Unemployment_and_Participation_Rates_Eurozone.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "trained-english",
   "metadata": {},
   "source": [
    "# Eurozone and NL Participation,  Unemployment,  Job Vacancy, and Vacancies per Unemployed Rates\n",
    "In this notebook I look at:\n",
    "* The total population of the Eurozone and the Netherlands that works or is capable of working. It's referred to as the _Population Level_. In simpler words, it's the set of people who could in theory work. Given the different approaches in different Euro area countries, one can define it using different age groups, e.g. people aged from 15 to 74, or narrower as people aged from 20 to 64.\n",
    "* Another key concept in this notebook is the _Labor Force Level_ &mdash; it is a subset of the population level comprising only those who work or actively look for work. Naturally `Labor Force Level` < `Population Level`\n",
    "* Finally we arrive at the _Employment Level_ &mdash; it is a subset of the labor force level comprising only those who work. It follows that: `Employment Level` < `Labor Force Level` < `Population Level`.\n",
    "\n",
    "I then look at the different ratios involving the sizes of the above-mentioned sets:\n",
    "1. **Participation Rate**: The percentage of the population level comprising those who work or are actively looking for work, i.e. $\\frac{\\left|\\text{Labor Force Level}\\right|}{\\left|\\text{Population Level}\\right|}$\n",
    "2. **Unemployment Rate**: The percentage of the labor force level comprising those who are actively looking for work, i.e. $\\frac{\\left|\\text{Labor Force Level}\\right| - \\left|\\text{Employment Level}\\right|}{\\left|\\text{Labor Force Level}\\right|}$\n",
    "3. **Job Vacancy Rate** (aka _Unfilled Vacancies/Labor Force Ratio_): The number of unfilled vacancies as percentage of the labor force level, i.e. $\\frac{\\left|\\text{Unfilled vacancies}\\right|}{\\left|\\text{Labor Force Level}\\right|}$\n",
    "4. **Vacancies per Unemployed Rate** (aka _Unfilled Vacancies/Labor Force Ratio_): The number of unfilled vacancies as percentage of the labor force level, i.e. $\\frac{\\left|\\text{Unfilled vacancies}\\right|}{\\left|\\text{Unemployment Level}\\right|}$\n",
    "    \n",
    "    ($\\left|X\\right|$ denotes the size of set X)\n",
    "\n",
    "and how they've evolved since 2000.\n",
    "\n",
    "\n",
    "I also construct a [Beveridge Curve](https://en.wikipedia.org/wiki/Beveridge_curve) for the NL job market by plotting the unemployment rate against the vacancy rate.\n",
    "\n",
    "Throughout this notebook all non-percentage numbers are in the thousands of persons. I also consistently use seasonally and calendar unadjusted data given that Eurostat doesn't deliver all labour market data with a season  adjustment (e.g. the total population level). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "special-yeast",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.ticker as mtick\n",
    "import matplotlib.dates as mdates\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas_datareader.data as web\n",
    "from datetime import date\n",
    "\n",
    "import eurostat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fitting-dakota",
   "metadata": {},
   "outputs": [],
   "source": [
    "report_start = date.fromisoformat('2000-01-01')\n",
    "report_end = date.today()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "intimate-spread",
   "metadata": {},
   "outputs": [],
   "source": [
    "NL_PFX = 'NL '\n",
    "EA_PFX = 'Euro area '\n",
    "POPULATION = 'Population'\n",
    "LABOUR_FORCE = 'Labour Force'\n",
    "UNEMPLOYMENT_LEVEL = 'Unemployment Level'\n",
    "UNFILLED_VAC = 'Unfilled Vacancies'\n",
    "MEAN_LEVEL_OF = 'Mean level of '\n",
    "PARTICIPATION_RATE = 'Participation Rate'\n",
    "MEAN_PARTICIPATION_RATE = MEAN_LEVEL_OF + PARTICIPATION_RATE\n",
    "EMPLOYMENT_POPULATION_RATE = 'Employment Rate'\n",
    "MEAN_EMPLOYMENT_POPULATION_RATE = MEAN_LEVEL_OF + EMPLOYMENT_POPULATION_RATE\n",
