Econometric Analysis, 5th Edition

Links to Data Tables

Table F1.1	Table F1.1: Consumption and Income, 10 Yearly Observations, 1970-1979 Source: Economic Report of the President, 1987, Council of Economic Advisors C = Consumption and Y = Disposable Income
Table F2.1	Table F2.1: Consumption and Income, 11 Yearly Observations, 1940-1950 Source: Economic Report of the President, U.S. Government Printing Office, Washington, D.C., 1983. Year = Date, X = Disposable Income, C = Consumption. W = War years dummy variable, 1 in 1942-1945, 0 other years.
Table F2.2	The U.S. Gasoline Market, 36 Yearly Observations, 1960-1995 Source: Economic Report of the President: 1996, Council of Economic Advisors, 1996. G = Total U.S. gasoline consumption, computed as total expenditure divided by price index. Pg = Price index for gasoline, Y = Per capita disposable income, Pnc = Price index for new cars, Puc = Price index for used cars, Ppt = Price index for public transportation, Pd = Aggregate price index for consumer durables, Pn = Aggregate price index for consumer nondurables, Ps = Aggregate price index for consumer services, Pop = U.S. total population in millions.
Table F3.1	U.S. Investment Data, 15 Yearly Observations, 1968-1982 Source: Economic Report of the President, U.S. Government Printing Office, Washington, D.C., 1983. CPI 1967 is 79.06. The interest rate is the average yearly discount rate at the New York Federal Reserve Bank. Year = Date, GNP = Nominal GNP, Invest = Nominal Investment, CPI = Consumer price index, Interest = Interest rate.
Table F4.1	Table F4.1: Labor Supply Data From Mroz (1987), 753 Observations Source: 1976 Panel Study of Income Dynamics, Mroz(1987). LFP = A dummy variable = 1 if woman worked in 1975, else 0 WHRS = Wife's hours of work in 1975 KL6 = Number of children less than 6 years old in household K618 = Number of children between ages 6 and 18 in household WA = Wife's age WE = Wife's educational attainment, in years WW = Wife's average hourly earnings, in 1975 dollars RPWG = Wife's wage reported at the time of the 1976 interview (not = 1975 estimated wage) HHRS = Husband's hours worked in 1975 HA = Husband's age HE = Husband's educational attainment, in years HW = Husband's wage, in 1975 dollars FAMINC = Family income, in 1975 dollars WMED = Wife's mother's educational attainment, in years WFED = Wife's father's educational attainment, in years UN = Unemployment rate in county of residence, in percentage points. CIT = Dummy variable = 1 if live in large city (SMSA), else 0 AX = Actual years of wife's previous labor market experience
Table F4.2	Table F4.2: The Longley Data, 15 Yearly Observations, 1947-1962 Source: Longley, (1967). Employ = Employment (1000s), Price = GNP deflator, GNP = Nominal GNP (millions), Armed = Armed forces, Year = Date.
Table F5.1	Table F5.1: Macroeconomics Data Set, Quarterly, 1950I to 2000IV, 204 Quarterly Observations Source: Department of Commerce, BEA website and www.economagic.com Year = Date Qtr = Quarter Realgdp = Real GDP ($bil) Realcons = Real consumption expenditures Realinvs = Real investment by private sector Realgovt = Real government expenditures Realdpi = Real disposable personal income CPI_U = Consumer price index M1 = Nominal money stock Tbilrate = Quarterly average of month end 90 day t bill rate Unemp = Unemployment rate Pop = Population, mil. interpolate of year end figures using constant growth rate per quarter Infl = Rate of inflation (first observation is missing) Realint = Ex post real interest rate = Tbilrate - Infl. (First observation missing)
Table F5.2	Table F5.2: Cost Function, 123 1970 Cross Section Firm Level Observations Source: Christensen and Greene (1976). Note the file contains some extra observations. These are the holding companies. Use only the first 123 observations to replicate Christensen and Greene. Id = Observation, Year = 1970 for all observations Cost = Total cost, Q = Total output, Pl = Wage rate, Sl = cost share for labor , Pk = Capital price index, Sk = Cost share for capital, Pf = Fuel price, Sf = Cost share for fuel
Table F6.1	Table F6.1: Production Data For SIC 33: Primary Metals, 27 Statewide Observations Source and Note: Data are per establishment, labor is a measure of labor input, and capital is the gross value of plant and equipment. A scale factor used to normalize the capital figure in the original study has been omitted. Further details on construction of the data are given in Aigner, et al. (1977) and in Hildebrand and Liu (1957). Obs = Observation number Valueadd = Value added, Labor = Labor input, Capital = Capital stock.
