This course provides an introduction to the basic concepts and tools of micro and macro economic analysis of individuals, businesses, and government in the global world. Topics may include consumers, producers, market structures, national income accounting, unemployment, and inflation.
This course provides an introduction to microeconomic analysis relevant for understanding the Canadian economy. The behaviour of individual consumers and producers, the determination of market prices for commodities and resources, and the role of government policy in the functioning of the market system are the main topics covered.
This course introduces students to the measurement and behaviour of key macroeconomic variables both in Canada and around the world. Topics include national accounts, inflation, interest rates, wages, international balance of payments, business cycles, growth, employment, unemployment, poverty, and inequality.
ECON 201Microeconomic Theory for Business and Policy0.50 units
This course offers an introduction to the theory of market based economies. Topics include consumer choice, production, price and output under perfect and imperfect competition, price discrimination and two part pricing, vertical and horizontal firm boundaries and integration, and market structure.
This course offers an overview of the functioning of the financial system both in Canada and abroad. It includes discussions of money and inflation, financial assets, and financial institutions and intermediaries.
ECON 207Economic Growth and Development 10.50 units
This course offers an overview of the enormous differences in living standards across countries and over time, and it considers how these can be traced to differences in economic productivity, investment, population, natural resources, government, inequality, and culture.
ECON 211Introduction to Mathematical Economics0.50 units
An introduction to mathematical techniques of particular use in economics. Topics include matrix algebra, differentation, partial derivatives, optimization techniques including constrained optimization - all developed within the context of economic problems.
Game theory analyzes the strategic interaction between agents. It has applications in various fields including economics, law, political science, biology, and computer science. This course introduces the basic tools of game theoretic analysis and examines applications such as auctions, business strategy, and curbing carbon emissions. The course includes an experiential learning component where students play strategic games against each other.
This course introduces students to describing economic data and drawing inferences from features of economic data. Starting from fundamental axioms of probability, students will learn about the calculation of probabilities of basic events and the features of random variables, the most important tool for representing the outcomes of complex economic phenomena. Students will describe discrete and continuous random variables via their probability distributions and summary statistics such as means and standard deviations, as well as the relationships between two random variables in terms of covariance, correlation, and simple regression models. The concepts of hypothesis testing and confidence intervals, and the fundamentals of statistical inference are discussed for basic features of random variables and for comparing the features of more than one random variable.
ECON 231Introduction to International Economics0.50 units
This course explores international trade in goods and services, as well as the international exchange of financial assets. Economic theories will be examined, which help explain how international transactions affect the world's economies. Topics include the theory of comparative advantage and the gains from trade, tariff theory, concepts and measurement of balance of payments, exchange rate systems, and the international monetary system.
ECON 241Introduction to Public Economics0.50 units
This course examines the scope and level of government involvement in economic activity. The main focus is on historical trends and recent developments in the extent and composition of government spending, taxation, and regulation in developed nations. A secondary focus is to introduce the current policy debates in these areas.
The course will develop fundamental economic concepts in the context of the sports industry. The course begins with an investigation of some of the primary aspects of the way that the sports industry is organized. The course then considers labour economics in the context of sport. Finally, the course examines the issues that arise with the introduction of various levels of government and/or regulatory bodies in the sports industry, looking at competition between cities for sports teams.
ECON 255Introduction to Environmental and Natural Resource Economics0.50 units
This course uses economic theory to explore environmental and natural resource management problems. The meaning and implications of resource scarcity and common property ownership are explored, as well as how the insights of economics can be used to guide policies to promote a more sustainable path for our future. The course examines issues of economic efficiency and equity in specific resource sectors such as energy resources, fisheries, forestry, and water.
ECON 256Introduction to Health Economics0.50 units
Why are some people healthy and others not? Why is health different from other goods and services? How do the many stakeholders interact in health care markets? Why do countries have different health care systems? This course introduces students to how the theories and tools of economics can be used when examining health, health care, and health care policies. Concepts such as supply and demand, uncertainty, and utility will be introduced in the context of health and health care markets. While international institutions may be discussed, the course will emphasize Canadian health care markets.