    "UNEMPLOYMENT_RATE = 'Unemployment Rate'\n",
    "MEAN_UNEMPLOYMENT_RATE = MEAN_LEVEL_OF + UNEMPLOYMENT_RATE\n",
    "UNFILLED_VACANCIES_POPULATION_RATE = 'Unfilled Vacancies/Population Rate'\n",
    "MEAN_UNFILLED_VACANCIES_POPULATION_RATE = MEAN_LEVEL_OF + UNFILLED_VACANCIES_POPULATION_RATE\n",
    "UNFILLED_VACANCIES_LABOR_FORCE_RATE = 'Job-vacancy Rate'\n",
    "MEAN_UNFILLED_VACANCIES_LABOR_FORCE_RATE = MEAN_LEVEL_OF + UNFILLED_VACANCIES_LABOR_FORCE_RATE\n",
    "UNEMPLOYMENT_RATIO_GRAPH_TITLE = 'Unemployment Rate'\n",
    "JOB_VAC_RATE_GRAPH_TITLE = 'Job-vacancy rate (Unfilled Vacancies/Labor Force)'\n",
    "JOB_VAC_PER_UNEMPLOYED = 'Job Vacancies per Unemployed'\n",
    "JOB_VAC_PER_UNEMPLOYED_GRAPH_TITLE = JOB_VAC_PER_UNEMPLOYED + ' Person'\n",
    "MEAN_VACANCIES_PER_UNEMPLOYED = 'Mean level of job vacancies per unemployed person'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "particular-shooting",
   "metadata": {},
   "source": [
    "#### Population and Labour Force Levels\n",
    "Eurostat collects statistics on labour force in the EU using different age brackets. Depending on which definition you choose, you get a different definition of the labour force. E.g. choosing the bracket `Y20-64` defines the labour force as people aged 20 to 64 that work or actively search for work. Similar for unemployment rates. Switching to `Y15-74` makes the labour force larger.\n",
    "\n",
    "Please adjust the constant `AGE_GROUP` in the cell below as you find appropriate. To be consistent with [the CBS](https://www.cbs.nl), I use the `Y15-74` age group for the Netherlands for determining the population and labour force levels.\n",
    "\n",
    "I use the following dataseries provided by [the Eurostat](https://ec.europa.eu/eurostat):\n",
    "\n",
    "* [lfsq_pganws](https://ec.europa.eu/eurostat/databrowser/view/lfsq_pganws/default/table?lang=en&category=labour.employ.lfsq.lfsq_pop) &mdash; Population by sex, age, citizenship and labour status (1 000)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "executed-indianapolis",
   "metadata": {},
   "outputs": [],
   "source": [
    "#AGE_GROUP = 'Y20-64'\n",
    "AGE_GROUP = 'Y15-74'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "challenging-stone",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Retrieving labour fource in thousands of persons. Labour force are people aged 20 to 64 that work\n",
    "# or actively search for work. For the Netherlands an age bracket of 18 to 67 would be better. However\n",
    "# Eurostat doesn't provide it. It does provide alterate age brackets such as Y15-74.\n",
    "ea_nl_labour_force = eurostat.get_data_df('lfsq_pganws',\n",
    "               filter_pars={'startPeriod': report_start, 'unit': 'THS_PER', 'sex': 'T', 'age': AGE_GROUP,\n",
    "                            'citizen': 'TOTAL', 'wstatus': ['POP', 'ACT'],\n",
    "                            'geo': ['EA20', 'NL']}).iloc[:, 5:]\n",
    "ea_nl_labour_force = ea_nl_labour_force.set_index([ea_nl_labour_force.columns[0], ea_nl_labour_force.columns[1]]).T\n",
    "ea_nl_labour_force = ea_nl_labour_force.set_axis(pd.DatetimeIndex(ea_nl_labour_force.index, 'QS'))\n",
    "ea_nl_labour_force = ea_nl_labour_force.loc[ea_nl_labour_force.first_valid_index():]\n",
    "ea_nl_labour_force.columns.names = 2*[None]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "regulation-nation",
   "metadata": {},
   "source": [
    "#### Unemployment Level\n",
    "I use the following dataseries provided by [the Eurostat](https://ec.europa.eu/eurostat):\n",
    "\n",
    "* [une_rt_q](https://ec.europa.eu/eurostat/databrowser/view/une_rt_q/default/table?lang=en&category=labour.employ.lfsi.une) &mdash; Unemployment by sex and age."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "waiting-blowing",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Retrieving the number of unemployed in thousands of persons. Using unadjusted data for consistency's sake with\n",
    "# population and labour force numbers.\n",
