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Generalized Ozaki cost function

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flexible functional forms (FFFs) because they do not impose any restrictions a priori on the degree of substitutability among inputs. These FFFs can provide a second-order approximation to any twice-differentiable function that meets the necessary regulatory conditions, including basic technological conditions and those consistent with cost minimization. Widely used examples of FFFs are the
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Furthermore, in the areas of trade, homothetic and monolithic functional models do not accurately predict results. One example is in the gravity equation for trade, or how much will two countries trade with each other based on GDP and distance. This led researchers to explore non-homothetic models of
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A drawback of the GL function is its inability to be globally concave without sacrificing flexibility in the price space. This limitation also applies to the GO function, as it is a non-homothetic extension of the GL. In a subsequent study, Nakamura attempted to address this issue by employing the
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for further details on this topic, including the potential for accommodating diverse elasticities of substitution among inputs, although this capability is somewhat constrained). To address this limitation, flexible functional forms have been developed. These general functional forms are called
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In essence, under general conditions, a specific technology can be equally effectively represented by both cost and production functions. One advantage of using a cost function rather than a production function is that the demand functions for inputs can be easily derived from the former using
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Up until 1990, the predominant user of this functional form was Iwao Ozaki, a Japanese economist, which explains its namesake. Although much of Ozaki's work remains in Japanese and isn't readily accessible to the general public, there is an exception found in the paper "Economies of Scale and
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of production proposed by Shinichiro Nakamura. The GO cost function is notable for explicitly considering nonhomothetic technology, where the proportions of inputs can vary as the output changes. This stands in contrast to the standard production model, which assumes homothetic technology.
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is a special case of CES) typically involve only two inputs, such as capital and labor. While they can be extended to include more than two inputs, assuming the same degree of substitutability for all inputs may seem overly restrictive (refer to
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The GO cost function is flexible in the price space, and treats scale effects and technical change in a highly general manner. The concavity condition which ensures that a constant function aligns with cost minimization for a specific set of
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Input-Output Coefficients" within the book "Applications of Input-Output Analysis," edited by A. Carter and A. Brody. This publication is available from North-Holland Publishers, dated 1969, spanning pages 280-302."
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The duality theorems of cost and production functions state that once a well-behaved cost function is established, one can derive the corresponding production function, and vice versa. For a given cost function
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and the Generalized Leontief (GL) function. The translog function extends the Cobb-Douglas function to the second order, while the GL function performs a similar extension to the Leontief production function.
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which implies that for a homothetic technology, the ratio of inputs depends solely on prices and not on the scale of output. However, empirical studies on the cross-section of establishments show that the
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Charles Blackorby, Daniel Primont, R. Robert Russell |title=Duality, Separability, and Functional Structure: Theory and Economic Applications, Elsevier Science Ltd, 1978,
1234: 963: 539: 812:{\displaystyle x_{i}={\partial c \over \partial p_{i}}=b_{ii}y^{b_{yi}}\exp ^{b_{it}t}+\textstyle \sum _{i\neq j}^{m}b_{ij}{\sqrt {p_{i}/p_{j}}}y^{b_{y}}\exp ^{b_{t}t}} 1117: 2074: 1070: 1709: 1559: 1484: 2575:
Nakamura, Shinichiro. "A non-homothetic globally concave flexible cost function and its application to panel data." The Japanese Economic Review 52 (2001): 208-223.
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analysis of producer behavior, for example, when producers would begin to minimize costs by switching inputs or investing in increased production.
379:{\displaystyle C(p,y,t)=\sum _{i}b_{ii}\left(y^{b_{yi}}e^{b_{ti}t}p_{i}+\sum _{j\,:\,j\neq i}b_{ij}{\sqrt {p_{i}p_{j}}}y^{b_{y}}e^{b_{t}t}\right)} 2597:
Morrison, Catherine. "Quasi-fixed inputs in US and Japanese manufacturing: a generalized Leontief restricted cost function approach."
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Melvyn Fuss and Daniel McFadden, eds., Production Economics: A Dual Approach to Theory and Applications, Volume 1, North Holland, 1978
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Moreover, both the GO function and the underlying GL function presume immediate adjustments of inputs in response to changes in
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can be obtained as (a more rigorous derivation involves using a distance function instead of a production function) :
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Ryan, David L., and Terence J. Wales. "Imposing local concavity in the translog and generalized Leontief cost functions."
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is termed a unit cost function. From Shephard's lemma, we obtain the following expression for the ratio of inputs
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Diewert, W. Erwin. "An application of the Shephard duality theorem: A generalized Leontief production function."