This course considers conceptual, methodological, foundational, and ethical issues in economic theory and practice. Questions include: What can philosophy teach us about economic methodology and justification? Are economic formalizations useful idealizations of human behaviour? Is economics a science? What role do values play in economic reasoning and policy-making?
This course studies approaches to economic problems in historical context. Authors examined may include Smith, Malthus, Ricardo, Marx, J.S. Mill, Walras, Marshall, Veblen, Keynes, Hayek, Aumann, Debreu, and Stiglitz.
ECON 290Models of Choice in Competitive Markets0.50 units
Choice lies at the heart of all economic models. This course focuses on choice by consumers and firms. It explains the notion and use of utility functions and budgets, and shows how their interaction allows economists to make predictions about behaviour. The constrained maximization techniques from ECON 211 are used extensively, and extended to situations covering uncertainty (risk) and time. Profit maximization by firms is explored.
This course introduces students to the analysis of inter-temporal trade-offs in macroeconomics and macroeconomic policy. Its main objective is to show how economists use economic theory to analyze the role of incentives and general equilibrium considerations in the macro-economy. Applications include national savings and investment, business cycles, and monetary and fiscal policy.
This course builds on and expands the material in ECON 211. Multi-variate calculus and optimization are covered in detail, with a focus on economic applications of the envelope theorem. The implicit function theorem and its uses in comparative statics are explored. Difference and differential equations and their application to dynamic models are introduced, culminating in an introduction to optimal control.
Prerequisites
Complete 1 of the following
Complete all of the following
Must have completed the following:
ECON201 - Microeconomic Theory for Business and Policy (0.50)
ECON211 - Introduction to Mathematical Economics (0.50)
This course covers the core topics needed to estimate linear models using ordinary least squares and to interpret estimates for cross-sectional data. Students will learn to interpret the coefficients of linear models for continuous and discrete regressors, to conduct reliable inference for different specifications of the error term, and to determine which model is the most suitable among the class of linear models. Students will be introduced to a statistical software package and will be required to complete regular computer-based assignments throughout the course using economic data.
This course covers the most important methods used in applied economics research beyond the least-squares estimator. It starts by exploring solutions to the endogeneity problem in detail, emphasizing proper ways of conducting causal inference. It extends the methods covered in ECON 322 to the case in which the data are observed over time. Students will learn how to estimate and interpret dynamic models and how these models affect our ability to do inference. The course also covers methods for data in which the response variable is either qualitative, with or without multiple levels, or count data. For that purpose, it introduces students to maximum likelihood estimation, and the estimation of models by probit, logit, and Poisson regressions. Assignments have the same data-based focus as in ECON 322.
An analysis of the main issues in international finance. Topics include international borrowing and lending, intertemporal gains from trade, current account and balance of trade movements, the determination of exchange rates, and foreign exchange markets.
A study of the supply of labour by individuals (and unions) and the demand for labour by firms. Topics include the labour market effects of social assistance, unemployment insurance and minimum wages, discrimination in the labour market, efficient wage contracts, the determinants of wage inflation and unemployment.
ECON 361Cost-Benefit Analysis and Project Evaluation0.50 units
Methods for evaluating private and public projects; decision rules, efficiency conditions, and methods of conducting cost-benefit analysis. Application of the technique. This course assumes prior familiarity with probability, expected values, and variance.
Prerequisites
Complete all of the following
Must have completed at least 1 of the following:
ECON201 - Microeconomic Theory for Business and Policy (0.50)
ECON290 - Models of Choice in Competitive Markets (0.50)
ECON 363The Economics of Social Problems0.50 units
A topic-oriented course. Problems are selected from a list that includes regulatory economics, poverty, unemployment, industrial policy, safety, social policy, government deficits/debt, stabilization policy, and others. The format assists the student in gaining analytical skills through work on the selected topics.