    "ea_nl_unemployed = eurostat.get_data_df('une_rt_q',\n",
    "               filter_pars={'startPeriod': report_start, 'unit': 'THS_PER', 'sex': 'T', 'age': AGE_GROUP,\n",
    "                            's_adj': 'NSA', 'geo': ['EA20', 'NL']}).iloc[:, 5:]\n",
    "\n",
    "ea_nl_unemployed = ea_nl_unemployed.set_index(ea_nl_unemployed.columns[0]).T\n",
    "ea_nl_unemployed = ea_nl_unemployed.set_axis(pd.DatetimeIndex(ea_nl_unemployed.index, 'QS'))\n",
    "ea_nl_unemployed = ea_nl_unemployed.loc[ea_nl_unemployed.iloc[:,1].first_valid_index():]\n",
    "ea_nl_unemployed.columns.names = [None]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "handy-trigger",
   "metadata": {},
   "source": [
    "#### Unfilled Vacancies Level\n",
    "I use the following dataseries provided by [the Eurostat](https://ec.europa.eu/eurostat):\n",
    "\n",
    "* [jvs_q_nace2](https://ec.europa.eu/eurostat/databrowser/view/jvs_q_nace2/default/table?lang=en&category=labour.jvs) &mdash; Job vacancy statistics by NACE Rev. 2 activity - quarterly data (from 2001 onwards)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "external-certificate",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Retrieving the number of vacancies and converting into thousands of persons. Using unadjusted data for consistency's sake with\n",
    "# population and labour force numbers.\n",
    "ea_nl_vacancies = eurostat.get_data_df('jvs_q_nace2',\n",
    "               filter_pars={'startPeriod': report_start, 'nace_r2': 'A-S', 'sizeclas': 'TOTAL',\n",
    "                            's_adj': 'NSA', 'indic_em': 'JOBVAC', 'geo': ['EA20', 'NL']}).iloc[:, 5:]\n",
    "ea_nl_vacancies = ea_nl_vacancies.set_index(ea_nl_vacancies.columns[0]).T\n",
    "ea_nl_vacancies = ea_nl_vacancies.set_axis(pd.DatetimeIndex(ea_nl_vacancies.index, 'QS'))\n",
    "ea_nl_vacancies = ea_nl_vacancies.loc[ea_nl_vacancies.iloc[:,0].first_valid_index():]\n",
    "ea_nl_vacancies.columns.names = [None]\n",
    "ea_nl_vacancies /= 1e3"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "naked-martial",
   "metadata": {},
   "source": [
    "#### Aggregating datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "heavy-sharp",
   "metadata": {},
   "outputs": [],
   "source": [
    "ea_labour_mkt = pd.concat([ea_nl_labour_force.loc[:, (ea_nl_labour_force.columns.get_level_values(0), 'EA20')],\n",
    "                           ea_nl_unemployed.loc[:,'EA20']], axis=1)\n",
    "ea_labour_mkt.columns = [POPULATION, LABOUR_FORCE, UNEMPLOYMENT_LEVEL]\n",
    "ea_labour_mkt.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "improved-overall",
   "metadata": {},
   "outputs": [],
   "source": [
    "ea_labour_mkt[PARTICIPATION_RATE] = ea_labour_mkt[LABOUR_FORCE] / ea_labour_mkt[POPULATION]\n",
    "ea_labour_mkt[UNEMPLOYMENT_RATE] = ea_labour_mkt[UNEMPLOYMENT_LEVEL] / ea_labour_mkt[LABOUR_FORCE]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "above-concrete",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Population</th>\n",
       "      <th>Labour Force</th>\n",
       "      <th>Unemployment Level</th>\n",
       "      <th>Participation Rate</th>\n",
       "      <th>Unemployment Rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2009-01-01</th>\n",
       "      <td>255044.5</td>\n",
       "      <td>160064.5</td>\n",
       "      <td>15239.0</td>\n",
       "      <td>0.627594</td>\n",
       "      <td>0.095205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-04-01</th>\n",
       "      <td>255097.1</td>\n",
       "      <td>160537.5</td>\n",
       "      <td>15300.0</td>\n",
       "      <td>0.629319</td>\n",
       "      <td>0.095305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-07-01</th>\n",
       "      <td>254909.3</td>\n",
       "      <td>160287.7</td>\n",
       "      <td>15351.0</td>\n",
       "      <td>0.628803</td>\n",
       "      <td>0.095772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2009-10-01</th>\n",
       "      <td>255161.2</td>\n",
       "      <td>160840.9</td>\n",
       "      <td>16225.0</td>\n",