Table F7.1	Table F7.1: Cost Data for U.S. Airlines, 90 Oservations On 6 Firms For 15 Years, 1970-1984 Source: These data are a subset of a larger data set provided to the author by Professor Moshe Kim. They were originally constructed by Christensen Associates of Madison, Wisconsin. I = Airline, T = Year, Q = Output, in revenue passenger miles, index number, C = Total cost, in $1000, PF = Fuel price, LF = Load factor, the average capacity utilization of the fleet.
Table F7.2	Table F7.2: Solow’s Technological Change Data, 41 Yearly Observations, 1909-1949 Source: Solow (1957, p. 314). Several Variables are omitted. year = Date, Q = Output, K = Capital/labor ratio, A = Index of technology.
Table F8.1	Table F8.1: Pesaran and Hall Inflation data. 54 Quarterly Observations Observations Source: Pesaran and Hall (1987) Pa = Actual inflation Pe = Expected inflation
Table F9.1	Table F9.1: Income and Expenditure Data. 100 Cross Section Observations Source: Greene (1992) MDR = Number of derogatory reports Acc = Credit card application accepted (1=yes), Age = Age in years+ 12ths of a year, Income = Income, divided by 10,000 , Avgexp = Avg. monthly credit card expenditure, Ownrent = OwnRent, individual owns (1) or rents (0) home. Selfempl = Self employed (1=yes, 0=no)
Table F9.2	Table F9.2: Statewide Data on Transportation Equipment Manufacturing, 25 Observations Source: A Zellner and N. Revankar (1970, p. 249). Note: “Value added,” “Capital,” and “Labor” are in millions of 1957 dollars. Data used for regression examples are per establishment. Raw data are used for the stochastic frontier application in Chapter 16. State = Observation, ValueAdd = output, Capita = capital input, Labor = labor input, Nfirm = number of firms.
Table F11.1	Table F11.1: Bollerslev and Ghysels Exchange Rate Data, 1974 Daily Observations, Source Bollerslev (1986). Y = Nominal return on Mark/Pound exchange rate, daily
Table F13.1	Table F13.1: Grunfeld Investment Data, 100 Yearly Observations On 5 Firms For 1935-1954 Sources: Moody’s Industrial Manual, Survey of Current Business I = Gross investment, from Moody’s Industrial Manual and annual reports of corporations; F = Value of the firm from Bank and Quotation Record and Moody’s Industrial Manual; C = Stock of plant and equipment, from Survey of Current Business.
Table F14.1	Table F14.1: Manufacturing Costs, U.S. Economy, 25 Yearly Observations, 1947-1971 Source: Berndt and Wood (1975) Year = Date, Cost = Cost index, K = Capital cost share, L = Labor cost share, E = Energy cost share, M = Materials cost share, Pk = Capital price, Pl = Labor price, Pe = Energy price, Pm = materials price.
Table F14.2	Table F14.2: Cost Function Data, 145 U.S. Electricity Producers, 1955 Data; Nerlove Source: Nerlove (1960) and Christensen and Greene (1976) Note: The data file contains several extra observations that are aggregates of commonly owned firms. Use only the first 145 observations for analysis. Firm = Observation, Year = 1955 for all observations Cost = Total cost, Output = Total output, Pl = Wage rate, Sl = Cost share for labor, Pk = Capital price index, Sk = Cost share for capital, Pf = Fuel price, Sf = Cost share for fuel
Table F15.1	Table F15.1: Klein’s Model I , 22 Yearly Observations, 1920-1941 Source: Klein (1950). Year = Date, C = Consumption, P = Corporate profits, Wp = Private wage bill, I = Investment, K1 = previous year’s capital stock, X = GNP, Wg = Government wage bill, G = Government spending, T = Taxes.