This course explores historical trends and economic theories and models to investigate the development of gender norms and changes in those norms across time. It questions whether physiological differences, economic models (e.g., comparative advantage, specialization, or discrimination) or social constructs can explain gender differences in roles within the family, education, work, pay, and poverty and the changes in these differences across time. Social policies designed to diminish gender differences will be scrutinized. Some topics/questions that may be addressed include the rise in labour force participation of women post World War II; occupational and wage differences between men and women; changing educational attainment; and how men and women make decisions regarding marriage, fertility, child care, elder care, and divorce.
The course explores decisions faced by managers of firms. In particular, decision-makers must determine which long-term real investment opportunities to exploit. Once undertaken, managers must decide how to finance the projects, for example, by debt or equity. The course develops both the conceptual framework and the tools required for these decisions. The course assumes prior familiarity with probability, expected values, and variance.
This course examines a number of topics relevant to financial practitioners. The topics examined may include options, derivatives securities, futures markets, swaps and hedging. The course assumes prior familiarity with probability, expected values, and variance.
Central to the study of economics is the concept of an equilibrium in which the actions of individuals are not only individually optimal, but are also consistent with each other; such as when the total amount of a good that individuals wish to purchase equals the total amount available. This course introduces students to the notion of equilibrium for a market and market economy. The properties of such equilibria are explored, both in terms of model logic (existence, uniqueness) as well as in terms of the desirability of the equilibrium outcomes (efficiency, welfare). Partial equilibrium (in a single market) as well as general equilibrium (in all markets at once) are covered for models with endowments, production, uncertainty, and time.
Prerequisites
Must have completed the following:
ECON290 - Models of Choice in Competitive Markets (0.50)
ECON 392Strategic Situations and Welfare Economics0.50 units
Many economic decisions are made in circumstances where there are no competitive markets. This course introduces students to individual and group choice in such settings. It covers how to model such settings as "games" in both the extensive and strategic form, and introduces the key equilibrium concepts associated with these models. An introduction to considerations in group decision making via co-operative game theory and welfare economics is provided in the last part of the course.
Prerequisites
Must have completed the following:
ECON290 - Models of Choice in Competitive Markets (0.50)
This course explores the many ways in which the assumptions of the perfectly competitive model are violated in the real world, and the consequences of these market failures for consumers and firms. The course examines potential government intervention to "fix" the failures as well as the limits of government intervention. Topics include monopoly/monopsony, externalities, the tragedy of the commons, public goods, asymmetric information, and incomplete information.
This course examines the monetary and financial aspects of the macro-economy. It prepares students to conduct analyses of problems and policies in monetary economics. Topics may include analyses of the banking system, financial crises, and monetary policy.
ECON 407Economic Growth and Development 20.50 units
The goal of this course is to understand the enormous differences in living standards across countries and over time. It uses economic analysis to understand the sources of investment and innovation, and the role of economic, social, and political institutions in economic growth and development.
This course prepares students to conduct analyses of problems and policies associated with macroeconomic fluctuations. It examines the empirical features of business cycles, and discusses how macroeconomic models help to understand business cycles and to assess the consequences of alternative macroeconomic policies.
This course examines the role of labour markets in the macro-economy. It focuses on the analysis of aggregate employment, unemployment, labour force participation, and earnings inequality. The main goal of the course is to understand current labour-market outcomes both in Canada and around the world.
This course builds on ECON 392 to give students a broader exposure to game theory. Possible topics include extensive games with imperfect information, evolutionary games, repeated games, as well as applications of game theory such as auctions and negotiations.