       "      <td>0.630350</td>\n",
       "      <td>0.100876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-01</th>\n",
       "      <td>253598.4</td>\n",
       "      <td>159443.3</td>\n",
       "      <td>17150.0</td>\n",
       "      <td>0.628724</td>\n",
       "      <td>0.107562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-01</th>\n",
       "      <td>259519.0</td>\n",
       "      <td>168865.1</td>\n",
       "      <td>11649.0</td>\n",
       "      <td>0.650685</td>\n",
       "      <td>0.068984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-01</th>\n",
       "      <td>259677.9</td>\n",
       "      <td>170012.7</td>\n",
       "      <td>10804.0</td>\n",
       "      <td>0.654706</td>\n",
       "      <td>0.063548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-01</th>\n",
       "      <td>259876.3</td>\n",
       "      <td>170717.0</td>\n",
       "      <td>11085.0</td>\n",
       "      <td>0.656916</td>\n",
       "      <td>0.064932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-01</th>\n",
       "      <td>260250.1</td>\n",
       "      <td>171011.8</td>\n",
       "      <td>11148.0</td>\n",
       "      <td>0.657106</td>\n",
       "      <td>0.065188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-01</th>\n",
       "      <td>260799.0</td>\n",
       "      <td>171011.7</td>\n",
       "      <td>11659.0</td>\n",
       "      <td>0.655722</td>\n",
       "      <td>0.068177</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>61 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Population  Labour Force Unemployment Level  Participation Rate  \\\n",
       "2009-01-01    255044.5      160064.5            15239.0            0.627594   \n",
       "2009-04-01    255097.1      160537.5            15300.0            0.629319   \n",
       "2009-07-01    254909.3      160287.7            15351.0            0.628803   \n",
       "2009-10-01    255161.2      160840.9            16225.0            0.630350   \n",
       "2010-01-01    253598.4      159443.3            17150.0            0.628724   \n",
       "...                ...           ...                ...                 ...   \n",
       "2023-01-01    259519.0      168865.1            11649.0            0.650685   \n",
       "2023-04-01    259677.9      170012.7            10804.0            0.654706   \n",
       "2023-07-01    259876.3      170717.0            11085.0            0.656916   \n",
       "2023-10-01    260250.1      171011.8            11148.0            0.657106   \n",
       "2024-01-01    260799.0      171011.7            11659.0            0.655722   \n",
       "\n",
       "           Unemployment Rate  \n",
       "2009-01-01          0.095205  \n",
       "2009-04-01          0.095305  \n",
       "2009-07-01          0.095772  \n",
       "2009-10-01          0.100876  \n",
       "2010-01-01          0.107562  \n",
       "...                      ...  \n",
       "2023-01-01          0.068984  \n",
       "2023-04-01          0.063548  \n",
       "2023-07-01          0.064932  \n",
       "2023-10-01          0.065188  \n",
       "2024-01-01          0.068177  \n",
       "\n",
       "[61 rows x 5 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ea_labour_mkt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "another-dispatch",
   "metadata": {},
   "outputs": [],
   "source": [
    "nl_labour_mkt = pd.concat([ea_nl_labour_force.loc[:, (ea_nl_labour_force.columns.get_level_values(0), 'NL')],\n",
    "                           ea_nl_unemployed.loc[:,'NL'], ea_nl_vacancies.loc[:,'NL']], axis=1)\n",
    "nl_labour_mkt.columns = [POPULATION, LABOUR_FORCE, UNEMPLOYMENT_LEVEL, UNFILLED_VAC]\n",
    "#nl_labour_mkt.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "environmental-sustainability",
   "metadata": {},
   "outputs": [],
   "source": [
    "nl_labour_mkt[PARTICIPATION_RATE] = nl_labour_mkt[LABOUR_FORCE] / nl_labour_mkt[POPULATION]\n",
    "nl_labour_mkt[UNEMPLOYMENT_RATE] = nl_labour_mkt[UNEMPLOYMENT_LEVEL] / nl_labour_mkt[LABOUR_FORCE]\n",