1268:) hods, it reduces to a non-linear version of Leontief's model, which explains the cross-sectional variation of 1975: 2655: 1304: 2618: 2338:{\displaystyle {\frac {x_{i}}{x_{j}}}={\frac {\partial c(p)/\partial p_{i}}{\partial c(p)/\partial p_{j}}}} 1914: 2491:
Shinichiro Nakamura (1990). "A Nonhomothetic Generalized Leontief Cost Function Based on Pooled Data".
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Generalized McFadden function. For further advancements in this area, refer to Ryan and Wales.
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can be represented as a positive monotone transformation of a linear-homogeneous function
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In economics, production technology is typically represented by the production function
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function for which the elasticity of substitution between the inputs,
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For a homothetic technology, the cost function can be represented as
17: 2504: 1486:. When considering cost minimization for a given set of prices 1856: 25: 1650:{\displaystyle C(p,y)=\min _{x}(p^{\top }x|f(x)\geq y)} 1012:) scale proportionally with the overall output level ( 707: 2431: 2411: 2233: 2211: 2191: 2171: 2151: 2087: 2062: 2028: 1978: 1917: 1895: 1875: 1861:
Commonly used forms of production functions, such as
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The MIT Press: 649?656. 2472: 2041:{\displaystyle \lambda >0} 1381: 441:{\displaystyle b_{ij}=b_{ji}} 2619:List of production functions 2536:Journal of political economy 1812: for all possible  1229:{\displaystyle b_{ti}=b_{t}} 1139:. None of the input levels ( 958:{\displaystyle b_{yi}=b_{y}} 7: 2608: 2355: 1838: 1664: 1371: 826: 392: 10: 2672: 2363:production, to fit with a 1189:Neutral technicla change ( 534:{\displaystyle i,j=1,..,m} 2371:Flexible Functional Forms 2451: 1112:{\displaystyle b_{yi}=0} 1079:Factor limitationality ( 2069:{\displaystyle \sigma } 1065:{\displaystyle b_{y}=0} 2651:Functions and mappings 2439: 2419: 2339: 2219: 2199: 2179: 2159: 2137: 2070: 2042: 2016: 1964: 1903: 1883: 1825: 1725: 1705: 1704:{\displaystyle C(p,y)} 1651: 1555: 1554:{\displaystyle C(p,y)} 1520: 1500: 1480: 1479:{\displaystyle y=f(x)} 1451:inputs, is written as 1445: 1425: 1405: 1358: 1289: 1250: 1230: 1180: 1160: 1133: 1113: 1066: 1026: 1006: 979: 959: 905: 878: 851: 813: 728: 586: 559: 535: 488: 442: 380: 144: 118: 91: 71: 51: 2588:67.3 (2000): 253-260. 2538:79.3 (1971): 481-507. 2440: 2420: 2378:functions (note that 2340: 2220: 2200: 2180: 2160: 2138: 2071: 2043: 2017: 1965: 1904: 1884: 1826: 1726: 1706: 1652: 1561:can be expressed as: 1556: 1521: 1501: 1481: 1446: 1426: 1406: 1359: 1290: 1288:{\displaystyle x_{i}} 1251: 1231: 1181: 1161: 1159:{\displaystyle x_{i}} 1134: 1114: 1067: 1027: 1007: 1005:{\displaystyle x_{i}} 980: 960: 906: 904:{\displaystyle p_{j}} 879: 877:{\displaystyle p_{i}} 852: 814: 708: 587: 585:{\displaystyle x_{i}} 560: 536: 489: 443: 381: 145: 119: 117:{\displaystyle p_{i}} 92: 72: 52: 2656:Production economics 2429: 2409: 2231: 2209: 2189: 2169: 2149: 2085: 2060: 2026: 1976: 1915: 1893: 1873: 1741: 1715: 