Prerequisites
Complete all of the following
Must have completed the following:
ECON392 - Strategic Situations and Welfare Economics (0.50)
This course offers an advanced treatment of topics covered in ECON 322/323 through the extensive use of matrix algebra, statistical theory and numerical methods. After a review of the required mathematics, these tools will be used to derive the least-squares estimator for the standard linear model and to conduct inference about features of the model, checking the results of theory using regression software and economic data. Then this framework will be used for theoretical generalizations of the model and their estimation using regression software. By the end of the course, students will be able to estimate a linear model and conduct accurate inference in cases where economic data violate the assumptions of the standard linear regression model. This includes methods for dealing with heteroskedastic data, observations that may be dependent over time, response distributions with heavy tails or limited range (such as binary outcomes and count variables), and observations that may suffer from selection bias.
This course investigates advanced estimation and inference techniques for microeconomic data. Students will learn about error components models that are used for economic data that exhibits significant unobserved heterogeneity. The estimation of treatment effects using fixed effects and difference-in-differences methods will be covered, and design-based methods of causal inference such as matching and regression discontinuity may be covered as well. Extensions such as multilevel or hierarchical models, limited dependent variable models, duration models or selection models may also be included. Students also learn how to apply these methods using computer software, and will use it to analyze complex data from household and firm-level surveys in assignments.
Prerequisites
Complete all of the following
Must have completed at least 1 of the following:
ECON201 - Microeconomic Theory for Business and Policy (0.50)
ECON290 - Models of Choice in Competitive Markets (0.50)
This course introduces students to popular methods and practices of analyzing data that exhibit dependence over time. The topics may cover fundamental linear time series models (autoregressive processes, moving average processes and their generalizations), modelling time-varying volatility (the autoregressive conditional heteroskedasticity or ARCH family of models and stochastic volatility models), multivariate time series analysis, non-stationary models, and ongoing topics in modern time series econometric research. The course is designed to balance the introduction of statistical theory and applications with empirical data. A main component of this course consists of practical exercises and an empirical project with real data.
This course is an introduction to prediction in economics using machine learning. Topics may include supervised and unsupervised learning, text analysis, regression trees, penalized regression, classification, random forest, neural network, and boosting methods.
An examination of theories of international trade. Topics include the gains from trade, theories of trade determination (Ricardian, Heckscher-Ohlin, increasing returns to scale), the effects of tariffs, multinational corporation behaviour, and factor mobility.
This course examines how spatial relationships inform many economic behaviours, and contribute to urban development and inequality. Topics include how geography, cumulative investments, and state structures influence the spatial distribution of economic activity.
This course examines to what extent government spending, taxation, and regulation policies in developed nations are driven by economic rationales for government involvement in economic activity. Both efficiency and distributional rationales are considered. Examined areas of government spending include education, pensions, infrastructure, health care, science, innovation, and social welfare programs. Examined areas of the tax structure include personal income taxes, corporate taxes, consumption taxes, and environmental taxes. Examined areas of regulation may include topics such as alcohol, organ transplants, and gasoline standards. A key aim of the course is to generate an appreciation of how theories of market failure guide public policy.
In this course students will learn how to apply the tools of economic analysis to the study of political phenomena. Topics include voting behaviour, partisan competition and polarisation, electoral accountability, bureaucracy, lobbying, the politics of redistribution, and non-democratic policy making. Both theoretical and empirical approaches can be considered.
ECON 445Industrial Organization and Public Policy0.50 units
This course analyzes the structure of markets and how firms compete in them. The emphasis is on oligopoly markets and the use of game theory. The course focuses on differentiated goods, price discrimination, barriers to entry, vertical relationships, advertising, strategic behaviour, and empirical industrial organization including the estimation of demand and costs. Applications to competition policy emphasizing the evaluation of horizontal mergers are presented as well.
Legal rules and jurisprudence can have a significant effect on resource allocation. A key question is whether legal regimes affect the optimality of an equilibrium and succeed in bringing society closer to a welfare maximizing outcome. From another perspective, a relevant question is on the objective or motivation behind the enactment of specific legislation. Recent studies suggest that much legislation is consistent with simple welfare concepts developed by economists. The course focuses on these issues with examples drawn from property, contract, tort, and criminal law.
