From eed4142e2bcbed4cd1873067101795ffbfcd4e77 Mon Sep 17 00:00:00 2001 From: Stiofain Fordham <17852477+sdfordham@users.noreply.github.com> Date: Sun, 19 Nov 2023 14:50:32 +0000 Subject: [PATCH 1/7] Add a method that returns ATT --- pysyncon/base.py | 30 +++++++++++++++++++++++++++++- 1 file changed, 29 insertions(+), 1 deletion(-) diff --git a/pysyncon/base.py b/pysyncon/base.py index fd03ed1..944be7d 100644 --- a/pysyncon/base.py +++ b/pysyncon/base.py @@ -94,7 +94,7 @@ def path_plot( def _gaps(self, time_period: Optional[IsinArg_t] = None) -> pd.Series: """Calculate the gaps (difference between factual - and estimated conterfactual) + and estimated counterfactual) Parameters ---------- @@ -238,6 +238,34 @@ def summary(self, round: int = 3) -> pd.DataFrame: return pd.concat([treated, synthetic, sample_mean], axis=1).round(round) + def att(self, time_period: IsinArg_t) -> dict[str, float]: + """Computes the average treatment effect on the treated unit (ATT) and + the standard error to the value over the chosen time-period. + + Parameters + ---------- + time_period : Iterable | pandas.Series | dict, optional + Time period to compute the ATT over. + + Returns + ------- + dict + A dictionary with the ATT value and the standard error to the ATT. + + Raises + ------ + ValueError + If there is no weight matrix available + """ + if self.W is None: + raise ValueError("No weight matrix available; fit data first.") + gaps = self._gaps(time_period=time_period) + + att = np.mean(gaps) + se = np.std(gaps, ddof=1) / np.sqrt(len(time_period)) + + return {"att": att.item(), "se": se.item()} + class VanillaOptimMixin: @staticmethod From 6514abb58c403eb0c28c544640e6c1bfd7bdea58 Mon Sep 17 00:00:00 2001 From: Stiofain Fordham <17852477+sdfordham@users.noreply.github.com> Date: Sun, 19 Nov 2023 14:50:59 +0000 Subject: [PATCH 2/7] Add a block for ATT --- examples/basque.ipynb | 61 +++++++++++++++++++++++++++++++------------ 1 file changed, 44 insertions(+), 17 deletions(-) diff --git a/examples/basque.ipynb b/examples/basque.ipynb index 5d3ab93..7286eb3 100644 --- a/examples/basque.ipynb +++ b/examples/basque.ipynb @@ -205,13 +205,40 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The summary function give more information on the predictor values. The first column shows the value of the $V$ matrix for each predictor, the column 'treated' shows the mean value of each predictor for the treated unit over the time period `time_predictors_prior`, the column 'synthetic' shows the mean value of each predictor for the synthetic control over the time period `time_predictors_prior` and finally the column 'sample mean' shows the sample mean of that predictor for all control units over the time period `time_predictors_prior` i.e. this is the same as the synthetic control with all weights equal." + "Compute the average treatment effect on the treated unit (ATT) over the post-treatment time period. This method returns a standard error also." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'att': -0.6995654654228687, 'se': 0.07078075875424619}" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "synth.att(time_period=range(1975, 1998))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The summary function give more information on the predictor values. The first column shows the value of the $V$ matrix for each predictor, the column 'treated' shows the mean value of each predictor for the treated unit over the time period `time_predictors_prior`, the column 'synthetic' shows the mean value of each predictor for the synthetic control over the time period `time_predictors_prior` and finally the column 'sample mean' shows the sample mean of that predictor for all control units over the time period `time_predictors_prior` i.e. this is the same as the synthetic control with all weights equal." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, "outputs": [ { "data": { @@ -361,7 +388,7 @@ "special.8.popdens 0.181 246.890 196.284 97.468" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -380,7 +407,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -389,15 +416,15 @@ "text": [ "(1/17) Completed placebo test for Spain (Espana).\n", "(2/17) Completed placebo test for Castilla-La Mancha.\n", - "(3/17) Completed placebo test for Aragon.