    "nl_labour_mkt[UNFILLED_VACANCIES_LABOR_FORCE_RATE] = nl_labour_mkt[UNFILLED_VAC] / nl_labour_mkt[LABOUR_FORCE]\n",
    "nl_labour_mkt[JOB_VAC_PER_UNEMPLOYED] = nl_labour_mkt[UNFILLED_VAC] / nl_labour_mkt[UNEMPLOYMENT_LEVEL]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "particular-aaron",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Labour Force</th>\n",
       "      <th>Unemployment Level</th>\n",
       "      <th>Unfilled Vacancies</th>\n",
       "      <th>Participation Rate</th>\n",
       "      <th>Unemployment Rate</th>\n",
       "      <th>Job-vacancy Rate</th>\n",
       "      <th>Job Vacancies per Unemployed</th>\n",
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       "      <th>2000-01-01</th>\n",
       "      <td>11892.7</td>\n",
       "      <td>7982.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.671244</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2000-04-01</th>\n",
       "      <td>11888.3</td>\n",
       "      <td>8074.2</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>0.679172</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2000-07-01</th>\n",
       "      <td>11901.8</td>\n",
       "      <td>8154.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.685115</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2000-10-01</th>\n",
       "      <td>11914.7</td>\n",
       "      <td>8202.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.688435</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-01-01</th>\n",
       "      <td>11961.0</td>\n",
       "      <td>8201.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>216.8</td>\n",
       "      <td>0.685678</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.026435</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-01-01</th>\n",
       "      <td>13306.7</td>\n",
       "      <td>10039.4</td>\n",
       "      <td>371.0</td>\n",
       "      <td>432.9</td>\n",
       "      <td>0.754462</td>\n",
       "      <td>0.036954</td>\n",
       "      <td>0.043120</td>\n",
       "      <td>1.166846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-04-01</th>\n",
       "      <td>13310.2</td>\n",
       "      <td>10079.0</td>\n",
       "      <td>348.0</td>\n",
       "      <td>441.2</td>\n",
       "      <td>0.757239</td>\n",
       "      <td>0.034527</td>\n",
       "      <td>0.043774</td>\n",
       "      <td>1.267816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-07-01</th>\n",
       "      <td>13317.3</td>\n",
       "      <td>10118.5</td>\n",
       "      <td>366.0</td>\n",
       "      <td>416.8</td>\n",
       "      <td>0.759801</td>\n",
       "      <td>0.036171</td>\n",
       "      <td>0.041192</td>\n",
       "      <td>1.138798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2023-10-01</th>\n",
       "      <td>13368.3</td>\n",
       "      <td>10145.2</td>\n",
       "      <td>349.0</td>\n",
       "      <td>389.2</td>\n",
       "      <td>0.758900</td>\n",
       "      <td>0.034401</td>\n",
       "      <td>0.038363</td>\n",
       "      <td>1.115186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-01-01</th>\n",
       "      <td>13375.3</td>\n",
       "      <td>10153.3</td>\n",
       "      <td>386.0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>0.759108</td>\n",
       "      <td>0.038017</td>\n",
       "      <td>0.040676</td>\n",
       "      <td>1.069948</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>97 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Population  Labour Force Unemployment Level  Unfilled Vacancies  \\\n",
       "2000-01-01     11892.7        7982.9                NaN                 NaN   \n",
       "2000-04-01     11888.3        8074.2                NaN                 NaN   \n",
       "2000-07-01     11901.8        8154.1                NaN                 NaN   \n",
       "2000-10-01     11914.7        8202.5                NaN                 NaN   \n",
       "2001-01-01     11961.0        8201.4                NaN               216.8   \n",