1680: 1571: 1530: 1510: 1490: 1455: 1435: 1415: 1395: 1305: 1272: 1240: 1197: 1170: 1143: 1123: 1087: 1043: 1016: 989: 985:. All input levels ( 969: 926: 888: 861: 841: 602: 569: 549: 498: 452: 406: 159: 128: 101: 81: 61: 41: 2614:Production function 143:{\displaystyle C()} 37:For a given output 2435: 2415: 2335: 2215: 2195: 2175: 2155: 2133: 2066: 2038: 2012: 1960: 1899: 1879: 1821: 1721: 1701: 1647: 1604: 1551: 1516: 1496: 1476: 1441: 1421: 1401: 1354: 1285: 1246: 1226: 1176: 1156: 1129: 1109: 1062: 1022: 1002: 975: 955: 901: 874: 847: 809: 808: 582: 555: 541:. By applying the 531: 484: 464: 438: 376: 296: 198: 140: 114: 87: 67: 47: 2586:Economics Letters 2438:{\displaystyle y} 2418:{\displaystyle p} 2333: 2256: 2218:{\displaystyle j} 2198:{\displaystyle i} 2178:{\displaystyle c} 2158:{\displaystyle d} 1902:{\displaystyle h} 1882:{\displaystyle f} 1846: 1845: 1813: 1724:{\displaystyle f} 1672: 1671: 1595: 1519:{\displaystyle y} 1499:{\displaystyle p} 1444:{\displaystyle m} 1424:{\displaystyle y} 1404:{\displaystyle f} 1379: 1378: 1249:{\displaystyle i} 1179:{\displaystyle p} 1132:{\displaystyle i} 1025:{\displaystyle y} 978:{\displaystyle i} 850:{\displaystyle p} 834: 833: 769: 643: 558:{\displaystyle i} 455: 400: 399: 332: 273: 189: 90:{\displaystyle m} 70:{\displaystyle t} 50:{\displaystyle y} 2663: 2634:Returns to scale 2629:Shephard's lemma 2602: 2601:(1988): 275-287. 2595: 2589: 2582: 2576: 2573: 2567: 2564: 2558: 2548: 2539: 2532: 2517: 2516: 2488: 2466: 2462: 2444: 2442: 2441: 2436: 2424: 2422: 2421: 2416: 2344: 2342: 2341: 2336: 2334: 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4: 3: 2: 2668: 2657: 2654: 2652: 2649: 2648: 2646: 2639: 2636: 2635: 2631: 2630: 2626: 2625: 2621: 2620: 2616: 2615: 2600: 2594: 2587: 2581: 2572: 2563: 2557: 2556:0-444-00235-9 2553: 2547: 2545: 2537: 2531: 2529: 2527: 2525: 2523: 2514: 2510: 2506: 2502: 2498: 2494: 2487: 2485: 2483: 2478: 2461: 2457: 2449: 2446: 2432: 2412: 2403: 2394: 2391: 2386: 2381: 2377: 2368: 2366: 2365:cross section 2360: 2358: 2357: 2352: 2346: 2327: 2323: 2315: 2308: 2302: 2292: 2288: 2280: 2273: 2267: 2258: 2251: 2247: 2241: 2237: 2226: 2212: 2192: 2172: 2152: 2143: 2127: 2121: 2115: 2109: 2106: 2100: 2097: 2094: 2088: 2080: 2077: 2063: 2055: 2051: 2035: 2032: 2029: 2006: 2000: 1997: 1994: 1988: 1985: 1979: 1970: 1951: 1945: 1939: 1936: 1930: 1924: 1921: 1918: 1910: 1896: 1876: 1868: 1864: 1854: 1852: 1842: 1835: 1833: 1831: 1815: 1807: 1804: 1795: 1791: 1785: 1782: 1779: 1773: 1765: 1756: 1750: 1744: 1736: 1735: 1732: 1718: 1695: 1692: 1689: 1683: 1668: 1661: 1659: 1657: 1641: 1638: 1632: 1626: 1618: 1609: 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282: 278: 274: 270: 265: 261: 255: 250: 247: 243: 238: 230: 227: 223: 218: 213: 207: 204: 200: 194: 190: 186: 180: 177: 174: 171: 168: 162: 155: 154: 151: 131: 109: 105: 97:input prices 84: 64: 44: 30: 27: 23: 19: 2637: 2632: 2627: 2622: 2617: 2612: 2598: 2593: 2585: 2580: 2571: 2562: 2535: 2496: 2492: 2460: 2447: 2404: 2400: 2380:Cobb-Douglas 2374: 2361: 2354: 2350: 2347: 2227: 2144: 2081: 2078: 2050:Cobb-Douglas 1971: 1911: 1863:Cobb-Douglas 1860: 1847: 1836: 1737: 1673: 1662: 1567: 1390: 1369: 1301: 1265: 1261: 1259: 1190: 