agres

Data on agricultural research, profitability and consumer surplus for 10 European countries in the period 1990-2012.

Estimation and path analysis functionalities for structural equation models with second-order polynomial lag shapes.

Alessandro Magrini

dlsem

Distributed-Lag Structural Equation Modelling

agres function

A data frame with a total of 260 observations on the following 8 variables:
  <dl>
    <dt><code>COUNTRY</code></dt><dd>Country (international code).</dd> <dt><code>YEAR</code></dt><dd>Year.</dd> <dt><code>GDP</code></dt><dd>Gross domestic product.</dd> <dt><code>FARM_SIZE</code></dt><dd>Average farm size: number of persons employed in Agriculture to total hectares of utilized agricultural area.</dd> <dt><code>NPATENT</code></dt><dd>Number of agricultural patent applications.</dd> <dt><code>GVA</code></dt><dd>Gross value added of Agriculture.</dd> <dt><code>PPI</code></dt><dd>Producer price of agricultural output (Index, 1980=100).</dd> <dt><code>ENTR_INCOME</code></dt><dd>Net intrepreneural income of Agriculture (Index, 2005=100).</dd> </dl> 

Format

EUROSTAT database. <a href="http://ec.europa.eu/eurostat/data/database">http://ec.europa.eu/eurostat/data/database</a>

Source

EUROSTAT database. <a href = 'http://ec.europa.eu/eurostat/data/database'>http://ec.europa.eu/eurostat/data/database</a>

agres: Agricultural research data

Description

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