Agglomeration economies in the formal and informal sectors : a Bayesian spatial approach
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More about this item
Keywords
Cambodia; Industry; Informal sector; Productivity; Agglomeration economies; Bayes;All these keywords.
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
- H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
- O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EFF-2017-06-25 (Efficiency and Productivity)
- NEP-GEO-2017-06-25 (Economic Geography)
- NEP-IUE-2017-06-25 (Informal and Underground Economics)
- NEP-SEA-2017-06-25 (South East Asia)
- NEP-URE-2017-06-25 (Urban and Real Estate Economics)
Statistics
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