\n", - "(4/17) Completed placebo test for Cantabria.\n", - "(5/17) Completed placebo test for Cataluna.\n", - "(6/17) Completed placebo test for Baleares (Islas).\n", + "(3/17) Completed placebo test for Cantabria.\n", + "(4/17) Completed placebo test for Aragon.\n", + "(5/17) Completed placebo test for Baleares (Islas).\n", + "(6/17) Completed placebo test for Canarias.\n", "(7/17) Completed placebo test for Principado De Asturias.\n", - "(8/17) Completed placebo test for Canarias.\n", - "(9/17) Completed placebo test for Castilla Y Leon.\n", + "(8/17) Completed placebo test for Cataluna.\n", + "(9/17) Completed placebo test for Madrid (Comunidad De).\n", "(10/17) Completed placebo test for Andalucia.\n", - "(11/17) Completed placebo test for Madrid (Comunidad De).\n", + "(11/17) Completed placebo test for Castilla Y Leon.\n", "(12/17) Completed placebo test for Comunidad Valenciana.\n", "(13/17) Completed placebo test for Extremadura.\n", "(14/17) Completed placebo test for Rioja (La).\n", @@ -428,12 +455,12 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -458,12 +485,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -491,7 +518,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -500,7 +527,7 @@ "0.16666666666666666" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -526,7 +553,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.0" + "version": "3.10.4" }, "orig_nbformat": 4, "vscode": { From d9647afc05828bcae46f8d8581d435b868f32a71 Mon Sep 17 00:00:00 2001 From: Stiofain Fordham <17852477+sdfordham@users.noreply.github.com> Date: Sun, 19 Nov 2023 14:55:53 +0000 Subject: [PATCH 3/7] Add ATT method to the germany nb --- examples/germany.ipynb | 38 ++++++++++++++++++++++++++++++++++++-- 1 file changed, 36 insertions(+), 2 deletions(-) diff --git a/examples/germany.ipynb b/examples/germany.ipynb index d7f027d..3e36c7b 100644 --- a/examples/germany.ipynb +++ b/examples/germany.ipynb @@ -233,10 +233,44 @@ "synth.gaps_plot(time_period=range(1960, 2004), treatment_time=1990)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Compute the average treatment effect on the treated unit (ATT) over the post-treatment time period. This method returns a standard error also." + ] + }, { "cell_type": "code", "execution_count": 7, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'att': -1558.4329540422546, 'se': 317.5609062753852}" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "synth.att(time_period=range(1990, 2004))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The summary function give more information on the predictor values. The first column shows the value of the $V$ matrix for each predictor, the column 'treated' shows the mean value of each predictor for the treated unit over the time period `time_predictors_prior`, the column 'synthetic' shows the mean value of each predictor for the synthetic control over the time period `time_predictors_prior` and finally the column 'sample mean' shows the sample mean of that predictor for all control units over the time period `time_predictors_prior` i.e. this is the same as the synthetic control with all weights equal." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, "outputs": [ { "data": { @@ -322,7 +356,7 @@ "special.3.invest80 0.155 27.018 27.073 25.895" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -348,7 +382,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.0" + "version": "3.10.4" }, "orig_nbformat": 4, "vscode": { From 8423a6c544cd8f7d9ef6d1b1a9fb7475f21c3612 Mon Sep 17 00:00:00 2001 From: Stiofain Fordham <17852477+sdfordham@users.noreply.github.com> Date: Sun, 19 Nov 2023 15:05:13 +0000 Subject: [PATCH 4/7] Add ATT method to the texas nb --- examples/texas.ipynb | 38 ++++++++++++++++++++++++++++++++++++-- 1 file changed, 36 insertions(+), 2 deletions(-) diff --git a/examples/texas.ipynb b/examples/texas.ipynb index da6df5a..8a3ecdc 100644 --- a/examples/texas.ipynb +++ b/examples/texas.ipynb @@ -35,7 +35,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -210,6 +210,40 @@ "synth.gaps_plot(time_period=range(1985, 2001), treatment_time=1993)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Compute the average treatment effect on the treated unit (ATT) over the post-treatment time period. This method returns a standard error also." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'att': 20339.375838131393, 'se': 3190.4946788704715}" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "synth.att(time_period=range(1993, 2001))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The summary function give more information on the predictor values. The first column shows the value of the $V$ matrix for each predictor, the column 'treated' shows the mean value of each predictor for the treated unit over the time period `time_predictors_prior`, the column 'synthetic' shows the mean value of each predictor for the synthetic control over the time period `time_predictors_prior` and finally the column 'sample mean' shows the sample mean of that predictor for all control units over the time period `time_predictors_prior` i.e. this is the same as the synthetic control with all weights equal." + ] + }, { "cell_type": "code", "execution_count": 6, @@ -389,7 +423,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.0 (tags/v3.9.0:9cf6752, Oct 5 2020, 15:34:40) [MSC v.1927 64 bit (AMD64)]" + "version": "3.10.4" }, "orig_nbformat": 4, "vscode": { From 156bd2c0b77d27beddfe3030f4ec2d207b78cc1b Mon Sep 17 00:00:00 2001 From: Stiofain <17852477+sdfordham@users.noreply.github.com> Date: Mon, 20 Nov 2023 19:37:27 +0000 Subject: [PATCH 5/7] Add att unit tests on example data --- tests/test_synth_basque.py | 19 +++++++++++++++++++ tests/test_synth_germany.py | 20 ++++++++++++++++++++ tests/test_synth_texas.py | 19 +++++++++++++++++++ 3 files changed, 58 insertions(+) diff --git a/tests/test_synth_basque.py b/tests/test_synth_basque.py index 6c14027..4a8b74c 100644 --- a/tests/test_synth_basque.py +++ b/tests/test_synth_basque.py @@ -154,6 +154,8 @@ def setUp(self): ) self.treatment_time = 1975 self.pvalue = 0.16666666666666666 + self.att = {'att': -0.6995647842110987, 'se': 0.07078092130438395} + self.att_time_period = range(1975, 1998) def test_weights(self): synth = Synth() @@ -199,3 +201,20 @@ def test_placebo_weights(self): placebo_test.pvalue(treatment_time=self.treatment_time), places=3, ) + + def test_att(self): + synth = Synth() + synth.fit( + dataprep=self.dataprep, + optim_method=self.optim_method, + optim_initial=self.optim_initial, + ) + synth_att = synth.att(time_period=self.att_time_period) + + # Allow a tolerance of 2.5% + att_perc_delta = abs(1.0 - self.att['att'] / synth_att['att']) + self.assertLessEqual(att_perc_delta, 0.025) + + # Allow a tolerance of 2.5% + se_perc_delta = abs(1.0 - self.att['se'] / synth_att['se']) + self.assertLessEqual(se_perc_delta, 0.025) diff --git a/tests/test_synth_germany.py b/tests/test_synth_germany.py index 92f8d83..d6ae5c5 100644 --- a/tests/test_synth_germany.py +++ b/tests/test_synth_germany.py @@ -102,6 +102,8 @@ def setUp(self): "Australia": 0.0, "New Zealand": 0.0, } + self.att = {'att': -1555.1346777620479, 'se': 317.6469306023242} + self.att_time_period = range(1990, 2004) def test_weights(self): synth = Synth() @@ -115,3 +117,21 @@ def test_weights(self): pd.testing.assert_series_equal( weights, synth.weights(round=9), check_exact=False, atol=0.025 ) + + def test_att(self): + synth = Synth() + synth.fit( + dataprep=self.dataprep, + optim_method=self.optim_method, + optim_initial=self.optim_initial, + custom_V=self.custom_V, + ) + synth_att = synth.att(time_period=self.att_time_period) + + # Allow a tolerance of 2.5% + att_perc_delta = abs(1.0 - self.att['att'] / synth_att['att']) + self.assertLessEqual(att_perc_delta, 0.025) + + # Allow a tolerance of 2.5% + se_perc_delta = abs(1.0 - self.att['se'] / synth_att['se']) + self.assertLessEqual(se_perc_delta, 0.025) diff --git a/tests/test_synth_texas.py b/tests/test_synth_texas.py index 58fedf0..7574e93 100644 --- a/tests/test_synth_texas.py +++ b/tests/test_synth_texas.py @@ -137,6 +137,8 @@ def setUp(self): "Wisconsin": 0.0, "Wyoming": 0.0, } + self.att = {'att': 20339.375838131393, 'se': 3190.4946788704715} + self.att_time_period = range(1993, 2001) def test_weights(self): synth = Synth() @@ -150,3 +152,20 @@ def test_weights(self): pd.testing.assert_series_equal( weights, synth.weights(round=9), check_exact=False, atol=0.025 ) + + def test_att(self): + synth = Synth() + synth.fit( + dataprep=self.dataprep, + optim_method=self.optim_method, + optim_initial=self.optim_initial, + ) + synth_att = synth.att(time_period=self.att_time_period) + + # Allow a tolerance of 2.5% + att_perc_delta = abs(1.0 - self.att['att'] / synth_att['att']) + self.assertLessEqual(att_perc_delta, 0.025) + + # Allow a tolerance of 2.5% + se_perc_delta = abs(1.0 - self.att['se'] / synth_att['se']) + self.assertLessEqual(se_perc_delta, 0.025) From 94807fc46619b21a801cd4dfb14d0c3b82048321 Mon Sep 17 00:00:00 2001 From: Stiofain <17852477+sdfordham@users.noreply.github.com> Date: Mon, 20 Nov 2023 19:43:38 +0000 Subject: [PATCH 6/7] Lint the att unit tests --- tests/test_synth_basque.py | 8 ++++---- tests/test_synth_germany.py | 8 ++++---- tests/test_synth_texas.py | 8 ++++---- 3 files changed, 12 insertions(+), 12 deletions(-) diff --git a/tests/test_synth_basque.py b/tests/test_synth_basque.py index 4a8b74c..8e3b9f8 100644 --- a/tests/test_synth_basque.py +++ b/tests/test_synth_basque.py @@ -154,7 +154,7 @@ def setUp(self): ) self.treatment_time = 1975 self.pvalue = 0.16666666666666666 - self.att = {'att': -0.6995647842110987, 'se': 0.07078092130438395} + self.att = {"att": -0.6995647842110987, "se": 0.07078092130438395} self.att_time_period = range(1975, 1998) def test_weights(self): @@ -212,9 +212,9 @@ def test_att(self): synth_att = synth.att(time_period=self.att_time_period) # Allow a tolerance of 2.5% - att_perc_delta = abs(1.0 - self.att['att'] / synth_att['att']) + att_perc_delta = abs(1.0 - self.att["att"] / synth_att["att"]) self.assertLessEqual(att_perc_delta, 0.025) - + # Allow a tolerance of 2.5% - se_perc_delta = abs(1.0 - self.att['se'] / synth_att['se']) + se_perc_delta = abs(1.0 - self.att["se"] / synth_att["se"]) self.assertLessEqual(se_perc_delta, 0.025) diff --git a/tests/test_synth_germany.py b/tests/test_synth_germany.py index d6ae5c5..bf3d039 100644 --- a/tests/test_synth_germany.py +++ b/tests/test_synth_germany.py @@ -102,7 +102,7 @@ def setUp(self): "Australia": 0.0, "New Zealand": 0.0, } - self.att = {'att': -1555.1346777620479, 'se': 317.6469306023242} + self.att = {"att": -1555.1346777620479, "se": 317.6469306023242} self.att_time_period = range(1990, 2004) def test_weights(self): @@ -129,9 +129,9 @@ def test_att(self): synth_att = synth.att(time_period=self.att_time_period) # Allow a tolerance of 2.5% - att_perc_delta = abs(1.0 - self.att['att'] / synth_att['att']) + att_perc_delta = abs(1.0 - self.att["att"] / synth_att["att"]) self.assertLessEqual(att_perc_delta, 0.025) - + # Allow a tolerance of 2.5% - se_perc_delta = abs(1.0 - self.att['se'] / synth_att['se']) + se_perc_delta = abs(1.0 - self.att["se"] / synth_att["se"]) self.assertLessEqual(se_perc_delta, 0.025) diff --git a/tests/test_synth_texas.py b/tests/test_synth_texas.py index 7574e93..32c0f2f 100644 --- a/tests/test_synth_texas.py +++ b/tests/test_synth_texas.py @@ -137,7 +137,7 @@ def setUp(self): "Wisconsin": 0.0, "Wyoming": 0.0, } - self.att = {'att': 20339.375838131393, 'se': 3190.4946788704715} + self.att = {"att": 20339.375838131393, "se": 3190.4946788704715} self.att_time_period = range(1993, 2001) def test_weights(self): @@ -163,9 +163,9 @@ def test_att(self): synth_att = synth.att(time_period=self.att_time_period) # Allow a tolerance of 2.5% - att_perc_delta = abs(1.0 - self.att['att'] / synth_att['att']) + att_perc_delta = abs(1.0 - self.att["att"] / synth_att["att"]) self.assertLessEqual(att_perc_delta, 0.025) - + # Allow a tolerance of 2.5% - se_perc_delta = abs(1.0 - self.att['se'] / synth_att['se']) + se_perc_delta = abs(1.0 - self.att["se"] / synth_att["se"]) self.assertLessEqual(se_perc_delta, 0.025) From 0966a769bba7a6075143b3d4b1a761193a76b860 Mon Sep 17 00:00:00 2001 From: Stiofain <17852477+sdfordham@users.noreply.github.com> Date: Mon, 20 Nov 2023 19:44:00 +0000 Subject: [PATCH 7/7] Test att raise when not fit --- tests/test_synth.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/tests/test_synth.py b/tests/test_synth.py index a441c9c..c8c02af 100644 --- a/tests/test_synth.py +++ b/tests/test_synth.py @@ -129,3 +129,8 @@ def test_summary(self): synth.V = None # No V matrix available self.assertRaises(ValueError, synth.summary) + + def test_att(self): + synth = pysyncon.Synth() + # No weight matrix set + self.assertRaises(ValueError, synth.att, range(1))