       "...                ...           ...                ...                 ...   \n",
       "2023-01-01     13306.7       10039.4              371.0               432.9   \n",
       "2023-04-01     13310.2       10079.0              348.0               441.2   \n",
       "2023-07-01     13317.3       10118.5              366.0               416.8   \n",
       "2023-10-01     13368.3       10145.2              349.0               389.2   \n",
       "2024-01-01     13375.3       10153.3              386.0               413.0   \n",
       "\n",
       "            Participation Rate Unemployment Rate  Job-vacancy Rate  \\\n",
       "2000-01-01            0.671244               NaN               NaN   \n",
       "2000-04-01            0.679172               NaN               NaN   \n",
       "2000-07-01            0.685115               NaN               NaN   \n",
       "2000-10-01            0.688435               NaN               NaN   \n",
       "2001-01-01            0.685678               NaN          0.026435   \n",
       "...                        ...               ...               ...   \n",
       "2023-01-01            0.754462          0.036954          0.043120   \n",
       "2023-04-01            0.757239          0.034527          0.043774   \n",
       "2023-07-01            0.759801          0.036171          0.041192   \n",
       "2023-10-01            0.758900          0.034401          0.038363   \n",
       "2024-01-01            0.759108          0.038017          0.040676   \n",
       "\n",
       "           Job Vacancies per Unemployed  \n",
       "2000-01-01                          NaN  \n",
       "2000-04-01                          NaN  \n",
       "2000-07-01                          NaN  \n",
       "2000-10-01                          NaN  \n",
       "2001-01-01                          NaN  \n",
       "...                                 ...  \n",
       "2023-01-01                     1.166846  \n",
       "2023-04-01                     1.267816  \n",
       "2023-07-01                     1.138798  \n",
       "2023-10-01                     1.115186  \n",
       "2024-01-01                     1.069948  \n",
       "\n",
       "[97 rows x 8 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nl_labour_mkt"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "mobile-valuable",
   "metadata": {},
   "source": [
    "### Euro area\n",
    "#### Participation rate\n",
    "Participation rate &mdash; is percentage of population who work or are looking for work. Where by population we take residents who are aged from 15 to 74 and who can in theory work."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "retained-brain",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = ea_labour_mkt[PARTICIPATION_RATE].plot(figsize=(20,10), grid=True,\n",
    "                                            title=EA_PFX + PARTICIPATION_RATE + f' ({AGE_GROUP})',\n",
    "                                            xticks=ea_labour_mkt.index[::2], xlabel='', rot=45)\n",
    "ax2 = ax.twiny()\n",
    "min_pr, max_pr = ea_labour_mkt[PARTICIPATION_RATE].min() - .01, ea_labour_mkt[PARTICIPATION_RATE].max() + .01\n",
    "ea_labour_mkt[PARTICIPATION_RATE].plot.bar(ax=ax2, xlabel='', ylim=(min_pr, max_pr), legend=False)\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "ax2.xaxis.set_major_locator(mtick.NullLocator())\n",
    "ax.axhline(y=ea_labour_mkt[PARTICIPATION_RATE].mean(), ls='--', c='#1f77b4', label=MEAN_PARTICIPATION_RATE)\n",
    "ax.legend()\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, ea_labour_mkt.index[::2])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "gorgeous-installation",
   "metadata": {},
   "source": [
    "#### Unemployment rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "banned-anger",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "unempl_rate = ea_labour_mkt[UNEMPLOYMENT_RATE].dropna()\n",
    "ax = unempl_rate.plot(figsize=(20,10), grid=True, xticks=unempl_rate.index[::2], xlabel='',\n",
