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NEAS
NEAS
posted 14 Years Ago
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Supreme Being
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Note the clear seasonality; why is chocholate production high in Feb through May? One might have thought that chocolate production is high In Nov and Dec, but these are the low months.
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VEE Exam Course: Corporate Finance
Updates
Registration
Benefits of online course
Course scheduling
Introduction
Materials
Homework assignments
Final exam
Questions
Module 1: Present value and the opportunity cost of capital
Module 2: Calculating present values
Module 3: Value of common stocks
Module 4: Net present value vs other valuation models
Module 5: Investment decisions and net present value
Module 6: Risk, return, and the opportunity cost of capital
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Module 8: Capital budgeting and risk
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FA Mod 13: Deferred taxes assets and liabilities
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VEE Exam Course: Microeconomics
Updates
Registration
Benefits of online course
Course scheduling
Introduction
Materials
Homework assignments
Final exam
Questions
Module 1: Consumer's Demand, Producer's Supply, and Equilibrium
Module 2: Prices, costs, and the gains from trade
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Module 5: The behavior of firms
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Module 12: Price discrimination
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Module 17: Externalities: Pigou and Coase
Module 18: Externalities: transaction costs, law and economics
Module 19: Common property and public goods
Module 20: The demand for factors of production
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Module 22: Wages and discrimination
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Textbook
Syllabus
Homework assignments
Course questions
Final exam
Macro practice exam questions
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Macro Module 2: Economic Growth
Macro Module 3: Growth Models
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Registration
Course scheduling
Introduction
Materials
Homework assignments
Questions
Final exam
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Fox Module 2 Basics of regression analysis
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Fox Module 4 Bivariate displays
Fox Module 5 Multivariate displays
Fox Module 6 Transforming data
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Fox Module 10 Advanced multiple regression
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Fox Module 20 Collinearity
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Regression Analysis Student Project Samples
Project Template: Sports Won-Loss Statistics
Other Ideas: Parameter Stability and Heteroscedasticity
Student Projects: Read First (Basic Information)
RA student project questions
VEE Exam Course: Time Series Cryer Chan text
Registration
Materials
Introduction
Homework assignments
Course scheduling
Final exam
Questions
TS Module 1 Time series overview
TS Module 2 Time series concepts
TS Module 3 Trends
TS Module 4 Regression methods
TS Module 5 Stationary moving average processes
TS Module 6 Stationary autoregressive processes
TS Module 7 Stationary mixed processes
TS Module 8 Non-stationary time series basics
TS Module 9 Non-stationary ARIMA time series
TS Module 10 Autocorrelation functions
TS Module 11 Simulated and actual time series
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TS Module 13 Parameter estimation least squares
TS Module 14 Model diagnostics
TS Module 15 Forecasting basics
TS Module 16 ARIMA Forecasting
TS Module 17 Forecasting bounds
TS Module 18 Forecast updates and weights
TS Module 19 Seasonal models basics
TS Module 20 Seasonal models advanced
TS Module 21 Building an ARIMA process
TS Module 22 Student projects interest rates
TS Module 23 Student projects sport statistics
TS Module 24 Student projects weather and demographics
VEE Time Series Student Project
Web Sites and Data Questions
Student Project Samples
Indices for TS Student Projects
Interest Rates
Time Series Project Templates
Student Project General: Introduction, Write-up, Grading (Read First)
ARIMA Modeling
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