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Economic Modelling

ISSN: 0264-9993

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Datasets associated with articles published in Economic Modelling

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1970
2024
1970 2024
45 results
  • Data for: Transient and persistent inefficiency traps in Chinese provinces
    Technical efficiency indices are estimated by using the parametric stochastic frontier analysis. The regression is based on a fixed-effect panel translog stochastic production frontier model, which covers GDP, capital stock approximated by the perpetual inventory method, education augmented labour input, and a time variable. Persistent inefficiency trap is indexed by the difference between an underachieving province’ persistent (or average) efficiency level and national average efficiency level. Transient inefficiency trap is indexed by the difference between the underachieving province’s overall efficiency gap and its persistent efficiency gap. Determinants of transient inefficiency trap are identified by a panel data model. Determinants of persistent inefficiency trap are identified through a cross sectional data model.
    • Dataset
  • Data for: The Welfare Impact of Migration with Endogenous Cross-Border Movement
    Bilateral migration data sourced from the UN.
    • Dataset
  • Data for: PIIGS in the Euro Area. An Empirical DSGE Model.
    time series of selected macroeconomic variables used as observables in our estimation exercise.
    • Dataset
  • Data for: Monetary policy when demand matters
    Dynare codes for "Monetary policy when demand matters"
    • Dataset
  • Data for: Attitudes towards change in a growing open economy
    Our dataset is annual and comprehends the period from 1980 to 2014 for 20 Latin American and 14 Asian countries (Argentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, Ecuador, Guatemala, Honduras, Haiti, Jamaica, Mexico, Nicaragua, Panama, Peru, Paraguay, El Salvador, Uruguay, Venezuela; Bangladesh, China, Indonesia, India, South Korea, Sri Lanka, Myanmar, Mongolia, Malaysia, Nepal, Pakistan, Philippines, Singapore, Thailand). The time span was chosen given data availability. Export and import series were obtained from the Atlas of Economic Complexity that uses raw data for goods, as reported to the United Nations Statistical Division (COMTRADE), and for services, from the International Monetary Fund (IMF). We chose a 11-sector level of aggregation because it allows us to address sectoral differences keeping the analysis as simple as possible. Gross Domestic Product (GDP) series and price deflators were obtained from the Penn World Table (PWT) 9.0. For each country, output of the rest of the world corresponds to the sum of GDP of all countries in the PWT minus domestic GDP. Finally, ECI and COI indexes also come from the Atlas of Economic Complexity. The last columns of both files report our estimates of Thirlwall's law.
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  • Data for: The provision of long-term credit and firm growth in developing countries
    The data section includes: - database - code All are in Stata format
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  • Data for: Estimating domestic content in China’s exports: Accounting for a dual trade regime
    This paper identifies the key problem in studies related to the global value chain, which is estimating the import matrix. Here, a dual trade regime is incorporated into a new set of China's input-output tables, using data for the period 1997-2015. This study re-estimated the domestic content in China's exports, based on a special input-output (IO) database. Contrasting this database with alternative generic databases suggests the special IO database has promising features for evaluating the domestic content of exports.
    • Dataset
  • Data for: Product Market Regulation, Business Churning and Productivity: Evidence from the European Union Countries
    The dataset on business churning, productivity and product market regulation uses publicly available data from Eurostat, Ameco and OECD. Data on business churning are retrieved from the Eurostat’s Business Demography Database, which provides statistics on firms’ birth and death rates. The birth (death) rate is defined as the number of enterprise births (deaths) in the reference period (t) divided by the number of enterprises active in t. The business ‘’churn’’ – or firm turnover – is computed as the sum of the birth and death rates. Additional data from Eurostat are retrieved to compute a decomposition of labour productivity, as well as to create a measure for allocative efficiency across and within groups of firms classified by size, for country-year-sector combinations. Total factor productivity (TFP) growth is defined as the portion of output that is not explained by the amount of inputs used in production, and therefore referred to as a representation of technological progress. TFP is computed on the basis of a neo-classical Cobb-Douglas production function, as a residual of the gross domestic product after the contributions of labour and capital have been taken into account. Its level is determined by how efficiently and intensely the inputs are utilised in production. As such, the computation of TFP requires some assumptions. In particular, we assume that the elasticities of labour and capital are equal to 2/3 and 1/3, respectively. Moreover, using aggregate values of total employment in millions of persons and consumption of fixed capital in millions we assume constant skill composition of the employed skill force and constant composition of the capital stock. TFP variables are obtained using Ameco data and are available with a sectoral breakdown. Product market regulation is measured by the OECD Regulation in Energy, Transport and Communications Index (PMR ETCR). Finally, we construct an indicator which captures the cyclical position of a given sector. Following Bartelsman et al. (1994), the indicator is constructed using the growth of downstream sectors, i.e. sectors that buy inputs from the sector of interest. The cyclical indicator is computed using World Input-Output Tables, providing data in years 2000-2014 (Timmer et al. 2015), and deflated by the GDP deflator. The overall (slightly unbalanced) dataset covers 28 European Union countries over the period 2000-2014.
    • Dataset
  • Data for: Why the Chinese Government should be present: A Comparative Analysis of the Economic Model of the High Tech Entrepreneurship of China and the United States
    include the data, code and figure of the paper
    • Dataset
  • Data for: Capital flow and banking credit in Indonesia
    supporting data for capital flow and bank loan papers consist of macroeconomic data such as inflation, GDP, exchange rate, JCI, GCI
    • Dataset
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