Prerequisites
Complete all of the following
Complete 1 of the following
Must have completed the following:
ECON201 - Microeconomic Theory for Business and Policy (0.50)
ECON211 - Introduction to Mathematical Economics (0.50)
This course presents an overview of the relevant theoretical and empirical research questions related to employment relationships (pay, mobility, workplace organization). The course will offer a combination of tools (theoretical or statistical) and applications of these tools to various topics. Each topic addresses research questions for which we will see the associated seminal papers and more recent papers providing the latest findings on the given topic. The findings may come from new theoretical arguments, data improvement and/or finer methodological tools, all offering a way to better address the question.
This course explores the theories and models developed to study the health and health-care sectors from an economic viewpoint. The course will focus on the economic tools necessary to evaluate the efficiency of the market for, and the efficient allocation of scarce resources in, health and health care. Examples of possible topics to be covered are the nature of the market, supply and demand of health care, asymmetries of information, externalities, principal-agent relationships, insurance, and cost-benefit analysis.
Application of economic theory to problems of the environment, in particular, air, water, and land pollution. Emphasis is on the theory of the management of common property resources.
The course combines water economic theory and practice, addressing major global water challenges such as climate change, water scarcity, flood risks, water quality, and resource recovery in a circular economy. Particular attention will be paid to water resource valuation and water pricing. Students will play water games and write an economic assessment paper about the costs and benefits of water, food, and energy security related to large-scale water infrastructure such as dam building in a transboundary river basin.
The course begins with an examination of the processes of state formation, trade, migration, borrowing, and transfer of technologies and institutions that contributed to the development of a settler colonial economy. It will study how the internal economic geography of Canada was differentiated, and how the economy modernized through changes in market and business organization and state development. An overarching concern will be with how a national economy could be articulated.
Students are required to identify a research topic, conduct research independently, write a research paper, and attend class meetings. Each student is supervised by a member of the Economics faculty. Class meetings cover topics such as a general overview of research methods in economics, research ethics, finding reference material, citing practices, and effective writing and presentation.
ECON 474Numerical Methods for Economists0.50 units
In this course students learn about topics in scientific computing that arise when economic models are implemented numerically. The topics may include floating point arithmetic, nonlinear equations, constrained and unconstrained optimization, numerical derivatives and numerical integration, differential equations, and dynamic models.
This course prepares students for graduate-level theory courses. Students will be exposed to a selection of topics treated with the mathematical rigour required for graduate work.
Prerequisites
Complete all of the following
Must have completed the following:
ECON392 - Strategic Situations and Welfare Economics (0.50)
This course provides students with the methodological principles that underlie modern analyses of the macro-economy, and to prepare students for graduate-level macroeconomic theory courses.
This course is designed to review the basic mathematical background that incoming masters and doctoral students will need for their core economics and econometrics courses.
This course for MA students examines the monetary and financial aspects of the macro-economy. Its main purpose is to prepare students to conduct analyses of problems and policies in monetary economics. Topics may include the link between monetary policy and output, the economic cost of aggregate fluctuations, the costs and benefits of price stability, the role of central banks and the banking system.
This course focuses on increasing students' understanding of the roles of economic theory and empirical methods and on the development of skills in the critical analyses of economic research. Through reading a variety of research papers and attending seminars, students will gain exposure to different research methodologies used in economics. Students will learn how to synthesize and critique research on a particular topic by writing reviews of academic papers and/or research reports from government and non-governmental agencies, as well as by writing a paper such as literature survey on an assigned topic. Students will enhance their writing skills and will also gain practice in presenting a research paper.
This course covers the techniques, and associated coding, required to compile, manage, manipulate and describe economic data. Topics may also include recent data generation and data description techniques including data visualization, text analysis, unsupervised learning techniques, and an introduction to numerical analysis.
