economy in terms of aggregates rather than individual, microeconomic parts. Attempting to explain unemployment and recessions, he noticed the tendency for people and businesses to hoard cash and avoid investment during a recession. He argued that this invalidated the assumptions of classical economists who thought that markets always clear, leaving no surplus of goods and no willing labor left idle.
Basil John Moore was a Canadian post-Keynesian economist, best known for developing and promoting endogenous money theory, particularly the proposition that the money supply curve is horizontal, rather than upward sloping, a proposition known as horizontalism. He was the most vocal proponent of this theory, and is considered a central figure in post Keynesian economics
Following the development of Keynesian economics, applied economics began developing forecasting models based on economic data including national income and product accounting data. In contrast with typical textbook models, these large-scale macroeconometric models used large amounts of data and based forecasts on past correlations instead of theoretical relations. These models estimated the relations between different macroeconomic variables using regression analysis on time series data. These models grew to include hundreds or thousands of equations describing the evolution of hundreds or thousands of prices and quantities over time, making computers essential for their solution. While the choice of which variables to include in each equation was partly guided by economic theory, variable inclusion was mostly determined on purely empirical grounds. Large-scale macroeconometric model consists of systems of dynamic equations of the economy with the estimation of parameters using time-series data on a quarterly to yearly basis.
