@article{
 title = {Application of Non-Linear Cobb-Douglas Production Function with Autocorrelation Problem to Selected Manufacturing Industries in Bangladesh},
 type = {article},
 year = {2013},
 pages = {173-178},
 volume = {03},
 publisher = {Scientific Research Publishing, Inc,},
 id = {21d4ee54-49a2-391b-abca-e732988d8ce1},
 created = {2020-11-12T22:08:42.660Z},
 file_attached = {true},
 profile_id = {3d6b17c2-7de8-3a82-bf4f-ddb0e3081e5f},
 last_modified = {2021-05-05T18:26:55.131Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {In developing counties, efficiency of economic development has been determined by the analysis of industrial produc-tion. An examination of the characteristic of industrial sector is an essential aspect of growth studies. The growth of a country can be measured by Gross Domestic Product (GDP). GDP is substantially affected by the industrial output. In-dustrial gross output is mainly a function of capital and labor input. If the effect of labor and capital input to output is at a satisfactory level in an industry or in a group of industries, then industrial investment will increase. As a result, the number of industries will increase, which will directly affect GDP and also will decrease the unemployment rate. This is why, industrial input-output relationship is so important for any industry as well as for the overall industrial sector of a country. To forecast the production of a firm is necessary to identify the appropriate model. MD. M. Hossain et al. [1] have shown that Cobb-Douglas production function with additive errors was more suitable for some selected manu-facturing industries in Bangladesh. The main purpose of this paper is to detect the autocorrelation problem of Cobb-Douglas production model with additive errors. The result shows that autocorrelation is presented in some manufactur-ing industries. Finally, this paper removes the autocorrelation problem and re-estimates the parameters of the Cobb-Douglas production function with additive errors.},
 bibtype = {article},
 author = {Hossain, Md. Moyazzem and Basak, Tapati and Majumder, Ajit Kumar},
 doi = {10.4236/ojs.2013.33019},
 journal = {Open Journal of Statistics},
 number = {03}
}

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