Knowledge (XXG)

Cross-sectional data

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92:, both the presence of an individual in the sample and the time at which the individual is included in the sample are determined randomly. For example, a political poll may decide to interview 1000 individuals. It first selects these individuals randomly from the entire population. It then assigns a random date to each individual. This is the random date that the individual will be interviewed, and thus included in the survey. 53:
For example, if we want to measure current obesity levels in a population, we could draw a sample of 1,000 people randomly from that population (also known as a cross section of that population), measure their weight and height, and calculate what percentage of that sample is categorized as obese.
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This cross-sectional sample provides us with a snapshot of that population, at that one point in time. Note that we do not know based on one cross-sectional sample if obesity is increasing or decreasing; we can only describe the current proportion.
77:), combines both cross-sectional and time series data aspects and looks at how the subjects (firms, individuals, etc.) change over a time series. Panel data deals with the observations on the same subjects in different times. 171: 107:
expenditures of various individuals in a fixed month could be regressed on their incomes, accumulated wealth levels, and their various
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collected by observing many subjects (such as individuals, firms, countries, or regions) at a single point or period of time.
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usually consists of comparing the differences among selected subjects, typically with no regard to differences in time.
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uses panel data to examine changes in variables over time and its differences in variables between selected subjects.
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features to find out how differences in those features lead to differences in consumers’ behavior.
100: 167: 159: 78: 64: 184: 129: 108: 35: 88:, which deals with the observations on the same subjects in different times. In a 59: 17: 69: 31: 43: 166:(Fifth international ed.). New York: McGraw-Hill. pp. 22–28. 67:
entity is observed at various points in time. Another type of data,
162:(2009). "The Nature and Sources of Data for Economic Analysis". 130:"The Rolling Cross Section and Causal Distribution" 8: 128:Brady, Henry E.; Johnston, Richard (2008). 103:of cross-sectional data. For example, the 120: 63:data, in which the same small-scale or 7: 95:Cross-sectional data can be used in 57:Cross-sectional data differs from 25: 48:Analysis of cross-sectional data 135:. University of Michigan Press 1: 86:pooled cross-sectional data 212: 97:cross-sectional regression 191:Cross-sectional analysis 27:Type of statistical data 196:Statistical data types 158:Gujarati, Damodar N.; 90:rolling cross-section 40:cross-sectional data 101:regression analysis 164:Basic Econometrics 84:Variants include 75:longitudinal data 16:(Redirected from 203: 177: 173:978-007-127625-2 145: 144: 142: 140: 134: 125: 21: 211: 210: 206: 205: 204: 202: 201: 200: 181: 180: 174: 160:Porter, Dawn C. 157: 154: 152:Further reading 149: 148: 138: 136: 132: 127: 126: 122: 117: 28: 23: 22: 18:Cross-sectional 15: 12: 11: 5: 209: 207: 199: 198: 193: 183: 182: 179: 178: 172: 153: 150: 147: 146: 119: 118: 116: 113: 79:Panel analysis 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 208: 197: 194: 192: 189: 188: 186: 175: 169: 165: 161: 156: 155: 151: 131: 124: 121: 114: 112: 110: 106: 102: 98: 93: 91: 87: 82: 80: 76: 72: 71: 66: 62: 61: 55: 51: 49: 45: 42:is a type of 41: 37: 33: 19: 163: 137:. Retrieved 123: 94: 89: 85: 83: 74: 68: 58: 56: 52: 39: 36:econometrics 29: 109:demographic 105:consumption 99:, which is 60:time series 185:Categories 115:References 70:panel data 32:statistics 65:aggregate 139:July 13, 170:  133:(PDF) 168:ISBN 141:2008 73:(or 44:data 34:and 30:In 187:: 38:, 176:. 143:. 20:)

Index

Cross-sectional
statistics
econometrics
data
Analysis of cross-sectional data
time series
aggregate
panel data
Panel analysis
cross-sectional regression
regression analysis
consumption
demographic
"The Rolling Cross Section and Causal Distribution"
Porter, Dawn C.
ISBN
978-007-127625-2
Categories
Cross-sectional analysis
Statistical data types

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