Table F16.1	Table F16.1: Bertschek and Lechner Binary Choice Data, Yearly Data 1993-1998 on 1,270 Firms Source: Bertcshek and Lechner (1998) Note: These data are proprietary. They are not listed on the website. yit = 1 if firm i realized a product innovation in year t and 0 if not. xit1 =constant term, xit2 = log of sales, xit3 = relative size = ratio of employment in business unit to employment in the industry, xit4 = ratio of industry imports to (industry sales + imports), xit5 = ratio of industry foreign direct investment to (industry sales + imports), xit6 = productivity = ratio of industry value added to industry employment, xit7 = dummy variable indicating firm is in the raw materials sector, xit8 = dummy variable indicating firm is in the investment goods sector.
Table F18.1	Table 18.1: Dahlberg and Johanssen - Municipal Expenditure Data, Data From 265 Municipalities for 9 Years, 1979-1987, 2385 Observations Source: Dahlberg and Johanssen (2000), Journal of Applied Econometrics data archive. ID = Identification Year = Date Expend = Expenditure Revenue = Revenue from taxes and fees Grants = Grants from Central Government
Table F20.1	Table F20.1: Bond Yield on a Moody’s Aaa Rated, Monthly, 60 Monthly Observations, 1990-1994. Source: National Income and Product Accounts, U.S. Department of Commerce, Bureau of Economic Analysis, Survey of Current Business: Business Statistics Date = Year.Month Y = Corporate bond rate in percent/year
Table F20.2	Table F20.2: Money, Output, And Price Deflator Data, 136 Quarterly Observations, 1950-1983. Source: National Income and Product Accounts, U.S. Department of Commerce, Bureau of Economic Analysis, Survey of Current Business: Business Statistics, Y = Nominal GNP, M1 = M1 measure of money stock, P = Implicit price deflator for GNP
Table F21.1	Table F21.1: Program Effectiveness, 32 Cross Section Observations Source: Spector and Mazzeo (1980). Obs = observation, TUCE = Test score on economics test, PSI = participation in program, GRADE = Grade increase (1) or decrease (0) indicator
Table F21.2	Table F21.2: Data Used to Study Travel Mode Choice, 840 Observations On 4 Modes For 210 Individuals. Source: Greene and Hensher (1997). Mode = choice; Air, Train, Bus, or Car, Ttme = terminal waiting time, 0 for car Invc = in vehicle cost - cost component, Invt = travel time, in vehicle, GC = generalized cost measure, Hinc = household income, Psize = party size in mode chosen.
Table F21.3	Table F21.3: Ship Accidents, 40 Observations On 5 Types In 4 Vintages And 2 Service Periods Source: McCullagh and Nelder (1983). Type = Ship type, TA, TB, TC, TD, TE = Type indicators, Y6064, Y6569, Y7074, Y7579 = Year constructed indicators, O6064, O7579 = Years operated indicators, Months = Measure of service amount, Acc = Accidents.
Table F21.4	Table F21.4: Expenditure and Default Data, 1319 observations Source: Greene (1992) Cardhldr = Dummy variable, 1 if application for credit card accepted, 0 if not Majordrg = Number of major derogatory reports Age = Age n years plus twelfths of a year Income = Yearly income (divided by 10,000) Exp_Inc = Ratio of monthly credit card expenditure to yearly income Avgexp = Average monthly credit card expenditure Ownrent = 1 if owns their home, 0 if rent Selfempl = 1 if self employed, 0 if not. Depndt = 1 + number of dependents Inc_per = Income divided by number of dependents Cur_add = months living at current address Major = number of major credit cards held Active = number of active credit accounts
Table F22.1	Table F22.1: Strike Duration Data, 63 Observations In 9 years, 1968-1976 Source: Kennan (1985). Year = Date, T = Strike duration in days. Prod = Unanticipated output,
Table F22.2	F22.2 Fair’s (1977) Extramarital Affairs Data, 601 Cross Section observations. Source: Fair (1977) and http://fairmodel.econ.yale.edu/rayfair/pdf/1978ADAT.ZIP. Several variables not used are denoted X1, ..., X5.) y = Number of affairs in the past year, z1 = Sex, z2 = Age, z3 = Number of years married, z4 = Children, z5 = Religiousness, z6 = Education, z7 = Occupation, z8 = Self rating of marriage.
Table FD.1	Table FD.1 Observations on Income and Education, 20 Observations Source: Data are artificial. I = Observation, Y = Income,