    "                      rot=45, title=EA_PFX + UNEMPLOYMENT_RATIO_GRAPH_TITLE + f' ({AGE_GROUP})')\n",
    "ax2 = ax.twiny()\n",
    "min_ur, max_ur = unempl_rate.min() - .01, unempl_rate.max() + .01\n",
    "unempl_rate.plot.bar(ax=ax2, xlabel='', legend=False, ylim=(min_ur, max_ur))\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "ax2.xaxis.set_major_locator(mtick.NullLocator())\n",
    "ax.axhline(y=unempl_rate.mean(), ls='--', label=MEAN_UNEMPLOYMENT_RATE)\n",
    "ax.legend()\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, unempl_rate.index[::2])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "continental-chemistry",
   "metadata": {},
   "source": [
    "### The Netherlands\n",
    "#### Participation Rate\n",
    "[Het CBS](https://www.cbs.nl/en-gb/) distinguishes between netto and brutto participation rates. Netto participation rate is the ration of the number of people who work to the total number of people in the labour force. Brutto participation rate is the ration of the number of people who work or are looking for work to the total number of people in the labour force. Netto participation rate is therefore always smaller than the brutto participation rate. In this notebook I look exclusively at the brutto participation rate as it's more representative of the job market and is the most frequently used in literature.\n",
    "\n",
    "As I've mentioned in the beginning of this notebook, I use not seasonally adjusted data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "regulated-saturday",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = nl_labour_mkt[PARTICIPATION_RATE].plot(figsize=(20,10), grid=True,\n",
    "                                            title=NL_PFX + PARTICIPATION_RATE + f' ({AGE_GROUP})',\n",
    "                                            xticks=nl_labour_mkt.index[::2], xlabel='', rot=45)\n",
    "ax2 = ax.twiny()\n",
    "min_pr, max_pr = nl_labour_mkt[PARTICIPATION_RATE].min() - .01, nl_labour_mkt[PARTICIPATION_RATE].max() + .01\n",
    "nl_labour_mkt[PARTICIPATION_RATE].plot.bar(ax=ax2, xlabel='', ylim=(min_pr, max_pr), legend=False)\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "ax2.xaxis.set_major_locator(mtick.NullLocator())\n",
    "ax.axhline(y=nl_labour_mkt[PARTICIPATION_RATE].mean(), ls='--', c='#1f77b4', label=MEAN_PARTICIPATION_RATE)\n",
    "ax.legend()\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, nl_labour_mkt.index[::2])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "considerable-cleaning",
   "metadata": {},
   "source": [
    "#### Unemployment rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "environmental-package",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "unempl_rate = nl_labour_mkt[UNEMPLOYMENT_RATE].dropna()\n",
    "ax = unempl_rate.plot(figsize=(20,10), grid=True, xticks=unempl_rate.index[::2], xlabel='',\n",
    "                      rot=45, title=NL_PFX + UNEMPLOYMENT_RATIO_GRAPH_TITLE + f' ({AGE_GROUP})')\n",
    "ax2 = ax.twiny()\n",
    "min_ur, max_ur = unempl_rate.min() - .01, unempl_rate.max() + .01\n",
    "unempl_rate.plot.bar(ax=ax2, xlabel='', legend=False, ylim=(min_ur, max_ur))\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "ax2.xaxis.set_major_locator(mtick.NullLocator())\n",
    "ax.axhline(y=unempl_rate.mean(), ls='--', label=MEAN_UNEMPLOYMENT_RATE)\n",
    "ax.legend()\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, unempl_rate.index[::2])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "subsequent-cholesterol",
   "metadata": {},
   "source": [
    "#### Job vacancy rate\n",
    "_The Job Vacancy Rate_ (aka _The Unfilled Vacancies to Labor Force rate_) is by far the most well known measure of labour market tightness. It shows the ratio of unfilled vacancies to the labour force (i.e. the total pool of people who work or are looking for work). I like this measure more than _Job vacancies per unemployed_, which I describe further down in this notebook because in the present labour market an increasing number of vacancies are filled by job switchers rather than the unemployed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "theoretical-retention",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "job_vac_rate = nl_labour_mkt[UNFILLED_VACANCIES_LABOR_FORCE_RATE].dropna()\n",
