Quantitative Analysis

Advanced Economics Topics gives students an introduction on multiple movements such as Jane Jacob’s work and Innovations in the ever changing Urban landscape.

Topics covered

Economics
Empirical Verification
Ecnomies of Agglomeration
Hub Cities and Transport Costs
Urban Land Values
Jacob’s Urban Economics
City Instabilities
Jacobs’ Spectrum of Economic Regions
Innovation

Part 1 – General Information. 4

Why the Apparatus?. 4

Acknowledgements. 4

Who is Charles-Albert Ramsay?. 4

Part 2 – Research Methods Review.. 5

1 – What is Social Science?. 6

2 – How to Build Knowledge Scientifically?. 8

3 – Citing Sources. 12

4 – Research Design. 16

5 – Operationalization. 18

6 – Research Power 21

7 – Sampling. 24

8 – Available Data. 26

9 – RM Synthesis. 28

Part 3 – Crunching Numbers 31

1 – Some Guiding Principles. 32

2 – Interpretation of Data. 33

3 – Characteristics, Populations and Statistics. 37

4 – Basic Calculations. 39

5 – Presenting Data. 44

Part 4 – Using Excel 46

1 – Using the Keyboard. 47

2 – The Pivot-Table. 49

Part 5 – The Distribution of Observations 51

1 – What is a Distribution?. 52

2 – What are Moments?. 55

2 – First Moment: Central Tendency. 56

4b – Midrange. 67

5 – Weighted Mean. 69

6 – Truncated Mean. 71

7 – Second Moment: Dispersion. 73

7b – Why n-1?. 85

8 – Grouped Data. 89

9 – Third Moment: Skew.. 93

10 – Measuring Skewness. 98

11 – Fourth Moment: Tails. 99

Part 6 – Comparing Variables 101

1 – Bivariate Table of Data. 102

2 – Longitudinal Scatter Plots. 105

3 – Bivariate Scatter Plots. 107

3b – Which technique to use to measure association?. 109

4 – Correlation. 110

5 – Coefficient of Determination. 115

6 – Linear Regression. 117

6b – Calculating the Line of Best Fit 123

7 – Bivariate Regression. 124

8 – Multivariate Regression. 131

Part 7 – Basic Tools of Statistical Inference 135

1 – Probabilities. 136

2 – The Normal Curve. 138

3 – Z-Scores. 144

3a – Probabilities Applied to Inference. 150

3b – Quintiles, Deciles, and Percentiles. 151

4 – Central Limit Theorem.. 153

5 – Standard Error of the Mean. 156

6 – Confidence Intervals. 158

6b – Overlapping Confidence Intervals. 163

6c – Optimal Sample Size. 164

Part 8 – Using Inference to Test a Scientific Hypothesis 166

1 – Simple Sample Mean Hypothesis Test 167

2 – Student’s T Curve. 174

3 – Differentiated Sample Hypothesis Test 178

4 – One-Tail or Two?. 184

5 – ANOVA.. 185

6 – Chi-Square Test 187

Part 9 – Revision Sheets 190

Part 10 – A Science Project 194

1 – Defining the Data. 195

2 – Defining Variables and Operationalization. 196

3 – Frequency Tables. 198

Part 11 – Writing a Paper 199

1 – Documenting the Literature Review.. 200

2 – Academic Voice. 201

3 – Quick and Dirty Number Guide. 202

4 – Quick and Dirty Writing Guide. 207

5 – MLA Style. 211

6 – APA Style. 213

7 – Revision Checklist 216

Sample

Course Content

Urban Economics CH 2.2 Hub Cities

Chapter 2 – Cities 2 – Hub Cities and Transport Costs Why Should I Care? - This Lecture Has 2 Parts Transport Costs Criticism - What is a Hub City? Cities are usually transportation hubs. Places where boats and trucks, meet planes and any other mode of transportation....