Specification and estimation of the linear regression model. Departures from the Gauss-Markov assumptions include heteroskedasticity, serial correlation, and errors in variables. Advanced topics include generalized least squares, and simultaneous equations/instrumental variables. They may also include nonlinear regression, and limited dependent variable models. Some or all of the problem sets involve working with the computer.
This course provides an introduction to the analysis of microdata - data in which the unit of analysis in an individual decision-maker, such as a consumer, worker, or firm. The course familiarizes students with the various types of microdata structures and draws links between theoretical economic models and statistical models. It devotes considerable attention to analytical techniques for describing univariate and bivariate distributions, including the use of kernel density estimators and scatterplots. The course addresses statistical inference using multivariate regressions, covering a series of techniques and issues of particular significance in the analysis of microdata. Examples include Monte Carlo methods; bootstrapping; the use of sampling weight; omitted variable bias; measurement error; and instrumental variables. Completion of an empirical project is a course requirement.
This course introduces students to methods and practices of analyzing data that exhibit dependence over time. The topics may cover fundamental linear time series models (autoregressive processes, moving average processes and their generalizations), modelling time-varying volatility (the autoregressive conditional heteroskedasticity or ARCH family of models and stochastic volatility models), multivariate time series analysis, non-stationary models, and ongoing topics in modern time series econometric research.
ECON 625Numerical Methods for Economists0.50 units
The course covers important topics related to scientific computing through applications in either microeconomics, macroeconomics or economics. The topics include: floating point arithmetic, nonlinear equations, optimization, numerical derivatives and numerical integration, differential equations, and simulation of dynamic models.
This course explores a variety of machine learning methods used to analyze complex economic data and inform policy decisions. The course introduces students to predictive methods and exploratory data analysis for high-dimensional data. These methods, such as decision trees and neural networks, are applied to observational data with an emphasis on the analysis of large and/or complex datasets of interest to social scientists and policy makers
ECON 627Econometrics of High Dimensional Data0.50 units
Estimation of econometric models using automatic model selection and dimension reduction techniques, with emphasis on estimation of the causal effects of economic policies. Methods may include Lasso and related estimators, principal components, regression trees or forests, and double/debiased machine learning. These methods may be used with conditional ignorability assumptions in linear models, directed acyclic graphs, or structural equation models to estimate heterogeneous treatment effects with economic data.
This course presents classical and new international trade theories and discusses selected topics representative of recent empirical research. Theory, extensions, applications and empirical tests of models such a Ricardian, Hecksher-Ohlin, increasing returns to scale and imperfect competition, political economy, heterogeneous agents (Melitz) will be covered. Additional elective topics include trade and environment; economic geography; trade, aid and development; trade and conflict; trade and growth.
ECON 637Economic Analysis and Global Governance0.50 units
This course demonstrates the usefulness of economic analysis to the study of global governance. Topics include the economic analysis of international trade, foreign direct investment, and international finance. Students with more advanced economics background (as a minimum, at least one economics course above the 100 level that focused on international economics or an equivalent applied course such as development economics, environmental economics) are recommended to replace 637 with one of a list of courses, including internationally oriented economics courses, some of the PSCI international political economy courses, or Faulty of Environment courses that include significant international political economy content.
This course studies the economic role of the public sector in a market economy. Topics may include the provision of public goods, externalities and public choice, analysis of the growth in government spending, the design of tax systems, international aspects of taxation, and fiscal federalism.
This course introduces students to the role of economics in health care and health policy. It is meant to be a survey of major topics in health economics and an introduction to the ongoing debate over health care policy. Topics include the economic determinants of health and health policy, the market for medical care, the market for health insurance, and the role of the government in health care, and health care reform.
This course studies firm behaviour in markets that are imperfectly competitive and the differences in industry equilibrium relative to perfect competition. Topics may include market structure, the theory of the firm, differentiated products, price discrimination, advertising, barriers to entry, and strategic behaviour as well as policy implications.