    "ax = job_vac_rate.plot(figsize=(20,10), grid=True, xticks=job_vac_rate.index[::2], xlabel='', rot=45,\n",
    "                       title=NL_PFX + JOB_VAC_RATE_GRAPH_TITLE + f' ({AGE_GROUP})')\n",
    "ax2 = ax.twiny()\n",
    "job_vac_rate.plot.bar(ax=ax2, xlabel='', legend=False)\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "ax2.xaxis.set_major_locator(mtick.NullLocator())\n",
    "ax.axhline(y=job_vac_rate.mean(), ls='--', label=MEAN_UNFILLED_VACANCIES_LABOR_FORCE_RATE)\n",
    "ax.legend()\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, job_vac_rate.index[::2])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "british-velvet",
   "metadata": {},
   "source": [
    "#### Job vacancies per unemployed person"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "expensive-victory",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "vac_per_unempl = nl_labour_mkt[JOB_VAC_PER_UNEMPLOYED].dropna()\n",
    "ax = vac_per_unempl.plot(figsize=(20,10), grid=True, xticks=vac_per_unempl.index[::2], xlabel='', rot=45,\n",
    "                         title=NL_PFX + JOB_VAC_PER_UNEMPLOYED_GRAPH_TITLE + ' ({:})'.format(AGE_GROUP))\n",
    "ax2 = ax.twiny()\n",
    "vac_per_unempl.plot.bar(ax=ax2, xlabel='', legend=False)\n",
    "ax2.xaxis.set_major_locator(mtick.NullLocator())\n",
    "ax.axhline(y=vac_per_unempl.mean(), ls='--', label=MEAN_VACANCIES_PER_UNEMPLOYED)\n",
    "ax.legend()\n",
    "_ = ax.set_xticklabels(list(map('{:%Y-%m}'.format, vac_per_unempl.index[::2])))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "olive-funeral",
   "metadata": {},
   "source": [
    "### The Beveridge Curve\n",
    "[The Beveridge Curve](https://en.wikipedia.org/wiki/Beveridge_curve) compares the unemployment rate to the job-vacancy rate (the number of job vacancies divided by the total labour force) and shows how this changes over time. I've looked at each of these rates individually earlier in this notebook, in this section I plot one against the other.\n",
    "\n",
    "The Beveridge curve tends to show an inverse relationship — unfilled vacancies tend to increase as unemployment rate decreases. The logic being that when few are looking for a job, employers take longer to fill in their vacancies. Those years where the vacancy rate is higher for the same unemployment rate constitute less efficient a labor market where 1) skills mismatches between what employers are looking for and what job seekers have, or 2) vacancies being filled predominantly by job switchers rather than the jobless, or 3) lower willingness on the part of the unemployed to take a given job might be the reasons."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "british-albuquerque",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bvg_curve_df = nl_labour_mkt.loc[:, [UNEMPLOYMENT_RATE, UNFILLED_VACANCIES_LABOR_FORCE_RATE]]\n",
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "sc = ax.scatter(x=bvg_curve_df.iloc[:,0], y=bvg_curve_df.iloc[:,1], c=mdates.date2num(bvg_curve_df.index))\n",
    "ax.xaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter(1))\n",
    "ax.set_xlabel(bvg_curve_df.columns[0])\n",
    "ax.set_ylabel(bvg_curve_df.columns[1])\n",
    "ax.set_title(NL_PFX + 'Beveridge Curve ({:})'.format( AGE_GROUP))\n",
    "# Add labels to the last three months for ease of understanding the current trend\n",
    "for i in range(-1, -4, -1):\n",
    "    plt.text(bvg_curve_df.iloc[i,0], bvg_curve_df.iloc[i,1], f'{bvg_curve_df.index[i]:%Y-%m}')\n",
    "ax.grid(True)\n",
    "loc = mdates.AutoDateLocator()\n",
    "_ = fig.colorbar(sc, ticks=loc, format=mdates.AutoDateFormatter(loc))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "heated-stationery",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}