1166:) depend on 1080: 1073: 1036: 919: 913: 835: 824: 598: 401: 390: 36: 21: 15: 2397:Limitations 2076:, is one. 2645:Categories 2473:References 1382:Background 57:, at time 2320:∂ 2300:∂ 2285:∂ 2265:∂ 2064:σ 2030:λ 1998:λ 1986:λ 1940:ϕ 1800:⊤ 1792:≤ 1639:≥ 1614:⊤ 717:≠ 710:∑ 630:∂ 622:∂ 457:∑ 290:≠ 275:∑ 191:∑ 18:economics 2609:See also 2353:model ( 2022:for any 1236:for all 1119:for all 965:for all 592: : 2513:2109605 2048:. The 402:Here, 2554:  2511:  2145:where 1972:where 1260:When ( 2509:JSTOR 2452:Notes 2425:and 2552:ISBN 2205:and 2033:> 1865:and 1506:and 1431:and 884:and 448:and 26:cost 20:the 2501:doi 2385:CES 2376:CES 2225:: 2054:CES 1760:max 1597:min 1193:): 1083:): 1039:): 920:HT) 790:exp 683:exp 16:In 2647:: 2543:^ 2521:^ 2507:. 2497:72 2495:. 2481:^ 2351:FL 2345:, 1909:: 1266:FL 1262:HT 1191:NT 1081:FL 1074:HT 1037:HG 1032:). 922:: 565:, 494:, 2515:. 2503:: 2433:y 2413:p 2356:3 2328:j 2324:p 2316:/ 2312:) 2309:p 2306:( 2303:c 2293:i 2289:p 2281:/ 2277:) 2274:p 2271:( 2268:c 2259:= 2252:j 2248:x 2242:i 2238:x 2213:j 2193:i 2173:c 2153:d 2131:) 2128:y 2125:( 2122:d 2119:) 2116:p 2113:( 2110:c 2107:= 2104:) 2101:y 2098:, 2095:p 2092:( 2089:C 2036:0 2010:) 2007:x 2004:( 2001:h 1995:= 1992:) 1989:x 1983:( 1980:h 1958:) 1955:) 1952:x 1949:( 1946:h 1943:( 1937:= 1934:) 1931:x 1928:( 1925:f 1922:= 1919:y 1897:h 1877:f 1841:) 1839:5 1837:( 1819:) 1816:p 1808:, 1805:x 1796:p 1789:) 1786:y 1783:, 1780:p 1777:( 1774:C 1770:| 1766:y 1763:( 1757:= 1754:) 1751:x 1748:( 1745:f 1719:f 1699:) 1696:y 1693:, 1690:p 1687:( 1684:C 1667:) 1665:4 1663:( 1645:) 1642:y 1636:) 1633:x 1630:( 1627:f 1623:| 1619:x 1610:p 1606:( 1601:x 1593:= 1590:) 1587:y 1584:, 1581:p 1578:( 1575:C 1549:) 1546:y 1543:, 1540:p 1537:( 1534:C 1514:y 1494:p 1474:) 1471:x 1468:( 1465:f 1462:= 1459:y 1439:m 1419:y 1399:f 1374:) 1372:3 1370:( 1348:i 1345:y 1341:b 1336:y 1330:i 1327:i 1323:b 1319:= 1314:i 1310:x 1281:i 1277:x 1256:. 1244:i 1222:t 1218:b 1214:= 1209:i 1206:t 1202:b 1186:. 1174:p 1152:i 1148:x 1127:i 1107:0 1104:= 1099:i 1096:y 1092:b 1076:. 1060:0 1057:= 1052:y 1048:b 1020:y 998:i 994:x 973:i 951:y 947:b 943:= 938:i 935:y 931:b 897:j 893:p 870:i 866:p 845:p 829:) 827:2 825:( 804:t 799:t 795:b 782:y 778:b 773:y 765:j 761:p 756:/ 750:i 746:p 738:j 735:i 731:b 725:m 720:j 714:i 705:+ 700:t 695:t 692:i 688:b 675:i 672:y 668:b 663:y 657:i 654:i 650:b 646:= 638:i 634:p 625:c 616:= 611:i 607:x 578:i 574:x 553:i 529:m 526:, 523:. 520:. 517:, 514:1 511:= 508:j 505:, 502:i 482:1 479:= 474:j 471:i 467:b 461:i 434:i 431:j 427:b 423:= 418:j 415:i 411:b 395:) 393:1 391:( 373:) 367:t 362:t 358:b 353:e 345:y 341:b 336:y 328:j 324:p 318:i 314:p 306:j 303:i 299:b 293:i 287:j 283:: 279:j 271:+ 266:i 262:p 256:t 251:i 248:t 244:b 239:e 231:i 228:y 224:b 219:y 214:( 208:i 205:i 201:b 195:i 187:= 184:) 181:t 178:, 175:y 172:, 169:p 166:( 163:C 138:) 135:( 132:C 110:i 106:p 85:m 65:t 45:y

Index

economics
cost
Shephard's lemma
Shephard's lemma
Cobb-Douglas
Constant Elasticity of Substitution
Cobb-Douglas
CES
3
cross section
CES
Cobb-Douglas
CES
transcendental logarithmic (translog) function



doi
10.2307/2109605
JSTOR
2109605







ISBN
0-444-00235-9

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