Farms

<p>The <code>Farms</code> data frame contains simulated data for 2,500 dairy farms.</p>

datasets


Stochastic frontier analysis with advanced methods.
In particular, it applies the approach proposed by Latruffe et al. (2017)
<DOI:10.1093/ajae/aaw077> to estimate a stochastic frontier with technical
inefficiency effects when one input is endogenous.

Yann Desjeux

sfadv

Advanced Methods for Stochastic Frontier Analysis

Laure Latruffe

Alain Carpentier

Farms function

<p>This data frame contains the following 14 variables:</p><table><tr><td>
  <code>farm_output</code> </td>
<td> Farm total output, in constant Euros.</td>
</tr><tr><td>
  <code>agri_land</code> </td>
<td> Farm agricultural area, in hectares.</td>
</tr><tr><td>
  <code>tot_lab</code> </td>
<td> Total labour used on the farm, in hours.</td>
</tr><tr><td>
  <code>tot_asset</code> </td>
<td> Total assets of the farm (excluding land), in constant Euros.</td>
</tr><tr><td> 
  <code>LFA</code> </td>
<td> Dummy variable indicating whether the farm is located within a</td>
</tr><tr><td>
  </td>
<td> Less Favoured Area (<code>1</code>) or not (<code>0</code>).</td>
</tr><tr><td>
  <code>hired_lab</code> </td>
<td> Ratio of the farm hired labour to total labour (<code>tot_lab</code>).</td>
</tr><tr><td>
  <code>rented_land</code> </td>
<td> Ratio of the farm rented land to agricultural area (<code>agri_land</code>).</td>
</tr><tr><td>
  <code>debt_asset</code> </td>
<td> Ratio of the farm total debts to total assets.</td>
</tr><tr><td>
  <code>costs</code> </td>
<td> Costs of variable inputs used on the farm, in constant Euros.</td>
</tr><tr><td>
  <code>subs</code> </td>
<td> Amount of the farm production subsidies received per hectare of agricultural area</td>
</tr><tr><td>
  </td>
<td> (<code>agri_land</code>), in constant Euros.</td>
</tr><tr><td>
  <code>region</code> </td>
<td> Factor variable representing the administrative region of the farm.</td>
</tr><tr><td>
  <code>milkprice</code> </td>
<td> Average farm milk price per ton of milk, in constant Euros.</td>
</tr><tr><td>
  <code>price_ind</code> </td>
<td> National yearly price index of variable inputs.</td>
</tr></table>

`farm_output`	Farm total output, in constant Euros.
`agri_land`	Farm agricultural area, in hectares.
`tot_lab`	Total labour used on the farm, in hours.
`tot_asset`	Total assets of the farm (excluding land), in constant Euros.
`LFA`	Dummy variable indicating whether the farm is located within a
	Less Favoured Area (`1`) or not (`0`).
`hired_lab`	Ratio of the farm hired labour to total labour (`tot_lab`).
`rented_land`	Ratio of the farm rented land to agricultural area (`agri_land`).
`debt_asset`	Ratio of the farm total debts to total assets.
`costs`	Costs of variable inputs used on the farm, in constant Euros.
`subs`	Amount of the farm production subsidies received per hectare of agricultural area
	(`agri_land`), in constant Euros.
`region`	Factor variable representing the administrative region of the farm.
`milkprice`	Average farm milk price per ton of milk, in constant Euros.
`price_ind`	National yearly price index of variable inputs.

Farms: Data set of farm accountancy data

Description

Usage

Arguments

Format

Examples