This course studies the incentives to innovate and how institutions and public policy shape these incentives. Topics may include the nature of ideas and innovation, intellectual property rights, technology clusters, knowledge spillovers and diffusion, whether immigration contributes to innovation, and the impact of artificial intelligence.
The economics of renewable and non-renewable resources in a Canadian context. Problems peculiar to the fisheries, forestry, mineral industries and oil and gas production and consumption are analyzed. Also considered are economic and constitutional issues arising from the uneven distribution of resource rents in Canada.
This course will review the application of the tools and theory of economics to environmental problems. The normative foundations of economic analysis will be discussed including efficiency, intergenerational equity and sustainability. The design and implementation of environmental policy will be analyzed including the use of command and control regulation, market-based instruments, and legal liability. Applications to various environmental issues may include global warming, trans-boundary pollution, and trade and the environment.
The course combines water economic theory and practice, addressing major global water challenges such as climate change, water scarcity, flood risks, water quality, and resource recovery in a circular economy. Particular attention will be paid to water resource valuation and water pricing. Students will play water games and write an economic assessment paper about the costs and benefits of water, food and energy security related to large-scale water infrastructure such as dam building in a transboundary river basin.
ECON 659Real Options and Investment under Uncertainty0.50 units
This course considers the application of option concepts from finance to value real assets. The focus is on using real options theory and methodology to value investments characterized by uncertainty, irreversibility, and flexibility in the timing of irreversible expenditures. The course begins with an introduction to stochastic processes, Ito's Lemma, the Black-Scholes equation, contingent claims analysis and dynamic programming. Methods to solve simple option value problems will be presented, such as binomial trees and Monte Carlo simulation. Applications will focus on problems in natural resource and environmental economics, such as valuing the option to drill for oil or install pollution control equipment and, time permitting, other applications in economics.
This course builds on the models and the techniques developed in Microeconomic Theory I. Topics may include general-equilibrium analysis, game theory, the economics of information, mechanism design and applications of bargaining theory to the theory of markets.
ECON 703Advanced Macroeconomics: Problems and Policies0.50 units
This is a research-oriented course in macroeconomics. Topics may include issues in economic growth and development, economic inequality, fiscal policy, labour market policy, and business cycles.
This course for PhD students examines the monetary and financial aspects of the macro-economy. Its main purpose is to prepare students to conduct analyses of problems and policies in monetary economics. Topics may include the link between monetary policy and output, the economic cost of aggregate fluctuations, the costs and benefits of price stability, the role of central banks and the banking system.
Antirequisites
Not completed nor concurrently enrolled in any of the following:
The course provides a rigorous treatment of more advanced topics in econometrics. They include system of equations, simultaneous equations, generalized method of moments, empirical likelihood, vector autoregression and dynamic models, time series models and methods, discrete dependent variables, and limited dependent variables.
This course reviews identification strategies used in the analysis of cross-sectional and longitudinal microdata. Techniques primarily come from applications in labour economics, health economics and industrial organization. These may include fixed and random effects models, duration analysis, instrumental variables estimators, nonparametric and semi-parametric analysis, decomposition techniques, quantile regression, difference-in-difference estimators, propensity score matching and regression discontinuity design. The primary objectives of the course are to familiarize students with current methods used in microeconometric research and provide them with hands-on experience applying these methods using an appropriate statistical software package.
This course covers some of the most important concepts, models and methods used in the empirical analysis of macroeconomic problems. In particular the course covers established time series techniques as well as more recent developments such as testing for unit roots, measurement of the persistence of shocks and estimation and hypothesis testing in cointegrated systems. Several dynamic models will be studied using time series analysis methods. Topics covered include basic concepts in time series analysis (modelling volatility and trend), VAR Modes (including structural VAR's), VECM and Cointegration, neural networks and estimation of DSGE models. During the course, students will have the opportunity to explore several case studies using econometric software such as RATS and MATLAB.