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Using the data in FishForFinal.xlsx, estimate the following equation (and name it: M.1). F, = f (PF,PB,, In Yd,,P)+&, where: F = average (per capita)
Using the data in FishForFinal.xlsx, estimate the following equation (and name it: M.1). F, = f (PF,PB,, In Yd,,P)+&, where: F = average (per capita) pounds of fish consumed in year t (by everyone in the U.S.) PF = price index for fish in year t PB = price index for beef in year t Ydt = real per capita disposable income in year t (in dollars) P = a dummy variable equal to 1 after the Pope's 1966 decision and otherwise Note: InYd is not given; use the appropriate Stata command to generate that variable. Create and test appropriate hypotheses about the slope coefficients of M.1 at the 5-percent level. Start by specifying the expected sign for each slope coefficient and then, the null (Ho) and the alternative (HA) hypotheses for one-sided tests C P . 1 OBS F 2 1946 3 1947 4 1948 5 1949 6 1950 7 1951 8 1952 9 1953 10 1954 11 1955 12 1956 13 1957 14 1958 15 1959 16 1960 17 1961 18 1962 19 1963 20 1964 21 1965 22 1966 23 1967 24 1968 25 1969 26 1970 B N 12.8 12.3 13.1 12.9 13.8 13.2 13.3 13.6 13.5 12.9 12.9 12.8 13.3 13.7 13.2 13.7 13.6 13.7 13.5 13.9 13.9 13.6 14 14.2 14.8 P 24402 25268 26076 26718 27766 28635 29408 30425 31648 32576 33574 34564 36024 39505 40871 42105 42882 43847 44874 45640 46246 46864 47468 47873 47872 E PB PF 0 50.1 0 71.3 0 81 0 76.2 0 80.3 0 91 0 90.2 0 84.2 0 83.7 0 77.1 0 74.5 0 82.8 0 92.2 0 88.8 0 87.2 0 88.3 0 90.1 0 88.7 0 87.3 0 93.9 0 102.6 1 100 1 102.3 1 111.4 1 117.6 F YD 56 64.3 74.1 74.5 73.1 83.4 81.3 78.2 78.7 77.1 77 78 83.4 84.9 85 86.9 90.5 90.3 88.2 90.8 96.7 100 101.6 107.2 118 1606 1513 1567 1547 1646 1657 1678 1726 1714 1795 1839 1844 1831 1881 1883 1909 1969 2015 2126 2239 2335 2403 2486 2534 2610 Using the data in FishForFinal.xlsx, estimate the following equation (and name it: M.1). F, = f (PF,PB,, In Yd,,P)+&, where: F = average (per capita) pounds of fish consumed in year t (by everyone in the U.S.) PF = price index for fish in year t PB = price index for beef in year t Ydt = real per capita disposable income in year t (in dollars) P = a dummy variable equal to 1 after the Pope's 1966 decision and otherwise Note: InYd is not given; use the appropriate Stata command to generate that variable. Create and test appropriate hypotheses about the slope coefficients of M.1 at the 5-percent level. Start by specifying the expected sign for each slope coefficient and then, the null (Ho) and the alternative (HA) hypotheses for one-sided tests C P . 1 OBS F 2 1946 3 1947 4 1948 5 1949 6 1950 7 1951 8 1952 9 1953 10 1954 11 1955 12 1956 13 1957 14 1958 15 1959 16 1960 17 1961 18 1962 19 1963 20 1964 21 1965 22 1966 23 1967 24 1968 25 1969 26 1970 B N 12.8 12.3 13.1 12.9 13.8 13.2 13.3 13.6 13.5 12.9 12.9 12.8 13.3 13.7 13.2 13.7 13.6 13.7 13.5 13.9 13.9 13.6 14 14.2 14.8 P 24402 25268 26076 26718 27766 28635 29408 30425 31648 32576 33574 34564 36024 39505 40871 42105 42882 43847 44874 45640 46246 46864 47468 47873 47872 E PB PF 0 50.1 0 71.3 0 81 0 76.2 0 80.3 0 91 0 90.2 0 84.2 0 83.7 0 77.1 0 74.5 0 82.8 0 92.2 0 88.8 0 87.2 0 88.3 0 90.1 0 88.7 0 87.3 0 93.9 0 102.6 1 100 1 102.3 1 111.4 1 117.6 F YD 56 64.3 74.1 74.5 73.1 83.4 81.3 78.2 78.7 77.1 77 78 83.4 84.9 85 86.9 90.5 90.3 88.2 90.8 96.7 100 101.6 107.2 118 1606 1513 1567 1547 1646 1657 1678 1726 1714 1795 1839 1844 1831 1881 1883 1909 1969 2015 2126 2239 2335 2403 2486 2534 2610
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